{"id":173882,"date":"2025-02-09T16:20:29","date_gmt":"2025-02-09T16:20:29","guid":{"rendered":"https:\/\/flypix.ai\/?p=173882"},"modified":"2025-02-10T14:27:12","modified_gmt":"2025-02-10T14:27:12","slug":"image-recognition-models-cnns","status":"publish","type":"post","link":"https:\/\/flypix.ai\/ko\/image-recognition-models-cnns\/","title":{"rendered":"CNN \ub300 \ud2b8\ub79c\uc2a4\ud3ec\uba38: \uc774\ubbf8\uc9c0 \uc778\uc2dd \ubaa8\ub378 \uc124\uba85"},"content":{"rendered":"<p>\uc778\uacf5 \uc9c0\ub2a5\uc758 \uae30\ub465\uc778 \uc774\ubbf8\uc9c0 \uc778\uc2dd\uc740 \uae30\uacc4\uac00 \uc778\uac04\uacfc \uac19\uc740 \uc815\ubc00\ub3c4\ub85c \uc2dc\uac01\uc801 \ub370\uc774\ud130\ub97c \ud574\uc11d\ud560 \uc218 \uc788\ub3c4\ub85d \ud569\ub2c8\ub2e4. \uc758\ub8cc \uc9c4\ub2e8\uc5d0\uc11c \uc790\uc728 \uc8fc\ud589\uc5d0 \uc774\ub974\uae30\uae4c\uc9c0 \uc774 \uae30\uc220\uc740 \ud569\uc131\uacf1 \uc2e0\uacbd\ub9dd(CNN) \ubc0f \ube44\uc804 \ubcc0\ud658\uae30(ViT)\uc640 \uac19\uc740 \uace0\uae09 \ubaa8\ub378\uc5d0 \uc758\uc874\ud569\ub2c8\ub2e4. CNN\uc774 \ub85c\uceec \ud53c\ucc98 \ucd94\ucd9c\uc5d0\uc11c \ud6a8\uc728\uc131\uc73c\ub85c \uc6b0\uc138\ud55c \ubc18\uba74, \ubcc0\ud658\uae30\ub294 \uae00\ub85c\ubc8c \ucee8\ud14d\uc2a4\ud2b8\ub97c \ud3ec\ucc29\ud558\ub294 \ub370 \ub6f0\uc5b4\ub0a9\ub2c8\ub2e4. \uc774 \uae30\uc0ac\uc5d0\uc11c\ub294 \uc774\ub7ec\ud55c \uc544\ud0a4\ud14d\ucc98\ub97c \ube44\uad50\ud558\uace0, \ud558\uc774\ube0c\ub9ac\ub4dc \ud601\uc2e0\uc744 \uac15\uc870\ud558\uba70, AI \ube44\uc804\uc758 \ubbf8\ub798\ub97c \ud615\uc131\ud558\ub294 \uacfc\uc81c\uc640 \ud568\uaed8 \uc2e4\uc81c \uc138\uacc4\uc5d0 \ubbf8\uce58\ub294 \uc601\ud5a5\uc744 \uc0b4\ud3b4\ubd05\ub2c8\ub2e4.<\/p>\n\n\n\n<figure class=\"wp-block-image size-large\"><img fetchpriority=\"high\" decoding=\"async\" width=\"1024\" height=\"683\" src=\"https:\/\/flypix.ai\/wp-content\/uploads\/2025\/02\/download-19-1024x683.jpeg\" alt=\"\" class=\"wp-image-173902\" srcset=\"https:\/\/flypix.ai\/wp-content\/uploads\/2025\/02\/download-19-1024x683.jpeg 1024w, https:\/\/flypix.ai\/wp-content\/uploads\/2025\/02\/download-19-300x200.jpeg 300w, https:\/\/flypix.ai\/wp-content\/uploads\/2025\/02\/download-19-768x512.jpeg 768w, https:\/\/flypix.ai\/wp-content\/uploads\/2025\/02\/download-19-18x12.jpeg 18w, https:\/\/flypix.ai\/wp-content\/uploads\/2025\/02\/download-19.jpeg 1500w\" sizes=\"(max-width: 1024px) 100vw, 1024px\" \/><\/figure>\n\n\n\n<h2 class=\"wp-block-heading\">\ud569\uc131 \uc2e0\uacbd\ub9dd(CNN): \ud604\ub300 \ube44\uc804 \uc2dc\uc2a4\ud15c\uc758 \uc911\ucd94<\/h2>\n\n\n\n<p>\ud569\uc131\uacf1 \uc2e0\uacbd\ub9dd(CNN)\uc740 \uc778\uac04 \uc2dc\uac01 \ud53c\uc9c8\uc758 \uacc4\uce35\uc801 \uc870\uc9c1\uc5d0\uc11c \uc601\uac10\uc744 \ubc1b\uc740 \ud604\ub300 \uc774\ubbf8\uc9c0 \uc778\uc2dd\uc758 \ucd08\uc11d\uc785\ub2c8\ub2e4. \uc218\ub3d9\uc73c\ub85c \uc5d4\uc9c0\ub2c8\uc5b4\ub9c1\ub41c \uae30\ub2a5\uc5d0 \uc758\uc874\ud558\ub294 \uae30\uc874\uc758 \uba38\uc2e0 \ub7ec\ub2dd \ubaa8\ub378\uacfc \ub2ec\ub9ac CNN\uc740 \uc6d0\uc2dc \ud53d\uc140 \ub370\uc774\ud130\uc5d0\uc11c \uc9c1\uc811 \ud328\ud134\uc758 \uacf5\uac04\uc801 \uacc4\uce35(\ub2e8\uc21c\ud55c \ubaa8\uc11c\ub9ac\uc640 \ud14d\uc2a4\ucc98\uc5d0\uc11c \ubcf5\uc7a1\ud55c \uac1d\uccb4\uae4c\uc9c0)\uc744 \uc790\ub3d9\uc73c\ub85c \ud559\uc2b5\ud569\ub2c8\ub2e4. \uc774\ub7ec\ud55c \uae30\ub2a5 \ucd94\ucd9c\uc744 \uc790\uccb4 \ucd5c\uc801\ud654\ud558\ub294 \uae30\ub2a5 \ub355\ubd84\uc5d0 CNN\uc740 \uac1d\uccb4 \uac10\uc9c0, \uc758\ub8cc \uc601\uc0c1 \ubc0f \uc5bc\uad74 \uc778\uc2dd\uacfc \uac19\uc740 \uc791\uc5c5\uc5d0 \uc5c6\uc5b4\uc11c\ub294 \uc548 \ub420 \uc874\uc7ac\uac00 \ub418\uc5c8\uc2b5\ub2c8\ub2e4.<\/p>\n\n\n\n<p>CNN\uc758 \ud575\uc2ec\uc740 \ud559\uc2b5 \uac00\ub2a5\ud55c \ud544\ud130(\ucee4\ub110)\ub97c \uc785\ub825 \uc774\ubbf8\uc9c0\uc5d0 \uc801\uc6a9\ud558\ub294 \ud569\uc131\uacf1 \uacc4\uce35\uc785\ub2c8\ub2e4. \uc774\ub7ec\ud55c \ud544\ud130\ub294 \uc791\uc740 \ucc3d(\uc608: 3\u00d73 \ub610\ub294 5\u00d75 \ud53d\uc140)\uc73c\ub85c \uc774\ubbf8\uc9c0\ub97c \uac00\ub85c\uc9c8\ub7ec \uc774\ub3d9\ud558\uba74\uc11c \ubaa8\uc11c\ub9ac, \ubaa8\uc11c\ub9ac \ub610\ub294 \uc0c9\uc0c1 \uadf8\ub77c\ub370\uc774\uc158\uacfc \uac19\uc740 \ub85c\uceec \ud53c\ucc98\ub97c \uac10\uc9c0\ud569\ub2c8\ub2e4. \uac01 \ud569\uc131\uacf1 \uc5f0\uc0b0\uc740 \ud544\ud130 \ud328\ud134\uc774 \ub098\ud0c0\ub098\ub294 \uc601\uc5ed\uc744 \uac15\uc870\ud558\ub294 \ud53c\ucc98 \ub9f5\uc744 \uc0dd\uc131\ud569\ub2c8\ub2e4. \uc5ec\ub7ec \ud569\uc131\uacf1 \uacc4\uce35\uc744 \uc313\uc73c\uba74 \ub124\ud2b8\uc6cc\ud06c\uac00 \uc810\uc810 \ub354 \ucd94\uc0c1\uc801\uc778 \ud45c\ud604\uc744 \uad6c\ucd95\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4. \ucd08\uae30 \uacc4\uce35\uc740 \uae30\ubcf8 \ubaa8\uc591\uc744 \ucea1\ucc98\ud558\ub294 \ubc18\uba74, \ub354 \uae4a\uc740 \uacc4\uce35\uc740 \uc5bc\uad74\uc774\ub098 \ucc28\ub7c9\uacfc \uac19\uc740 \ubcf5\uc7a1\ud55c \uad6c\uc870\ub97c \uc2dd\ubcc4\ud569\ub2c8\ub2e4.<\/p>\n\n\n\n<p>\uacc4\uc0b0 \ubcf5\uc7a1\uc131\uc744 \uad00\ub9ac\ud558\uace0 \uacfc\uc801\ud569\uc744 \ubc29\uc9c0\ud558\uae30 \uc704\ud574 \ud480\ub9c1 \ub808\uc774\uc5b4(\uc77c\ubc18\uc801\uc73c\ub85c \ucd5c\ub300 \ud480\ub9c1)\ub294 \uac01 \ucc3d\uc5d0\uc11c \uac00\uc7a5 \ub208\uc5d0 \ub744\ub294 \uc815\ubcf4\ub9cc \uc720\uc9c0\ud558\uc5ec \ud53c\ucc98 \ub9f5\uc744 \ub2e4\uc6b4\uc0d8\ud50c\ub9c1\ud569\ub2c8\ub2e4. \uc608\ub97c \ub4e4\uc5b4, \ucd5c\ub300 \ud480\ub9c1\uc740 2\u00d72 \uadf8\ub9ac\ub4dc\uc5d0\uc11c \uac00\uc7a5 \ub192\uc740 \uac12\uc744 \ucd94\ucd9c\ud558\uc5ec \uacf5\uac04 \ucc28\uc6d0\uc744 \uc904\uc774\ub294 \ub3d9\uc2dc\uc5d0 \uc911\uc694\ud55c \ud53c\ucc98\ub97c \ubcf4\uc874\ud569\ub2c8\ub2e4. \uc774 \ud504\ub85c\uc138\uc2a4\ub294 \ub610\ud55c \ubcc0\ud658 \ubd88\ubcc0\uc131\uc744 \ub3c4\uc785\ud558\uc5ec CNN\uc774 \uc774\ubbf8\uc9c0 \ub0b4\uc758 \uac1d\uccb4 \uc704\uce58 \ubcc0\ud654\uc5d0 \uac15\uac74\ud558\uac8c \ub9cc\ub4ed\ub2c8\ub2e4.<\/p>\n\n\n\n<p>ReLU(Rectified Linear Unit)\uc640 \uac19\uc740 \ube44\uc120\ud615 \ud65c\uc131\ud654 \ud568\uc218\ub294 \ud569\uc131\uacf1 \ubc0f \ud480\ub9c1 \ub808\uc774\uc5b4\ub97c \ub530\ub974\ubbc0\ub85c \ub124\ud2b8\uc6cc\ud06c\uac00 \uc74c\uc218 \uac12\uc744 \ubc84\ub9bc\uc73c\ub85c\uc368 \ubcf5\uc7a1\ud55c \uad00\uacc4\ub97c \ubaa8\ub378\ub9c1\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4. \ub9c8\uc9c0\ub9c9\uc73c\ub85c \ub124\ud2b8\uc6cc\ud06c \ub05d\uc758 \uc644\uc804\ud788 \uc5f0\uacb0\ub41c \ub808\uc774\uc5b4\ub294 \uc774\ub7ec\ud55c \ud559\uc2b5\ub41c \uae30\ub2a5\uc744 \uc9d1\uacc4\ud558\uc5ec \uc774\ubbf8\uc9c0\ub97c \ub808\uc774\ube14(\uc608: &quot;\uace0\uc591\uc774&quot; \ub610\ub294 &quot;\uac1c&quot;)\ub85c \ubd84\ub958\ud569\ub2c8\ub2e4.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">\uc8fc\uc694 CNN \uc544\ud0a4\ud14d\ucc98<\/h3>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>\ub974\ub137-5<\/strong> (1998): \uc580 \ub974\ucfe4(Yann LeCun)\uc774 \uc190\uc73c\ub85c \uc4f4 \uc22b\uc790 \uc778\uc2dd\uc744 \uc704\ud574 \uc124\uacc4\ud55c \uc120\uad6c\uc801\uc778 CNN\uc740 \ud604\ub300 \uac74\ucd95\uc758 \uae30\ucd08\ub97c \ub9c8\ub828\ud588\uc2b5\ub2c8\ub2e4.<\/li>\n\n\n\n<li><strong>\uc54c\ub809\uc2a4\ub137<\/strong> (2012): GPU\ub97c \uc0ac\uc6a9\ud558\uc5ec CNN\uc744 \ud655\uc7a5\ud558\uace0 ImageNet \ubd84\ub958\uc5d0\uc11c \ud68d\uae30\uc801\uc778 \uc9c4\uc804\uc744 \uc774\ub8e8\uba70 \ub525 \ub7ec\ub2dd\uc744 \ub300\uc911\ud654\ud588\uc2b5\ub2c8\ub2e4.<\/li>\n\n\n\n<li><strong>\ub808\uc2a4\ub137<\/strong> (2015): \uc0ac\ub77c\uc9c0\ub294 \uacbd\uc0ac\ub3c4\ub97c \uc644\ud654\ud558\uae30 \uc704\ud574 \uc794\uc5ec \uc5f0\uacb0(\uc2a4\ud0b5 \uc5f0\uacb0)\uc744 \ub3c4\uc785\ud558\uc5ec 100\uac1c\uac00 \ub118\ub294 \ub808\uc774\uc5b4\uac00 \uc788\ub294 \ub124\ud2b8\uc6cc\ud06c\uc758 \ud559\uc2b5\uc744 \uac00\ub2a5\ud558\uac8c \ud588\uc2b5\ub2c8\ub2e4.<\/li>\n<\/ul>\n\n\n\n<p>CNN\uc740 \ud6a8\uc728\uc131\uacfc \uc9c0\uc5ed\uc801 \ud2b9\uc9d5 \ucd94\ucd9c\uc5d0 \ub6f0\uc5b4\ub098 \ube44\ub514\uc624 \ubd84\uc11d \ubc0f \ubaa8\ubc14\uc77c \ube44\uc804\uacfc \uac19\uc740 \uc2e4\uc2dc\uac04 \uc560\ud50c\ub9ac\ucf00\uc774\uc158\uc5d0 \uc774\uc0c1\uc801\uc785\ub2c8\ub2e4. \uadf8\ub7ec\ub098 \uc9c0\uc5ed\uc801 \uc218\uc6a9 \ud544\ub4dc\uc5d0 \uc758\uc874\ud558\uae30 \ub54c\ubb38\uc5d0 \uc7a5\uac70\ub9ac \uc885\uc18d\uc131\uc744 \ubaa8\ub378\ub9c1\ud558\ub294 \ub2a5\ub825\uc774 \uc81c\ud55c\ub418\uba70, \uc774 \uaca9\ucc28\ub294 \ubcc0\uc555\uae30\uc640 \uac19\uc740 \uc0c8\ub85c\uc6b4 \uc544\ud0a4\ud14d\ucc98\uc5d0\uc11c \ud574\uacb0\ub429\ub2c8\ub2e4. \uc774\ub7ec\ud55c \uc0c1\ud669\uc5d0\ub3c4 \ubd88\uad6c\ud558\uace0 CNN\uc740 \uacc4\uc0b0 \ud6a8\uc728\uc131, \ud574\uc11d \uac00\ub2a5\uc131, X\uc120\uc5d0\uc11c \uc9c8\ubcd1 \uc9c4\ub2e8\ubd80\ud130 \uc2a4\ub9c8\ud2b8\ud3f0\uc5d0\uc11c \uc5bc\uad74 \uc778\uc2dd\uc744 \uac00\ub2a5\ud558\uac8c \ud558\ub294 \ub370 \uc774\ub974\uae30\uae4c\uc9c0 \uc0b0\uc5c5 \uc804\ubc18\uc5d0 \uac78\uccd0 \uc785\uc99d\ub41c \uc131\uacf5\uc73c\ub85c \uc778\ud574 \uc5ec\uc804\ud788 \ub110\ub9ac \uc0ac\uc6a9\ub418\uace0 \uc788\uc2b5\ub2c8\ub2e4.<\/p>\n\n\n\n<figure class=\"wp-block-image size-large\"><img decoding=\"async\" width=\"1024\" height=\"769\" src=\"https:\/\/flypix.ai\/wp-content\/uploads\/2025\/02\/pexels-sai-m-870406214-30623336-1024x769.jpg\" alt=\"\" class=\"wp-image-173898\" srcset=\"https:\/\/flypix.ai\/wp-content\/uploads\/2025\/02\/pexels-sai-m-870406214-30623336-1024x769.jpg 1024w, https:\/\/flypix.ai\/wp-content\/uploads\/2025\/02\/pexels-sai-m-870406214-30623336-300x225.jpg 300w, https:\/\/flypix.ai\/wp-content\/uploads\/2025\/02\/pexels-sai-m-870406214-30623336-768x576.jpg 768w\" sizes=\"(max-width: 1024px) 100vw, 1024px\" \/><\/figure>\n\n\n\n<h2 class=\"wp-block-heading\">\ube44\uc804 \ud2b8\ub79c\uc2a4\ud3ec\uba38(ViT): \uc774\ubbf8\uc9c0 \uc774\ud574\uc758 \uc7ac\uc815\uc758<\/h2>\n\n\n\n<p>Vision Transformers(ViTs)\ub294 \ucef4\ud4e8\ud130 \ube44\uc804\uc758 \ud328\ub7ec\ub2e4\uc784 \uc804\ud658\uc744 \ub098\ud0c0\ub0b4\uba70, \uc6d0\ub798 \uc790\uc5f0\uc5b4 \ucc98\ub9ac(NLP)\ub97c \uc704\ud574 \uc124\uacc4\ub41c \ud2b8\ub79c\uc2a4\ud3ec\uba38 \uc544\ud0a4\ud14d\ucc98\ub97c \uc2dc\uac01 \ub370\uc774\ud130\uc5d0 \uc801\uc6a9\ud558\uc5ec CNN\uc758 \uc624\ub79c \uc9c0\ubc30\ub825\uc5d0 \ub3c4\uc804\ud569\ub2c8\ub2e4. 2020\ub144 Dosovitskiy \ub4f1\uc774 \ub3c4\uc785\ud55c ViTs\ub294 \ucda9\ubd84\ud788 \ud070 \ub370\uc774\ud130 \uc138\ud2b8\uc5d0\uc11c \ud559\uc2b5\ud560 \uacbd\uc6b0 \uc21c\uc218\ud55c \uc790\uae30 \uc8fc\uc758 \uba54\ucee4\ub2c8\uc998\uc774 \uc774\ubbf8\uc9c0 \ubd84\ub958 \uc791\uc5c5\uc5d0\uc11c CNN\uacfc \uacbd\uc7c1\ud558\uac70\ub098 \ub2a5\uac00\ud560 \uc218 \uc788\uc74c\uc744 \ubcf4\uc5ec\uc8fc\uc5c8\uc2b5\ub2c8\ub2e4. \uc774 \ud68d\uae30\uc801\uc778 \ubc1c\uacac\uc740 \uba38\uc2e0\uc774 \uc2dc\uac01 \uc815\ubcf4\ub97c \ucc98\ub9ac\ud558\ub294 \ubc29\uc2dd\uc744 \uc7ac\uc815\uc758\ud558\uc5ec \uc9c0\uc5ed\ud654\ub41c \ud2b9\uc9d5\ubcf4\ub2e4 \uae00\ub85c\ubc8c \ub9e5\ub77d\uc744 \uac15\uc870\ud569\ub2c8\ub2e4.<\/p>\n\n\n\n<p>ViT\ub294 \uc774\ubbf8\uc9c0\ub97c \ubb38\uc7a5\uc758 \ub2e8\uc5b4\uc640 \uc720\uc0ac\ud55c \ud1a0\ud070 \uc2dc\ud000\uc2a4\ub85c \ucc98\ub9ac\ud558\uc5ec \uc791\ub3d9\ud569\ub2c8\ub2e4. \uba3c\uc800 \uc785\ub825 \uc774\ubbf8\uc9c0\ub97c \uace0\uc815 \ud06c\uae30 \ud328\uce58(\uc608: 16\u00d716\ud53d\uc140)\ub85c \ub098\ub204\uace0 \uc774\ub97c \ubca1\ud130\ub85c \ud3c9\uba74\ud654\ud558\uc5ec \uc120\ud615\uc801\uc73c\ub85c \uc784\ubca0\ub529\ud569\ub2c8\ub2e4. \uadf8\ub7f0 \ub2e4\uc74c \uc774\ub7ec\ud55c \ud328\uce58 \uc784\ubca0\ub529\uc744 \uc704\uce58 \uc778\ucf54\ub529\uacfc \uacb0\ud569\ud558\uc5ec \uacf5\uac04 \uc815\ubcf4\ub97c \uc8fc\uc785\ud558\uc5ec \ud328\uce58 \uac04\uc758 \uae30\ud558\ud559\uc801 \uad00\uacc4\ub97c \uc720\uc9c0\ud569\ub2c8\ub2e4. \uc774\ub294 CNN\uc5d0 \uc5c6\ub294 \uc911\uc694\ud55c \ub2e8\uacc4\uc785\ub2c8\ub2e4. \uacb0\uacfc \uc2dc\ud000\uc2a4\ub294 \ud2b8\ub79c\uc2a4\ud3ec\uba38 \uc778\ucf54\ub354\uc5d0 \uc785\ub825\ub418\uace0, \uc5ec\uae30\uc11c \uc140\ud504 \uc5b4\ud150\uc158 \uba54\ucee4\ub2c8\uc998\uc774 \ubaa8\ub4e0 \ud328\uce58 \uac04\uc758 \uc0c1\ud638 \uc791\uc6a9\uc744 \ub3d9\uc801\uc73c\ub85c \uacc4\uc0b0\ud569\ub2c8\ub2e4. \ub85c\uceec \uc601\uc5ed\uc744 \ub3c5\ub9bd\uc801\uc73c\ub85c \ucc98\ub9ac\ud558\ub294 CNN\uacfc \ub2ec\ub9ac \uc140\ud504 \uc5b4\ud150\uc158\uc744 \ud1b5\ud574 ViT\ub294 \ubaa8\ub4e0 \ud328\uce58\uc758 \uad00\ub828\uc131\uc744 \ub2e4\ub978 \ubaa8\ub4e0 \ud328\uce58\uc640 \ube44\uad50\ud558\uc5ec \ud3c9\uac00\ud558\uc5ec \ubaa8\ub378\uc774 \uc911\uc694\ud55c \uc601\uc5ed(\uc608: \uc0c8 \ubd84\ub958 \uc791\uc5c5\uc758 \uc0c8 \ubd80\ub9ac)\uc744 \uc6b0\uc120 \uc21c\uc704\ub85c \uc9c0\uc815\ud558\ub294 \ub3d9\uc2dc\uc5d0 \uad00\ub828 \uc5c6\ub294 \ubc30\uacbd \ub178\uc774\uc988\ub97c \uc5b5\uc81c\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/p>\n\n\n\n<p>\ud2b8\ub79c\uc2a4\ud3ec\uba38 \uc778\ucf54\ub354\ub294 \ub2e4\uc911 \ud5e4\ub4dc \uc140\ud504 \uc5b4\ud150\uc158 \ubc0f \ud53c\ub4dc\ud3ec\uc6cc\ub4dc \uc2e0\uacbd\ub9dd\uc758 \uc5ec\ub7ec \uacc4\uce35\uc73c\ub85c \uad6c\uc131\ub418\uc5b4 \uc788\uc2b5\ub2c8\ub2e4. \uac01 \uc5b4\ud150\uc158 \ud5e4\ub4dc\ub294 \uace0\uc720\ud55c \ud328\ud134\uc744 \ud559\uc2b5\ud558\uc5ec \ub2e4\uc591\ud55c \uacf5\uac04 \uad00\uacc4\ub97c \ud3ec\ucc29\ud558\ub294 \ubc18\uba74, \uacc4\uce35 \uc815\uaddc\ud654 \ubc0f \uc794\uc5ec \uc5f0\uacb0\uc740 \ud6c8\ub828\uc744 \uc548\uc815\ud654\ud569\ub2c8\ub2e4. \uc774 \uc544\ud0a4\ud14d\ucc98\ub294 \uc7a5\uac70\ub9ac \uc885\uc18d\uc131\uc744 \ubaa8\ub378\ub9c1\ud558\ub294 \ub370 \ub6f0\uc5b4\ub098 ViT\uac00 \uc7a5\uba74 \ubd84\ud560\uc774\ub098 \uc138\ubd84\ud654\ub41c \ubd84\ub958(\uc608: \uac1c \ud488\uc885 \uad6c\ubd84)\uc640 \uac19\uc774 \uc804\uccb4\uc801\uc778 \uc774\ud574\uac00 \ud544\uc694\ud55c \uc791\uc5c5\uc5d0 \ud2b9\ud788 \ub2a5\uc219\ud558\uac8c \ub9cc\ub4ed\ub2c8\ub2e4.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">\uc8fc\uc694 \ubcc0\uc555\uae30 \ubaa8\ub378<\/h3>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>\ube44\uc804 \ud2b8\ub79c\uc2a4\ud3ec\uba38(ViT)<\/strong>: \uc21c\uc218 \ubcc0\uc555\uae30 \uc544\ud0a4\ud14d\ucc98\ub97c \uc0ac\uc6a9\ud558\uc5ec ImageNet\uc5d0\uc11c 88.36% \uc815\ud655\ub3c4\ub97c \ub2ec\uc131\ud55c \uae30\ubcf8 \ubaa8\ub378\uc785\ub2c8\ub2e4.<\/li>\n\n\n\n<li><strong>DeiT(\ub370\uc774\ud130 \ud6a8\uc728\uc801 \uc774\ubbf8\uc9c0 \ubcc0\ud658\uae30)<\/strong>: \uc9c0\uc2dd \uc99d\ub958\ub97c \ub3c4\uc785\ud558\uc5ec ViT\uac00 \uad50\uc0ac \ubaa8\ub378(\uc608: CNN)\uc744 \ubaa8\ubc29\ud558\uc5ec \ub354 \uc791\uc740 \ub370\uc774\ud130 \uc138\ud2b8\uc5d0\uc11c \ud6a8\uacfc\uc801\uc73c\ub85c \ud559\uc2b5\ud560 \uc218 \uc788\uac8c \ub418\uc5c8\uc2b5\ub2c8\ub2e4.<\/li>\n\n\n\n<li><strong>\uc2a4\uc708 \ud2b8\ub79c\uc2a4\ud3ec\uba38<\/strong>: \uacc4\uc0b0 \ubcf5\uc7a1\uc131\uc744 \uc904\uc774\uace0 \uace0\ud574\uc0c1\ub3c4 \uc774\ubbf8\uc9c0\uc5d0 \ub300\ud55c \ud655\uc7a5\uc131\uc744 \ub192\uc774\uae30 \uc704\ud574 \uacc4\uce35\uc801 \uc774\ub3d9 \ucc3d\uc744 \ucc44\ud0dd\ud588\uc2b5\ub2c8\ub2e4.<\/li>\n<\/ul>\n\n\n\n<p>ViT\ub294 \uaddc\ubaa8\uc5d0 \ub530\ub77c \ubc88\ucc3d\ud569\ub2c8\ub2e4. \ub354 \ud070 \ub370\uc774\ud130 \uc138\ud2b8(\uc608: JFT-300M)\uc640 \ubaa8\ub378\uc740 \uc9c0\uc18d\uc801\uc73c\ub85c \ub354 \ub098\uc740 \uc131\ub2a5\uc744 \uc81c\uacf5\ud558\uba70, \uac00\ub824\uc9c4 \ubb3c\uccb4 \uac10\uc9c0 \ub610\ub294 \ucd94\uc0c1 \ubbf8\uc220 \ud574\uc11d\uacfc \uac19\uc740 \uc804\uc5ed\uc801 \ucd94\ub860\uc774 \ud544\uc694\ud55c \uc2dc\ub098\ub9ac\uc624\uc5d0\uc11c CNN\ubcf4\ub2e4 \uc131\ub2a5\uc774 \ub6f0\uc5b4\ub0a9\ub2c8\ub2e4. \uadf8\ub7ec\ub098 \uacc4\uc0b0 \uc694\uad6c \uc0ac\ud56d\uc740 \uc5ec\uc804\ud788 \uc7a5\uc560\ubb3c\uc785\ub2c8\ub2e4. ViT\ub97c \ud6c8\ub828\ud558\ub824\uba74 \uc885\uc885 \ubc29\ub300\ud55c GPU \ud074\ub7ec\uc2a4\ud130\uc640 \uba87 \uc8fc\uc5d0 \uac78\uce5c \ud6c8\ub828 \uc2dc\uac04\uc774 \ud544\uc694\ud558\uc5ec \uc18c\uaddc\ubaa8 \uc870\uc9c1\uc758 \uc811\uadfc\uc131\uc774 \uc81c\ud55c\ub429\ub2c8\ub2e4. \ub610\ud55c ViT\ub294 CNN\uc758 \ud0c0\uace0\ub09c \ubcc0\ud658 \ubd88\ubcc0\uc131\uc774 \ubd80\uc871\ud558\uc5ec \uacac\uace0\uc131\uc744 \uc704\ud574 \uba85\uc2dc\uc801\uc73c\ub85c \ud6c8\ub828\ud558\uc9c0 \uc54a\ub294 \ud55c \uac1d\uccb4 \uc704\uce58\uc758 \ubcc0\ud654\uc5d0 \ub354 \ubbfc\uac10\ud569\ub2c8\ub2e4.<\/p>\n\n\n\n<p>\uc774\ub7ec\ud55c \uacfc\uc81c\uc5d0\ub3c4 \ubd88\uad6c\ud558\uace0 ViT\ub294 \uba40\ud2f0\ubaa8\ub2ec AI \uc2dc\uc2a4\ud15c\uc758 \ud601\uc2e0\uc744 \ucd09\uc9c4\ud588\uc2b5\ub2c8\ub2e4. CLIP(Contrastive Language\u2013Image Pretraining)\uc640 \uac19\uc740 \ubaa8\ub378\uc740 ViT\ub97c \ud65c\uc6a9\ud558\uc5ec \uc2dc\uac01\uc801 \ubc0f \ud14d\uc2a4\ud2b8 \ub370\uc774\ud130\ub97c \uc815\ub82c\ud558\uc5ec \uc81c\ub85c\uc0f7 \uc774\ubbf8\uc9c0 \ubd84\ub958\ub97c \uac00\ub2a5\ud558\uac8c \ud569\ub2c8\ub2e4. \uc5f0\uad6c\uac00 \uac00\uc9c0\uce58\uae30, \uc591\uc790\ud654, \ud558\uc774\ube0c\ub9ac\ub4dc \uc544\ud0a4\ud14d\ucc98\uc640 \uac19\uc740 \uae30\uc220\uc744 \ud1b5\ud574 \ud6a8\uc728\uc131\uc5d0 \uc9d1\uc911\ud568\uc5d0 \ub530\ub77c ViT\ub294 \uc99d\uac15 \ud604\uc2e4\uc5d0\uc11c \uc704\uc131 \uc774\ubbf8\uc9c0 \ubd84\uc11d\uc5d0 \uc774\ub974\uae30\uae4c\uc9c0 \uc2e4\uc2dc\uac04 \uc560\ud50c\ub9ac\ucf00\uc774\uc158\uc5d0 \ub354\uc6b1 \uc2e4\uc6a9\uc801\uc774 \ub420 \uc900\ube44\uac00 \ub418\uc5c8\uc2b5\ub2c8\ub2e4.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">\ud558\uc774\ube0c\ub9ac\ub4dc \ubaa8\ub378: \ub450 \uc138\uacc4\uc758 \uc7a5\uc810\uc744 \ud569\uce5c \uac83<\/h2>\n\n\n\n<p>\ud558\uc774\ube0c\ub9ac\ub4dc \ubaa8\ub378\uc740 \ub450 \uc544\ud0a4\ud14d\ucc98\uc758 \uc0c1\ud638 \ubcf4\uc644\uc801\uc778 \uac15\uc810\uc744 \ud65c\uc6a9\ud558\ub3c4\ub85d \uc124\uacc4\ub41c \ud569\uc131\uacf1 \uc2e0\uacbd\ub9dd(CNN)\uacfc \ube44\uc804 \ud2b8\ub79c\uc2a4\ud3ec\uba38(ViT)\uc758 \uc804\ub7b5\uc801 \uc735\ud569\uc744 \ub098\ud0c0\ub0c5\ub2c8\ub2e4. CNN\uc740 \ud569\uc131\uacf1 \uc5f0\uc0b0\uc744 \ud1b5\ud574 \uad6d\uc18c\ud654\ub41c \ud2b9\uc9d5\uc744 \ucd94\ucd9c\ud558\ub294 \ub370 \ub6f0\uc5b4\ub09c \ubc18\uba74, \ud2b8\ub79c\uc2a4\ud3ec\uba38\ub294 \uc790\uccb4 \uc8fc\uc758\ub97c \ud65c\uc6a9\ud558\uc5ec \uae00\ub85c\ubc8c \uad00\uacc4\ub97c \ubaa8\ub378\ub9c1\ud569\ub2c8\ub2e4. \ud558\uc774\ube0c\ub9ac\ub4dc \uc544\ud0a4\ud14d\ucc98\ub294 \ud6a8\uc728\uc131, \uc815\ud655\uc131, \uc801\uc751\uc131\uc758 \uade0\ud615\uc744 \ubaa9\ud45c\ub85c \ud558\uba70, \ub9ac\uc18c\uc2a4\uac00 \uc81c\ud55c\ub41c \ubaa8\ubc14\uc77c \uc571\uc5d0\uc11c \ub300\uaddc\ubaa8 \uc0b0\uc5c5 \uc2dc\uc2a4\ud15c\uc5d0 \uc774\ub974\uae30\uae4c\uc9c0 \ub2e4\uc591\ud55c \uc791\uc5c5\uc5d0 \ub2e4\uc7ac\ub2e4\ub2a5\ud558\uac8c \uc0ac\uc6a9\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/p>\n\n\n\n<p>\ud558\uc774\ube0c\ub9ac\ub4dc \ubaa8\ub378\uc740 \ud575\uc2ec\uc801\uc73c\ub85c \uc885\uc885 \ucd08\uae30 \ub808\uc774\uc5b4\uc5d0\uc11c CNN\uc744 \uc0ac\uc6a9\ud558\uc5ec \uc800\uc218\uc900 \uc2dc\uac01\uc801 \ud328\ud134(\uc608: \ubaa8\uc11c\ub9ac, \ud14d\uc2a4\ucc98)\uc744 \ud6a8\uc728\uc801\uc73c\ub85c \ucc98\ub9ac\ud569\ub2c8\ub2e4. \uc774\ub7ec\ud55c \ucd08\uae30 \ud569\uc131\uacf1 \ub2e8\uacc4\ub294 \uacf5\uac04 \ud574\uc0c1\ub3c4\uc640 \uacc4\uc0b0 \ubd80\ud558\ub97c \uc904\uc5ec &quot;\ud2b9\uc9d5 \uc555\ucd95\uae30&quot; \uc5ed\ud560\uc744 \ud569\ub2c8\ub2e4. \uadf8\ub7f0 \ub2e4\uc74c \ucd94\ucd9c\ub41c \ud2b9\uc9d5\uc740 \ubcc0\ud658\uae30 \ube14\ub85d\uc73c\ub85c \uc804\ub2ec\ub418\uace0, \uc774 \ube14\ub85d\uc740 \uc790\uae30 \uc8fc\uc758\ub97c \uc801\uc6a9\ud558\uc5ec \uc7a5\uac70\ub9ac \uc885\uc18d\uc131\uacfc \ub9e5\ub77d\uc801 \uad00\uacc4\ub97c \ud3ec\ucc29\ud569\ub2c8\ub2e4. \uc774\ub7ec\ud55c \uacc4\uce35\uc801 \uc811\uadfc \ubc29\uc2dd\uc740 \uc778\uac04\uc758 \uc2dc\uac01\uc744 \ubaa8\ubc29\ud558\uc5ec \ub85c\uceec \uc138\ubd80 \uc815\ubcf4\uac00 \ub354 \uad11\ubc94\uc704\ud55c \uc7a5\uba74 \uc774\ud574\uc5d0 \uc815\ubcf4\ub97c \uc81c\uacf5\ud569\ub2c8\ub2e4. \uc608\ub97c \ub4e4\uc5b4 \uc790\uc728 \uc8fc\ud589\uc5d0\uc11c \ud558\uc774\ube0c\ub9ac\ub4dc \ubaa8\ub378\uc740 CNN\uc744 \uc0ac\uc6a9\ud558\uc5ec \ucc28\uc120 \ud45c\uc2dc\ub97c \uac10\uc9c0\ud558\uace0 \ubcc0\ud658\uae30\ub97c \uc0ac\uc6a9\ud558\uc5ec \uc804\uccb4 \ud504\ub808\uc784\uc5d0\uc11c \uad50\ud1b5 \ud750\ub984\uc744 \ubd84\uc11d\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">\uc8fc\uc694 \ud558\uc774\ube0c\ub9ac\ub4dc \uc544\ud0a4\ud14d\ucc98<\/h3>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>\ucf54\ud2b8\ub137<\/strong>: \uae4a\uc774\ubcc4 \ud569\uc131\uacf1\uc744 \uc0ac\uc6a9\ud558\uc5ec \uc790\uae30 \uc8fc\uc758\ub97c \uc801\uc6a9\ud558\uae30 \uc804\uc5d0 \uacf5\uac04\uc801 \ucd94\ub860\uc744 \uac15\ud654\ud558\ub294 \ud569\uc131\uacf1 \uacc4\uce35\uacfc \ubcc0\uc555\uae30 \ube14\ub85d\uc744 \uacb0\ud569\ud569\ub2c8\ub2e4. \uc774\ub97c \ud1b5\ud574 \uc804\uc5ed \uc778\uc2dd\uc744 \uc720\uc9c0\ud558\uba74\uc11c \ud68c\uc804 \ubc0f \ud06c\uae30 \uc870\uc815\uc5d0 \ub300\ud55c \uacac\uace0\uc131\uc774 \ud5a5\uc0c1\ub429\ub2c8\ub2e4.<\/li>\n\n\n\n<li><strong>\ubaa8\ubc14\uc77cViT<\/strong>: \uc5e3\uc9c0 \ub514\ubc14\uc774\uc2a4\uc6a9\uc73c\ub85c \uc124\uacc4\ub418\uc5c8\uc73c\uba70, \uac00\ubcbc\uc6b4 CNN \ube14\ub85d\uc744 \uc0ac\uc6a9\ud558\uc5ec &quot;\uc2dc\uac01\uc801 \ud1a0\ud070&quot;\uc744 \uc0dd\uc131\ud558\uace0, \uc774\ub294 \uace0\uc218\uc900 \ucd94\ub860\uc744 \uc704\ud574 \ud2b8\ub79c\uc2a4\ud3ec\uba38\uc5d0\uc11c \ucc98\ub9ac\ub429\ub2c8\ub2e4. \uc774\ub97c \ud1b5\ud574 \uc815\ud655\ub3c4\ub97c \ud76c\uc0dd\ud558\uc9c0 \uc54a\uace0\ub3c4 \uc2a4\ub9c8\ud2b8\ud3f0 \ud638\ud658 \ub300\uae30 \uc2dc\uac04\uc744 \ub2ec\uc131\ud569\ub2c8\ub2e4.<\/li>\n\n\n\n<li><strong>\ucee8\ube0c\ub125\uc2a4\ud2b8<\/strong>: \ub354 \ud070 \ucee4\ub110 \ud06c\uae30(7\u00d77), LayerNorm, \uc5ed \ubcd1\ubaa9 \uacc4\uce35\uacfc \uac19\uc740 \ubcc0\uc555\uae30 \uc720\uc0ac \uad6c\uc131 \uc694\uc18c\ub97c \ud1b5\ud569\ud558\uc5ec CNN\uc744 \ud604\ub300\ud654\ud558\uace0 \uc21c\uc218\ud55c \ubcc0\uc555\uae30\ub85c \uc131\ub2a5 \uaca9\ucc28\ub97c \uba54\uc6c1\ub2c8\ub2e4.<\/li>\n<\/ul>\n\n\n\n<p>\ud558\uc774\ube0c\ub9ac\ub4dc \ubaa8\ub378\uc740 \ub370\uc774\ud130\uac00 \uc81c\ud55c\uc801\uc774\uac70\ub098 \uacc4\uc0b0 \ub9ac\uc18c\uc2a4\uac00 \uc81c\uc57d\ub41c \uc2dc\ub098\ub9ac\uc624\uc5d0\uc11c \uc131\uacf5\ud569\ub2c8\ub2e4. CNN\uc758 \uadc0\ub0a9\uc801 \ud3b8\ud5a5(\uc608: \ubcc0\ud658 \ubd88\ubcc0\uc131 \ubc0f \uc9c0\uc5ed\uc131)\uc744 \uc720\uc9c0\ud568\uc73c\ub85c\uc368 \ubc29\ub300\ud55c \ub370\uc774\ud130 \uc138\ud2b8\uc5d0 \ud06c\uac8c \uc758\uc874\ud558\ub294 \uc21c\uc218 \ubcc0\ud658\uae30\uc5d0 \ube44\ud574 \uacfc\uc801\ud569\uc744 \uc904\uc785\ub2c8\ub2e4. \ub3d9\uc2dc\uc5d0, \ubcc0\ud658\uae30 \uad6c\uc131 \uc694\uc18c\ub294 \uc138\ubc00\ud55c \ubd84\ub958(\uc608: \ud751\uc0c9\uc885\uacfc \uc591\uc131 \ud53c\ubd80 \ubcd1\ubcc0 \uad6c\ubcc4) \ub610\ub294 \ud30c\ub178\ub77c\ub9c8 \ubd84\ud560(\uc7a5\uba74\uc758 \ubaa8\ub4e0 \ud53d\uc140\uc5d0 \ub808\uc774\ube14 \uc9c0\uc815)\uacfc \uac19\uc740 \ubbf8\ubb18\ud55c \uc791\uc5c5\uc744 \uac00\ub2a5\ud558\uac8c \ud569\ub2c8\ub2e4.<\/p>\n\n\n\n<p>\uadf8\ub7ec\ub098 \ud558\uc774\ube0c\ub9ac\ub4dc \ubaa8\ub378\uc744 \uc124\uacc4\ud558\ub824\uba74 \uc2e0\uc911\ud55c \uade0\ud615\uc774 \ud544\uc694\ud569\ub2c8\ub2e4. \ud569\uc131\uacf1 \uacc4\uce35\uc744 \uc9c0\ub098\uce58\uac8c \uac15\uc870\ud558\uba74 \uc140\ud504 \uc5b4\ud150\uc158\uc758 \uc774\uc810\uc774 \ud76c\uc11d\ub420 \uc218 \uc788\uace0, \uacfc\ub3c4\ud55c \ubcc0\ud658\uae30 \ube14\ub85d\uc740 \uacc4\uc0b0 \ube44\uc6a9\uc744 \ubd80\ud480\ub9b4 \uc218 \uc788\uc2b5\ub2c8\ub2e4. \ucd5c\uadfc\uc758 \ubc1c\uc804\uc740 \ubaa8\ub378\uc774 \uc785\ub825 \ubcf5\uc7a1\ub3c4\uc5d0 \ub530\ub77c CNN\uacfc \ubcc0\ud658\uae30 \uac04\uc5d0 \ub9ac\uc18c\uc2a4\ub97c \uc790\ub3d9\uc73c\ub85c \ud560\ub2f9\ud558\ub294 \ub3d9\uc801 \uc544\ud0a4\ud14d\ucc98\ub97c \ud1b5\ud574 \uc774\ub7ec\ud55c \uacfc\uc81c\ub97c \ud574\uacb0\ud569\ub2c8\ub2e4. \uc608\ub97c \ub4e4\uc5b4, \uc791\ubb3c\uc744 \uac80\uc0ac\ud558\ub294 \ub4dc\ub860\uc740 \uace0\ud574\uc0c1\ub3c4 \uc78e \ubd84\uc11d\uc5d0 \ub354 \ub9ce\uc740 CNN \uacc4\uce35\uc744 \uc0ac\uc6a9\ud558\uace0 \ub300\uaddc\ubaa8 \uad00\uac1c \ubb38\uc81c\ub97c \uc2dd\ubcc4\ud560 \ub54c\ub294 \ubcc0\ud658\uae30\ub85c \uc804\ud658\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/p>\n\n\n\n<p>\uc0b0\uc5c5\uacc4\uc5d0\uc11c\ub294 \ud558\uc774\ube0c\ub9ac\ub4dc \ubaa8\ub378\uc774 \uc778\uae30\ub97c \uc5bb\uace0 \uc788\uc2b5\ub2c8\ub2e4. \uc758\ub8cc \uc601\uc0c1 \ud50c\ub7ab\ud3fc\uc740 \uc774\ub97c \uc0ac\uc6a9\ud558\uc5ec \uad6d\uc18c\uc801 \uc885\uc591 \ud0d0\uc9c0(CNN \uac15\ub3c4)\uc640 \uc804\uccb4\uc801\uc778 \ud658\uc790 \uc2a4\uce94 \ubd84\uc11d(\ubcc0\ud658\uae30 \uac15\ub3c4)\uc744 \uacb0\ud569\ud569\ub2c8\ub2e4. \ub9c8\ucc2c\uac00\uc9c0\ub85c \uc804\uc790\uc0c1\uac70\ub798 \uac70\ub300 \uae30\uc5c5\uc740 \uc2dc\uac01\uc801 \uac80\uc0c9\uc744 \uc704\ud55c \ud558\uc774\ube0c\ub9ac\ub4dc \uc2dc\uc2a4\ud15c\uc744 \uad6c\ucd95\ud558\ub294\ub370, \uc5ec\uae30\uc11c CNN\uc740 \uc81c\ud488 \uc9c8\uac10\uc744 \uc2dd\ubcc4\ud558\uace0 \ubcc0\ud658\uae30\ub294 \uc0ac\uc6a9\uc790 \uc758\ub3c4\ub97c \ub9e5\ub77d\ud654\ud569\ub2c8\ub2e4.<\/p>\n\n\n\n<p>\uc55e\uc73c\ub85c \uc5f0\uad6c\ub294 CNN-\ubcc0\ud658\uae30 \ube44\uc728\uc744 \ucd5c\uc801\ud654\ud558\uae30 \uc704\ud55c \uc790\ub3d9\ud654\ub41c \uc544\ud0a4\ud14d\ucc98 \uac80\uc0c9\uacfc \uc2dc\uac01\uc744 \uc5b8\uc5b4 \ub610\ub294 \uc13c\uc11c \ub370\uc774\ud130\uc640 \ud1b5\ud569\ud558\ub294 \ud06c\ub85c\uc2a4 \ubaa8\ub2ec \ud558\uc774\ube0c\ub9ac\ub4dc\uc5d0 \ucd08\uc810\uc744 \ub9de\ucda5\ub2c8\ub2e4. \uc774\ub7ec\ud55c \ubaa8\ub378\uc774 \uc9c4\ud654\ud568\uc5d0 \ub530\ub77c \uace0\uae09 \ube44\uc804 AI\ub97c \ubbfc\uc8fc\ud654\ud558\uc5ec \uc18c\uaddc\ubaa8 \uae30\uc5c5\uc774 \uc5c4\uccad\ub09c \ube44\uc6a9 \uc5c6\uc774 \ucd5c\ucca8\ub2e8 \uae30\ub2a5\uc744 \ud65c\uc6a9\ud560 \uc218 \uc788\ub3c4\ub85d \ud560 \uac83\uc744 \uc57d\uc18d\ud569\ub2c8\ub2e4.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">\uc774\ubbf8\uc9c0 \uc778\uc2dd \ubaa8\ub378\uc758 \uc2e4\uc81c \uc138\uacc4 \uc751\uc6a9 \ud504\ub85c\uadf8\ub7a8<\/h2>\n\n\n\n<p>\uc774\ubbf8\uc9c0 \uc778\uc2dd \ubaa8\ub378\uc740 \ud559\ubb38\uc801 \uc5f0\uad6c\ub97c \ub118\uc5b4 \uc0b0\uc5c5 \uc804\ubc18\uc5d0 \uac78\uccd0 \ud575\uc2ec \ub3c4\uad6c\uac00 \ub418\uc5b4 \ud6a8\uc728\uc131, \uc548\uc804\uc131, \ud601\uc2e0\uc744 \uc8fc\ub3c4\ud558\uace0 \uc788\uc2b5\ub2c8\ub2e4. \uc778\uac04\uacfc \uac19\uc740 \uc815\ubc00\ub3c4\ub85c \uc2dc\uac01\uc801 \ub370\uc774\ud130\ub97c \ud574\uc11d\ud558\uace0 \uc885\uc885 \uc774\ub97c \ub2a5\uac00\ud568\uc73c\ub85c\uc368 \uc774\ub7ec\ud55c \uae30\uc220\uc740 \uae30\uc5c5\uc758 \uc6b4\uc601 \ubc29\uc2dd, \uc758\ub8cc \uc11c\ube44\uc2a4 \uc81c\uacf5 \ubc29\uc2dd, \uc138\uc0c1\uacfc \uc0c1\ud638 \uc791\uc6a9\ud558\ub294 \ubc29\uc2dd\uc744 \uc7ac\ud3b8\ud558\uace0 \uc788\uc2b5\ub2c8\ub2e4.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">\uc0b0\uc5c5 \uc751\uc6a9 \ud504\ub85c\uadf8\ub7a8<\/h3>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>\ud5ec\uc2a4\ucf00\uc5b4<\/strong>: CNN\uacfc \ud2b8\ub79c\uc2a4\ud3ec\uba38\ub294 X\uc120, MRI, CT \uc2a4\uce94\uc744 \ubd84\uc11d\ud558\uc5ec \uc885\uc591, \uace8\uc808 \ub610\ub294 \ub2f9\ub1e8\uc131 \ub9dd\ub9c9\uc99d\uacfc \uac19\uc740 \uc9c8\ubcd1\uc758 \ucd08\uae30 \uc9d5\ud6c4\ub97c \uac10\uc9c0\ud569\ub2c8\ub2e4. \uc608\ub97c \ub4e4\uc5b4, Google\uc758 DeepMind\ub294 \uc720\ubc29 \uc870\uc601\uc220\uc5d0\uc11c \uc720\ubc29\uc554\uc744 \ubc1c\uacac\ud558\ub294 \ub370 \uc788\uc5b4 \ubc29\uc0ac\uc120\uacfc \uc758\uc0ac\ubcf4\ub2e4 \uc6b0\uc218\ud55c AI \uc2dc\uc2a4\ud15c\uc744 \uac1c\ubc1c\ud588\uc2b5\ub2c8\ub2e4.<\/li>\n\n\n\n<li><strong>\uc790\uc728 \uc8fc\ud589\ucc28<\/strong>: \ud14c\uc2ac\ub77c\uc758 \uc624\ud1a0\ud30c\uc77c\ub7ff\uacfc \uc6e8\uc774\ubaa8\uc758 \uc790\uc728\uc8fc\ud589 \uc790\ub3d9\ucc28\ub294 \uc2e4\uc2dc\uac04 \uac1d\uccb4 \uac10\uc9c0(\ubcf4\ud589\uc790, \ucc28\ub7c9)\ub97c \uc704\ud574 CNN\uc744 \uc0ac\uc6a9\ud558\uace0, \ubcf5\uc7a1\ud55c \uad50\ud1b5 \ud328\ud134\uc744 \uc774\ud574\ud558\uc5ec \uacbd\ub85c \uacc4\ud68d\uc744 \uc704\ud55c \ubcc0\ud658\uae30\ub97c \uc0ac\uc6a9\ud569\ub2c8\ub2e4.<\/li>\n\n\n\n<li><strong>\uc18c\ub9e4<\/strong>: Amazon\uc758 &quot;Just Walk Out&quot; \uae30\uc220\uc740 \ucc9c\uc7a5\uc5d0 \uc7a5\ucc29\ub41c \uce74\uba54\ub77c\uc640 CNN\uc744 \uc0ac\uc6a9\ud558\uc5ec \uace0\uac1d\uc774 \ud53d\uc5c5\ud55c \ud488\ubaa9\uc744 \ucd94\uc801\ud558\uc5ec \uacc4\uc0b0\uc6d0 \uc5c6\uc774 \uc1fc\ud551\ud560 \uc218 \uc788\ub3c4\ub85d \ud569\ub2c8\ub2e4. \ub9c8\ucc2c\uac00\uc9c0\ub85c Walmart\ub294 \uc120\ubc18 \uac10\uc0ac\ub97c \uc704\ud574 \uc774\ubbf8\uc9c0 \uc778\uc2dd\uc744 \uc0ac\uc6a9\ud558\uc5ec \uc7ac\uace0 \uc815\ud655\uc131\uc744 \ubcf4\uc7a5\ud569\ub2c8\ub2e4.<\/li>\n\n\n\n<li><strong>\ub18d\uc5c5<\/strong>: Blue River Technology\uc640 \uac19\uc740 \uc2a4\ud0c0\ud2b8\uc5c5\uc740 \ube44\uc804 \ubaa8\ub378\uc744 \ud0d1\uc7ac\ud55c \ub4dc\ub860\uc744 \ubc30\uce58\ud558\uc5ec \uc791\ubb3c \uac74\uac15 \uc0c1\ud0dc\ub97c \ubaa8\ub2c8\ud130\ub9c1\ud558\uace0, \ud574\ucda9\uc744 \uc2dd\ubcc4\ud558\uace0, \uc0b4\ucda9\uc81c \uc0ac\uc6a9\uc744 \ucd5c\uc801\ud654\ud568\uc73c\ub85c\uc368 \uc218\ud655\ub7c9\uc744 \ub298\ub9ac\uace0 \ud658\uacbd \uc601\ud5a5\uc744 \uc904\uc785\ub2c8\ub2e4.<\/li>\n<\/ul>\n\n\n\n<p>\uc774\ub7ec\ud55c \ubd84\uc57c\ub97c \ub118\uc5b4, \uc774\ubbf8\uc9c0 \uc778\uc2dd\uc740 \uacf5\ud56d\uacfc \uc2a4\ub9c8\ud2b8\ud3f0\uc758 \uc5bc\uad74 \uc778\uc2dd \uc2dc\uc2a4\ud15c(\uc608: Apple\uc758 Face ID)\uc5d0 \ub3d9\ub825\uc744 \uc81c\uacf5\ud558\uc5ec \uc0dd\uccb4 \uc778\uc99d\uc744 \ud1b5\ud574 \ubcf4\uc548\uc744 \uac15\ud654\ud569\ub2c8\ub2e4. \uc81c\uc870\uc5d0\uc11c \ube44\uc804 \ubaa8\ub378\uc740 \uc870\ub9bd \ub77c\uc778\uc758 \uacb0\ud568\uc744 \uac80\uc0ac\ud558\uc5ec \ub0ad\ube44\ub97c \uc904\uc785\ub2c8\ub2e4. Siemens\ub294 AI \uae30\ubc18 \uce74\uba54\ub77c\ub97c \uc0ac\uc6a9\ud558\uc5ec \ud130\ube48 \ube14\ub808\uc774\ub4dc\uc758 \ubbf8\uc138\ud55c \uacb0\ud568\uc744 \uac10\uc9c0\ud569\ub2c8\ub2e4. \uc5d4\ud130\ud14c\uc778\uba3c\ud2b8 \uc0b0\uc5c5\uc740 \uc774\ub7ec\ud55c \ub3c4\uad6c\ub97c \uc0ac\uc6a9\ud558\uc5ec \ucf58\ud150\uce20 \uc870\uc815(\uc608: YouTube\uc758 \uc790\ub3d9 \ube44\ub514\uc624 \ud544\ud130\ub9c1)\uacfc \uc5bc\uad74 \ud2b9\uc9d5\uc744 \uc2e4\uc2dc\uac04\uc73c\ub85c \ub9e4\ud551\ud558\ub294 Snapchat\uc758 AR \ub80c\uc988\uc640 \uac19\uc740 \ubab0\uc785\ud615 \uacbd\ud5d8\uc744 \uc81c\uacf5\ud569\ub2c8\ub2e4.<\/p>\n\n\n\n<p>\ub5a0\uc624\ub974\ub294 \uc560\ud50c\ub9ac\ucf00\uc774\uc158\ub3c4 \ub9c8\ucc2c\uac00\uc9c0\ub85c \ud601\uc2e0\uc801\uc785\ub2c8\ub2e4. \ud658\uacbd \ubcf4\ud638\uc5d0\uc11c \uc774\ubbf8\uc9c0 \uc778\uc2dd\uc740 \uc678\ub534 \uc232\uc758 \uce74\uba54\ub77c \ud2b8\ub7a9\uc744 \ud1b5\ud574 \uba78\uc885 \uc704\uae30\uc5d0 \ucc98\ud55c \uc885\uc744 \ucd94\uc801\ud558\ub294 \ub370 \ub3c4\uc6c0\uc774 \ub429\ub2c8\ub2e4. \uc7ac\ub09c \ubc1c\uc0dd \uc2dc \ube44\uc804 \ubaa8\ub378\uc774 \uc7a5\ucc29\ub41c \ub4dc\ub860\uc740 \ud56d\uacf5 \uc774\ubbf8\uc9c0\ub85c \uc778\ud55c \ud53c\ud574\ub97c \ud3c9\uac00\ud558\uc5ec \uad6c\uc870 \ud65c\ub3d9\uc744 \uac00\uc18d\ud654\ud569\ub2c8\ub2e4. \uc2ec\uc9c0\uc5b4 \uc608\uc220\uacfc \ubb38\ud654\ub3c4 \ud61c\ud0dd\uc744 \ubc1b\uc2b5\ub2c8\ub2e4. \ubc15\ubb3c\uad00\uc740 AI\ub97c \uc0ac\uc6a9\ud558\uc5ec \uadf8\ub9bc\uc744 \uc778\uc99d\ud558\uac70\ub098 \ud30c\ud3b8\uc5d0\uc11c \uc190\uc0c1\ub41c \uc720\ubb3c\uc744 \uc7ac\uad6c\uc131\ud569\ub2c8\ub2e4.<\/p>\n\n\n\n<p>\uc2a4\ub9c8\ud2b8\ud3f0 \ubc0f IoT \uc13c\uc11c\uc640 \uac19\uc740 \uae30\uae30\uc5d0 \uac00\ubcbc\uc6b4 \ubaa8\ub378\uc744 \ubc30\uce58\ud558\ub294 \uc5e3\uc9c0 AI\uc758 \ubd80\uc0c1\uc740 \uc811\uadfc\uc131\uc744 \ud655\ub300\ud588\uc2b5\ub2c8\ub2e4. \uc608\ub97c \ub4e4\uc5b4 \uc778\ub3c4 \ub18d\ucd0c\uc758 \ub18d\ubd80\ub4e4\uc740 CNN \uae30\ubc18 \ubaa8\ub378\uc774 \uc788\ub294 \ubaa8\ubc14\uc77c \uc571\uc744 \uc0ac\uc6a9\ud558\uc5ec \uc2a4\ub9c8\ud2b8\ud3f0 \uc0ac\uc9c4\uc5d0\uc11c \uc791\ubb3c \uc9c8\ubcd1\uc744 \uc9c4\ub2e8\ud569\ub2c8\ub2e4. \ud55c\ud3b8, \uc2a4\ub9c8\ud2b8 \uc2dc\ud2f0\ub294 \uad50\ud1b5 \uad00\ub9ac\ub97c \uc704\ud55c \ube44\uc804 \uc2dc\uc2a4\ud15c\uc744 \ud1b5\ud569\ud558\uc5ec \ubcc0\uc555\uae30\ub97c \uc0ac\uc6a9\ud558\uc5ec \ub77c\uc774\ube0c \uce74\uba54\ub77c \ud53c\ub4dc\ub97c \ubd84\uc11d\ud558\uc5ec \ud63c\uc7a1\uc744 \uc608\uce21\ud569\ub2c8\ub2e4.<\/p>\n\n\n\n<p>\uadf8\ub7ec\ub098 \uc774\ub7ec\ud55c \uae30\uc220\uc758 \ucc44\ud0dd\uc740 \uc724\ub9ac\uc801 \ubb38\uc81c\ub97c \uc81c\uae30\ud569\ub2c8\ub2e4. \uac10\uc2dc\uc5d0 \uc5bc\uad74 \uc778\uc2dd\uc744 \uc0ac\uc6a9\ud558\uba74 \uac1c\uc778 \uc815\ubcf4 \ubcf4\ud638 \ub17c\uc7c1\uc774 \uc77c\uc5b4\ub098\uace0, \ud6c8\ub828 \ub370\uc774\ud130\uc758 \ud3b8\ud5a5\uc740 \uc758\ud559\uc801 \uc9c4\ub2e8\uc758 \ubd88\uade0\ud615\uc73c\ub85c \uc774\uc5b4\uc9c8 \uc218 \uc788\uc2b5\ub2c8\ub2e4. \uc774\ub7ec\ud55c \uacfc\uc81c\ub97c \ud574\uacb0\ud558\ub824\uba74 \ud22c\uba85\ud55c AI \uac70\ubc84\ub10c\uc2a4\uc640 \ub2e4\uc591\ud55c \ub370\uc774\ud130 \uc138\ud2b8\uac00 \ud544\uc694\ud569\ub2c8\ub2e4. \uc774\ub294 \uc5f0\uad6c\uc790\uc640 \uc815\ucc45 \uc785\uc548\uc790\uac00 \uc9c0\uc18d\uc801\uc73c\ub85c \uc9d1\uc911\ud574\uc57c \ud560 \uc0ac\ud56d\uc785\ub2c8\ub2e4.<\/p>\n\n\n\n<p>\ucef4\ud4e8\ud305 \ud30c\uc6cc\uac00 \ucee4\uc9c0\uace0 \ubaa8\ub378\uc774 \ub354 \ud6a8\uc728\uc801\uc774 \ub418\uba74\uc11c \uc774\ubbf8\uc9c0 \uc778\uc2dd\uc740 \uc77c\uc0c1 \uc0dd\ud65c\uc5d0 \uacc4\uc18d \uc2a4\uba70\ub4e4 \uac83\uc785\ub2c8\ub2e4. \ud559\uc0dd\uc758 \uc2dc\uac01\uc801 \ucc38\uc5ec\uc5d0 \uc801\uc751\ud558\ub294 \uac1c\uc778\ud654\ub41c \uad50\uc721 \ub3c4\uad6c\ubd80\ud130 \uc0ac\uc6a9\uc790 \uc5c5\ub85c\ub4dc\uc5d0 \ub530\ub77c \uc758\uc0c1\uc744 \ucd94\ucc9c\ud558\ub294 AI \uae30\ubc18 \ud328\uc158 \ud50c\ub7ab\ud3fc\uae4c\uc9c0, \uadf8 \uc7a0\uc7ac\ub825\uc740 \ubb34\ud55c\ud569\ub2c8\ub2e4. GPT-4V\uc640 \uac19\uc740 \uc2dc\uc2a4\ud15c\uc758 \uc790\uc5f0\uc5b4 \ucc98\ub9ac\uc640 \uac19\uc774 \ub2e4\ub978 AI \ub3c4\uba54\uc778\uacfc \ube44\uc804 \ubaa8\ub378\uc758 \uc735\ud569\uc740 \uc2dc\uac01 \uc7a5\uc560\uc778\uc744 \ub3d5\uae30 \uc704\ud574 \uc2dc\uac01\uc801 \uc2e0\ud638\ub97c \ud574\uc11d\ud558\ub294 AI \ubcf4\uc870\uc6d0\uacfc \uac19\uc740 \ub354\uc6b1 \ud48d\ubd80\ud55c \uc751\uc6a9 \ud504\ub85c\uadf8\ub7a8\uc744 \uc57d\uc18d\ud569\ub2c8\ub2e4.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">\ub3c4\uc804\uacfc \uc55e\uc73c\ub85c\uc758 \uae38<\/h2>\n\n\n\n<p>\uc774\ubbf8\uc9c0 \uc778\uc2dd \ubaa8\ub378\uc740 \uc8fc\ubaa9\ud560 \ub9cc\ud55c \uc774\uc815\ud45c\ub97c \ub2ec\uc131\ud588\uc9c0\ub9cc, \uad11\ubc94\uc704\ud55c \ucc44\ud0dd\uc740 \uc0c1\ub2f9\ud55c \uae30\uc220\uc801, \uc724\ub9ac\uc801, \uc2e4\uc9c8\uc801 \uc7a5\uc560\ubb3c\uc5d0 \uc9c1\uba74\ud574 \uc788\uc2b5\ub2c8\ub2e4. \uc774\ub7ec\ud55c \uacfc\uc81c\ub97c \ud574\uacb0\ud558\ub294 \uac83\uc740 \uc774\ub7ec\ud55c \uae30\uc220\uc774 \uc9c4\ud654\ud568\uc5d0 \ub530\ub77c \ud655\uc7a5 \uac00\ub2a5\ud558\uace0 \uacf5\ud3c9\ud558\uba70 \uc548\uc804\ud558\uac8c \uc720\uc9c0\ub418\ub3c4\ub85d \ud558\ub294 \ub370 \uc911\uc694\ud569\ub2c8\ub2e4.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">\uc8fc\uc694 \uacfc\uc81c<\/h3>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>\uacc4\uc0b0 \ube44\uc6a9<\/strong>: ViT\uc640 \uac19\uc740 \ucd5c\ucca8\ub2e8 \ubaa8\ub378\uc744 \ud6c8\ub828\ud558\ub824\uba74 \ubc29\ub300\ud55c GPU \ud074\ub7ec\uc2a4\ud130\uc640 \uc5d0\ub108\uc9c0\uac00 \ud544\uc694\ud558\uc5ec \ud658\uacbd \ubb38\uc81c\uac00 \ubc1c\uc0dd\ud558\uace0 \uc18c\uaddc\ubaa8 \uc870\uc9c1\uc758 \uc811\uadfc\uc774 \uc81c\ud55c\ub429\ub2c8\ub2e4. \uc608\ub97c \ub4e4\uc5b4, \ub2e8\uc77c \ub300\ud615 \ubcc0\uc555\uae30 \ubaa8\ub378\uc744 \ud6c8\ub828\ud558\uba74 \uc218\uba85 \ub3d9\uc548 \uc790\ub3d9\ucc28 5\ub300\ub9cc\ud07c\uc758 CO\u2082\uac00 \ubc30\ucd9c\ub420 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/li>\n\n\n\n<li><strong>\ub370\uc774\ud130 \uc885\uc18d\uc131<\/strong>: \ube44\uc804 \ubaa8\ub378, \ud2b9\ud788 \ud2b8\ub79c\uc2a4\ud3ec\uba38\ub294 \ubc29\ub300\ud55c \ub808\uc774\ube14\uc774 \uc9c0\uc815\ub41c \ub370\uc774\ud130 \uc138\ud2b8(\uc608: ImageNet\uc758 1,400\ub9cc \uac1c \uc774\ubbf8\uc9c0)\uac00 \ud544\uc694\ud569\ub2c8\ub2e4. \uc774\ub7ec\ud55c \ub370\uc774\ud130\ub97c \ud050\ub808\uc774\ud305\ud558\ub294 \uac83\uc740 \ube44\uc6a9\uc774 \ub9ce\uc774 \ub4e4\uace0 \uc2dc\uac04\uc774 \ub9ce\uc774 \uac78\ub9ac\uba70, \ud76c\uadc0 \uc9c8\ubcd1 \uc9c4\ub2e8\uacfc \uac19\uc740 \ud2c8\uc0c8 \ub3c4\uba54\uc778\uc5d0\uc11c\ub294 \uc885\uc885 \ube44\uc2e4\uc6a9\uc801\uc785\ub2c8\ub2e4.<\/li>\n\n\n\n<li><strong>\uacac\uace0\uc131\uacfc \ud3b8\ud5a5<\/strong>: \ubaa8\ub378\uc740 \uc2e4\uc81c \uc2dc\ub098\ub9ac\uc624\uc5d0\uc11c \uc608\uce21\ud560 \uc218 \uc5c6\uc774 \uc2e4\ud328\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4. \uc801\ub300\uc801 \uacf5\uaca9(\ubbf8\ubb18\ud55c \ud53d\uc140 \uad50\ub780)\uc740 \uace0\uae09 \uc2dc\uc2a4\ud15c\uc870\ucc28 \uc624\ub3c4\ud558\uc5ec \uc790\uc728 \uc8fc\ud589\uacfc \uac19\uc740 \uc560\ud50c\ub9ac\ucf00\uc774\uc158\uc5d0\uc11c \uc548\uc804\uc744 \uc704\ud611\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4. \ub610\ud55c, \ud6c8\ub828 \ub370\uc774\ud130\uc758 \ud3b8\ud5a5(\uc608: \ud2b9\uc815 \uc778\uad6c \ud1b5\uacc4\uc758 \uacfc\uc18c \ud45c\ud604)\uc740 \uc5bc\uad74 \uc778\uc2dd\uc5d0\uc11c \ud574\ub85c\uc6b4 \uace0\uc815\uad00\ub150\uc744 \ud37c\ub728\ub9b4 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/li>\n\n\n\n<li><strong>\ud574\uc11d \uac00\ub2a5\uc131<\/strong>: \ub9ce\uc740 \ube44\uc804 \ubaa8\ub378\uc774 &quot;\ube14\ub799\ubc15\uc2a4&quot;\ub85c \uc791\ub3d9\ud558\uc5ec \uc758\uc0ac \uacb0\uc815 \uac10\uc0ac\uac00 \uc5b4\ub835\uc2b5\ub2c8\ub2e4. \uc774\ub294 \ucc45\uc784\uc774 \uac00\uc7a5 \uc911\uc694\ud55c \uc758\ub8cc \ub610\ub294 \ud615\uc0ac \uc0ac\ubc95 \ubd84\uc57c\uc5d0\uc11c \uc911\uc694\ud55c \ubb38\uc81c\uc785\ub2c8\ub2e4.<\/li>\n<\/ul>\n\n\n\n<p>\uc774\ub7ec\ud55c \uc7a5\ubcbd\uc744 \uadf9\ubcf5\ud558\uae30 \uc704\ud574 \uc5f0\uad6c\uc790\ub4e4\uc740 \ud601\uc2e0\uc801\uc778 \uc804\ub7b5\uc744 \ucd94\uad6c\ud558\uace0 \uc788\uc2b5\ub2c8\ub2e4. MobileViT \ubc0f TinyViT\uc640 \uac19\uc740 \ud6a8\uc728\uc801\uc778 \uc544\ud0a4\ud14d\ucc98\ub294 \uc815\ud655\ub3c4\ub97c \ud76c\uc0dd\ud558\uc9c0 \uc54a\uace0 \ub9e4\uac1c\ubcc0\uc218 \uc218\ub97c \ucd5c\uc801\ud654\ud558\uc5ec \uc2a4\ub9c8\ud2b8\ud3f0 \ubc0f \ub4dc\ub860\uacfc \uac19\uc740 \uc5d0\uc9c0 \ub514\ubc14\uc774\uc2a4\uc5d0 \ubc30\ud3ec\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4. \uc2e0\uacbd \uad6c\uc870 \uac80\uc0c9(NAS)\uacfc \uac19\uc740 \uae30\uc220\uc740 \ubaa8\ub378 \uc124\uacc4\ub97c \uc790\ub3d9\ud654\ud558\uc5ec \uad6c\uc870\ub97c \ud2b9\uc815 \uc791\uc5c5(\uc608: \ucc9c\ubb38\ud559\uc744 \uc704\ud55c \uc800\uc870\ub3c4 \uc774\ubbf8\uc9d5)\uc5d0 \ub9de\uac8c \uc870\uc815\ud569\ub2c8\ub2e4. \ud55c\ud3b8, \uc591\uc790\ud654 \ubc0f \uac00\uc9c0\uce58\uae30\ub294 \uc911\ubcf5\ub41c \uac00\uc911\uce58\ub97c \ud2b8\ub9ac\ubc0d\ud558\uac70\ub098 \uc218\uce58\uc801 \uc815\ubc00\ub3c4\ub97c \ub0ae\ucdb0\uc11c \ubaa8\ub378 \ud06c\uae30\ub97c \uc904\uc774\uace0 \uc5d0\ub108\uc9c0 \uc18c\ube44\ub97c \uc904\uc785\ub2c8\ub2e4.<\/p>\n\n\n\n<p>\uc790\uae30 \uc9c0\ub3c4 \ud559\uc2b5(SSL)\uc740 \ub808\uc774\ube14\uc774 \uc9c0\uc815\ub41c \ub370\uc774\ud130\uc5d0 \ub300\ud55c \uc758\uc874\ub3c4\ub97c \uc904\uc774\ub294 \ub610 \ub2e4\ub978 \ucd5c\uc804\uc120\uc785\ub2c8\ub2e4. Masked Autoencoders(MAE)\uc640 \uac19\uc740 \ubc29\ubc95\uc740 \ub808\uc774\ube14\uc774 \uc9c0\uc815\ub418\uc9c0 \uc54a\uc740 \ub370\uc774\ud130\uc5d0\uc11c \uac15\ub825\ud55c \ud45c\ud604\uc744 \ud559\uc2b5\ud558\uc5ec \uc774\ubbf8\uc9c0\uc758 \ub9c8\uc2a4\ud06c\ub41c \ubd80\ubd84\uc744 \uc7ac\uad6c\uc131\ud558\ub294 \ubaa8\ub378\uc744 \ud559\uc2b5\ud569\ub2c8\ub2e4. \ub9c8\ucc2c\uac00\uc9c0\ub85c NVIDIA\uc758 Omniverse\uc640 \uac19\uc740 \ub3c4\uad6c\ub97c \uc0ac\uc6a9\ud558\uc5ec \ud569\uc131 \ub370\uc774\ud130\ub97c \uc0dd\uc131\ud558\uba74 \uc790\uc728 \uc8fc\ud589\ucc28\uc758 \uadf9\ud55c \uae30\uc0c1 \uc870\uac74\uacfc \uac19\uc740 \ub4dc\ubb38 \uc2dc\ub098\ub9ac\uc624\uc5d0 \ub300\ud55c \uc0ac\uc2e4\uc801\uc778 \ud559\uc2b5 \ub370\uc774\ud130 \uc138\ud2b8\ub97c \ub9cc\ub4ed\ub2c8\ub2e4.<\/p>\n\n\n\n<p>\uc724\ub9ac \ubc0f \uaddc\uc81c \ud504\ub808\uc784\uc6cc\ud06c\ub3c4 \uc9c4\ud654\ud558\uace0 \uc788\uc2b5\ub2c8\ub2e4. EU\uc758 AI \ubc95\uacfc \uc720\uc0ac\ud55c \uc815\ucc45\uc740 \uace0\uc704\ud5d8 \uc560\ud50c\ub9ac\ucf00\uc774\uc158\uc744 \uad00\ub9ac\ud558\uace0 \uc5bc\uad74 \uc778\uc2dd\uc758 \ud22c\uba85\uc131\uc744 \uc758\ubb34\ud654\ud558\uace0 \uacf5\uacf5 \uc7a5\uc18c\uc5d0\uc11c \uc2e4\uc2dc\uac04 \uc0dd\uccb4 \uc778\uc2dd \uac10\uc2dc\ub97c \uae08\uc9c0\ud558\ub294 \uac83\uc744 \ubaa9\ud45c\ub85c \ud569\ub2c8\ub2e4. \ubaa8\ub378 \uce74\ub4dc \ubc0f AI \ud329\ud2b8\uc2dc\ud2b8\uc640 \uac19\uc740 \ud611\ub825 \uc774\ub2c8\uc154\ud2f0\ube0c\ub294 \ubaa8\ub378 \uc81c\ud55c, \uad50\uc721 \ub370\uc774\ud130 \uc18c\uc2a4 \ubc0f \uc778\uad6c \ud1b5\uacc4 \uc804\ubc18\uc5d0 \uac78\uce5c \uc131\uacfc\ub97c \ubb38\uc11c\ud654\ud558\uc5ec \ucc45\uc784\uc744 \ucd09\uc9c4\ud569\ub2c8\ub2e4.<\/p>\n\n\n\n<p>\uc55e\uc73c\ub85c \uba40\ud2f0\ubaa8\ub2ec \ud559\uc2b5\uc774 \ud601\uc2e0\uc744 \uc8fc\ub3c4\ud560 \uac83\uc785\ub2c8\ub2e4. \uc774\ubbf8\uc9c0\uc640 \ud14d\uc2a4\ud2b8\ub97c \ud568\uaed8 \ucc98\ub9ac\ud558\ub294 OpenAI\uc758 GPT-4V\uc640 \uac19\uc740 \uc2dc\uc2a4\ud15c\uc740 \uc2dc\uac01\uc801 \uc9c8\ubb38 \ub2f5\ubcc0(\uc608: &quot;\uc774 \uadf8\ub798\ud504\ub97c \uc124\uba85\ud558\uc138\uc694&quot;)\uc774\ub098 \ub2e4\uc774\uc5b4\uadf8\ub7a8\uc744 \uc124\uba85\ud558\ub294 AI \ud29c\ud130\uc640 \uac19\uc740 \uc560\ud50c\ub9ac\ucf00\uc774\uc158\uc744 \uac00\ub2a5\ud558\uac8c \ud569\ub2c8\ub2e4. \ub1cc\uc758 \ud6a8\uc728\uc131\uc5d0\uc11c \uc601\uac10\uc744 \ubc1b\uc740 \uc2e0\uacbd\ud615 \ucef4\ud4e8\ud305\uc740 \ud558\ub4dc\uc6e8\uc5b4\uc5d0 \ud601\uba85\uc744 \uc77c\uc73c\ud0ac \uc218 \uc788\uc2b5\ub2c8\ub2e4. \uc608\ub97c \ub4e4\uc5b4 IBM\uc758 TrueNorth \uce69\uc740 \uc2e0\uacbd\ub9dd\uc744 \ubaa8\ubc29\ud558\uc5ec \uae30\uc874 GPU\uc758 1\/10,000\uc758 \uc5d0\ub108\uc9c0\ub85c \ube44\uc804 \uc791\uc5c5\uc744 \uc218\ud589\ud569\ub2c8\ub2e4.<\/p>\n\n\n\n<p>AI\uc640 \uc99d\uac15 \ud604\uc2e4(AR) \ubc0f \ub85c\ubd07\uacf5\ud559\uc744 \ud1b5\ud569\ud558\uba74 \uc774\ubbf8\uc9c0 \uc778\uc2dd\uc758 \uc601\ud5a5\ub825\uc774 \ub354\uc6b1 \ud655\ub300\ub420 \uac83\uc785\ub2c8\ub2e4. \ucc3d\uace0 \ub85c\ubd07\uc774 \ud558\uc774\ube0c\ub9ac\ub4dc \ubaa8\ub378\uc744 \uc0ac\uc6a9\ud558\uc5ec \ubcf5\uc7a1\ud55c \ud658\uacbd\uc744 \ud0d0\uc0c9\ud558\uac70\ub098 AR \uc548\uacbd\uc774 \uc678\uad6d\uc5b4 \ud14d\uc2a4\ud2b8\ub97c \uc2e4\uc2dc\uac04\uc73c\ub85c \ubc88\uc5ed\ud558\ub294 \uac83\uc744 \uc0c1\uc0c1\ud574 \ubcf4\uc138\uc694. \uadf8\ub7ec\ub098 \uc774\ub7ec\ud55c \ube44\uc804\uc744 \ub2ec\uc131\ud558\ub824\uba74 \uc7ac\ub8cc \uacfc\ud559, \uc724\ub9ac \ubc0f \uc778\uac04-\ucef4\ud4e8\ud130 \uc0c1\ud638 \uc791\uc6a9\uc758 \ubc1c\uc804\uc744 \uc735\ud569\ud558\ub294 \ud559\uc81c \uac04 \ud611\uc5c5\uc774 \ud544\uc694\ud569\ub2c8\ub2e4.<\/p>\n\n\n\n<p>\uad81\uadf9\uc801\uc73c\ub85c \uc774\ubbf8\uc9c0 \uc778\uc2dd\uc758 \ubbf8\ub798\ub294 \uc5ed\ub7c9\uacfc \ucc45\uc784\uc758 \uade0\ud615\uc5d0 \ub2ec\ub824 \uc788\uc2b5\ub2c8\ub2e4. \ubaa8\ub378\uc774 \ub354\uc6b1 \uac15\ub825\ud574\uc9d0\uc5d0 \ub530\ub77c, \ud574\ub97c \ub07c\uce58\ub294 \uc6d0\uc778\uc774 \uc544\ub2cc \uacf5\ud3c9\ud55c \ub3c4\uad6c \uc5ed\ud560\uc744 \ud558\ub294 \uac83\uc774 AI \ube44\uc804\uc758 \ub2e4\uc74c \uc2dc\ub300\ub97c \uc815\uc758\ud560 \uac83\uc785\ub2c8\ub2e4.<\/p>\n\n\n\n<figure class=\"wp-block-image aligncenter size-large is-resized\"><img decoding=\"async\" width=\"237\" height=\"40\" src=\"https:\/\/flypix.ai\/wp-content\/uploads\/2024\/07\/flypix-logo.svg\" alt=\"\ud50c\ub77c\uc774\ud53d\uc2a4 AI\" class=\"wp-image-156767\" style=\"width:840px;height:auto\" srcset=\"https:\/\/flypix.ai\/wp-content\/uploads\/flypix-logo.svg 150w, https:\/\/flypix.ai\/wp-content\/uploads\/flypix-logo.svg 300w, https:\/\/flypix.ai\/wp-content\/uploads\/flypix-logo.svg 768w, https:\/\/flypix.ai\/wp-content\/uploads\/flypix-logo.svg 1024w, https:\/\/flypix.ai\/wp-content\/uploads\/flypix-logo.svg 237w\" sizes=\"(max-width: 237px) 100vw, 237px\" \/><\/figure>\n\n\n\n<h2 class=\"wp-block-heading\">Flypix: \uc9c0\ub9ac\uacf5\uac04 \ube44\uc804\uc744 \uc704\ud574 CNN\uacfc Transformers\ub97c \ud65c\uc6a9\ud558\ub294 \ubc29\ubc95<\/h2>\n\n\n\n<p>\uc774\ubbf8\uc9c0 \uc778\uc2dd\uc5d0\uc11c CNN\uacfc Transformers \uac04\uc758 \uc9c4\ud654\ud558\ub294 \ub17c\uc7c1\uc744 \uc0b4\ud3b4\ubcf4\uba74 \ub2e4\uc74c\uacfc \uac19\uc740 \ud50c\ub7ab\ud3fc\uc774 \uc788\uc2b5\ub2c8\ub2e4. <a href=\"https:\/\/flypix.ai\/ko\/\" target=\"_blank\" rel=\"noreferrer noopener\">\ud50c\ub77c\uc774\ud53d\uc2a4<\/a> \uc2e4\uc81c \uc138\uacc4 \uc751\uc6a9 \ud504\ub85c\uadf8\ub7a8\uc5d0\uc11c \uc774\ub860\uc801 \ub17c\uc758\ub97c \uae30\ubc18\uc73c\ub85c \uc0bc\uc2b5\ub2c8\ub2e4. Flypix\uc5d0\uc11c \uc6b0\ub9ac\ub294 \ub450 \uc544\ud0a4\ud14d\ucc98\uc758 \uac15\uc810\uc744 \uacb0\ud569\ud558\uc5ec \ubcf5\uc7a1\ud55c \uc9c0\ub9ac\uacf5\uac04 \ub370\uc774\ud130(\uc704\uc131 \uc774\ubbf8\uc9c0, \ub4dc\ub860 \ucea1\ucc98, \ud56d\uacf5 \uc0ac\uc9c4)\ub97c \ub514\ucf54\ub529\ud569\ub2c8\ub2e4. \uc9c0\uc5ed\ud654\ub41c \uae30\ub2a5 \ucd94\ucd9c\uc744 \uac16\ucd98 CNN\uc740 \uc778\ud504\ub77c \ubcc0\ud654\ub098 \uc791\ubb3c \ud328\ud134\uc744 \uc2dd\ubcc4\ud558\ub294 \ub2a5\ub825\uc744 \uac15\ud654\ud558\ub294 \ubc18\uba74, Transformers\ub294 \uad11\ud65c\ud55c \ud48d\uacbd\uc774\ub098 \ub2e4\uc911 \uc2dc\uac04 \ub370\uc774\ud130 \uc138\ud2b8\uc5d0\uc11c \uc7a5\uac70\ub9ac \uc885\uc18d\uc131\uc744 \ubaa8\ub378\ub9c1\ud558\ub294 \ub370 \ub3c4\uc6c0\uc774 \ub429\ub2c8\ub2e4. \uc774\ub7ec\ud55c \ud558\uc774\ube0c\ub9ac\ub4dc \uc811\uadfc \ubc29\uc2dd\uc740 \uc6b0\ub9ac\uc758 \ucca0\ud559\uc744 \ubc18\uc601\ud569\ub2c8\ub2e4. CNN\uacfc Transformers \uac04\uc758 \uc120\ud0dd\uc740 \uc774\uc9c4\ubc95\uc774 \uc544\ub2c8\ub77c \ubb38\ub9e5\uc801\uc774\uba70 \ubb38\uc81c\uc758 \uaddc\ubaa8\uc640 \ub370\uc774\ud130\uc758 \uc2dc\uacf5\uac04\uc801 \ubcf5\uc7a1\uc131\uc5d0 \ub530\ub77c \uacb0\uc815\ub429\ub2c8\ub2e4.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">\uc6b0\ub9ac\uc758 \uc6cc\ud06c\ud50c\ub85c: \uc544\ud0a4\ud14d\ucc98\uc640 \ub3c4\uad6c \uc5f0\uacb0<\/h3>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>\uc815\ubc00\ub3c4\ub97c \uc704\ud55c CNN<\/strong>: \uc6b0\ub9ac\ub294 ResNet\uacfc \uac19\uc740 CNN \uae30\ubc18 \ubaa8\ub378\uc744 \uc0ac\uc6a9\ud558\uc5ec \ub3c4\ub85c\ub9dd\uc774\ub098 \uad00\uac1c \uc2dc\uc2a4\ud15c\uacfc \uac19\uc774 \uacf5\uac04\uc801 \uacc4\uce35 \uad6c\uc870\uac00 \uc911\uc694\ud55c \uc138\ubd84\ud654\ub41c \ud2b9\uc9d5\uc744 \uac10\uc9c0\ud569\ub2c8\ub2e4.<\/li>\n\n\n\n<li><strong>\ucee8\ud14d\uc2a4\ud2b8\ub97c \uc704\ud55c \ubcc0\uc555\uae30<\/strong>: \ub300\ub959 \uaddc\ubaa8\uc758 \uc704\uc131 \ubaa8\uc790\uc774\ud06c\ub97c \ubd84\uc11d\ud558\uac70\ub098 \uc218\ub144\uc5d0 \uac78\uce5c \ud658\uacbd \ubcc0\ud654\ub97c \ucd94\uc801\ud560 \ub54c, \uc6b0\ub9ac\uc758 \ubcc0\ud658\uae30 \uacc4\uce35\uc740 CNN\uc774 \ub193\uce60 \uc218 \uc788\ub294 \uae00\ub85c\ubc8c \uad00\uacc4\ub97c \ud3ec\ucc29\ud569\ub2c8\ub2e4.<\/li>\n\n\n\n<li><strong>\ud30c\uc774\uc36c \uae30\ubc18 \uc720\uc5f0\uc131<\/strong>: \ub2f9\uc0ac\uc758 \ud30c\uc774\ud504\ub77c\uc778\uc740 PyTorch\uc640 TensorFlow\ub97c \ud1b5\ud569\ud558\uc5ec \uc18c\uaddc\ubaa8 \ud504\ub85c\uc81d\ud2b8\uc5d0 \uc0ac\uc6a9\ud558\ub294 \uac83\uacfc \ub3d9\uc77c\ud55c \ud658\uacbd\uc5d0\uc11c \ud558\uc774\ube0c\ub9ac\ub4dc \ubaa8\ub378\uc758 \ud504\ub85c\ud1a0\ud0c0\uc785\uc744 \uc81c\uc791\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/li>\n\n\n\n<li><strong>\uc2e4\uc81c \uc138\uacc4 \uc601\ud5a5<\/strong>: \uc0bc\ub9bc \ubc8c\ucc44\ub098 \ub3c4\uc2dc \uac1c\ubc1c\uc744 \ubaa8\ub2c8\ud130\ub9c1\ud560 \ub54c \uc815\ud655\uc131\uacfc \uacc4\uc0b0 \ud6a8\uc728\uc131\uc758 \uade0\ud615\uc744 \uc774\ub8e8\ub294 \uc544\ud0a4\ud14d\ucc98\ub97c \uc6b0\uc120\uc2dc\ud558\uc5ec \uac15\ub825\ud558\uba74\uc11c\ub3c4 \ubc30\ud3ec \uac00\ub2a5\ud55c \uc194\ub8e8\uc158\uc744 \ubcf4\uc7a5\ud569\ub2c8\ub2e4.<\/li>\n<\/ul>\n\n\n\n<p>CNN\uc758 \ud53d\uc140 \uc218\uc900 \uc815\ubc00\ub3c4\uc640 Transformers\uc758 \uc804\uccb4\uc801 \ube44\uc804\uc744 \ud569\uce58\uba74 \uc6b0\ub9ac\ub294 \ub2e8\uc21c\ud788 \ubaa8\ub378\uc5d0 \ub300\ud574 \ub17c\uc7c1\ud558\ub294 \uac83\uc774 \uc544\ub2c8\ub77c, \ub450 \ubaa8\ub378\uc758 \uacb0\ud569\ub41c \uc7a0\uc7ac\ub825\uc744 \uc99d\uba85\ud569\ub2c8\ub2e4. \uc6b0\ub9ac\uc5d0\uac8c \uc774 \uc2dc\ub108\uc9c0\ub294 \uc774\ub860\uc801\uc778 \uac83\uc774 \uc544\ub2c8\ub77c, \ud53d\uc140\uc744 \uc9c0\uc18d \uac00\ub2a5\uc131, \ub18d\uc5c5, \ub3c4\uc2dc \uacc4\ud68d\uc5d0 \ub300\ud55c \uc2e4\ud589 \uac00\ub2a5\ud55c \ud1b5\ucc30\ub825\uc73c\ub85c \uc804\ud658\ud558\ub294 \ubc29\ubc95\uc785\ub2c8\ub2e4.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">\uacb0\ub860<\/h2>\n\n\n\n<p>CNN\uacfc \ud2b8\ub79c\uc2a4\ud3ec\uba38\ub294 \uc774\ubbf8\uc9c0 \uc778\uc2dd\uc5d0\uc11c \ub450 \uac00\uc9c0 \ub69c\ub837\ud55c \ucca0\ud559\uc744 \ub098\ud0c0\ub0c5\ub2c8\ub2e4. \uc804\uc790\ub294 \ub85c\uceec \uae30\ub2a5 \ucd94\ucd9c\uc5d0 \ub6f0\uc5b4\ub098\uace0 \ud6c4\uc790\ub294 \uae00\ub85c\ubc8c \ucee8\ud14d\uc2a4\ud2b8\ub97c \ub9c8\uc2a4\ud130\ud569\ub2c8\ub2e4. \ud558\uc774\ube0c\ub9ac\ub4dc \ubaa8\ub378\uacfc \uc9c0\uc18d\uc801\uc778 \ud601\uc2e0\uc740 \uc774\ub7ec\ud55c \uacbd\uacc4\ub97c \ubaa8\ud638\ud558\uac8c \ub9cc\ub4e4\uace0 \ub2e4\uc591\ud55c \uc751\uc6a9 \ud504\ub85c\uadf8\ub7a8\uc744 \uc704\ud55c \ub2e4\uc7ac\ub2e4\ub2a5\ud55c \ub3c4\uad6c\ub97c \ub9cc\ub4ed\ub2c8\ub2e4. \uc774 \ubd84\uc57c\uac00 \ubc1c\uc804\ud568\uc5d0 \ub530\ub77c \ud575\uc2ec\uc740 \ud6a8\uc728\uc131, \uc815\ud655\uc131 \ubc0f \uc811\uadfc\uc131\uc758 \uade0\ud615\uc744 \ub9de\ucd94\ub294 \uac83\uc785\ub2c8\ub2e4. \uc5e3\uc9c0 \ub514\ubc14\uc774\uc2a4\ub97c \uc704\ud574 CNN\uc744 \ucd5c\uc801\ud654\ud558\ub4e0 \uc0b0\uc5c5\uc6a9\uc73c\ub85c \ud2b8\ub79c\uc2a4\ud3ec\uba38\ub97c \ud655\uc7a5\ud558\ub4e0 \uc774\ubbf8\uc9c0 \uc778\uc2dd\uc758 \ubbf8\ub798\ub294 \uc9c0\ub2a5\ud615 \uae30\uacc4\uc640\uc758 \ud611\uc5c5\uc744 \uc2ec\ud654\ud558\uc5ec \uc138\uc0c1\uc744 \ubcf4\ub294 \ubc29\uc2dd\uacfc \uc0c1\ud638 \uc791\uc6a9\ud558\ub294 \ubc29\uc2dd\uc744 \ubcc0\ud654\uc2dc\ud0ac \uac83\uc744 \uc57d\uc18d\ud569\ub2c8\ub2e4.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">\uc790\uc8fc \ubb3b\ub294 \uc9c8\ubb38<\/h2>\n\n\n\n<div class=\"schema-faq wp-block-yoast-faq-block\"><div class=\"schema-faq-section\" id=\"faq-question-1739114364861\"><strong class=\"schema-faq-question\"><strong>1. \uc774\ubbf8\uc9c0 \uc778\uc2dd\uc5d0 \uc788\uc5b4\uc11c CNN\uc758 \uc8fc\uc694 \uc7a5\uc810\uc740 \ubb34\uc5c7\uc785\ub2c8\uae4c?<\/strong><\/strong> <p class=\"schema-faq-answer\">CNN\uc740 \ud569\uc131\uacf1 \uacc4\uce35\uc744 \ud1b5\ud574 \ub85c\uceec \uacf5\uac04 \ud328\ud134(\uc608: \ubaa8\uc11c\ub9ac, \ud14d\uc2a4\ucc98)\uc744 \ud3ec\ucc29\ud558\ub294 \ub370 \ub6f0\uc5b4\ub098\ubbc0\ub85c \uacc4\uce35\uc801 \ud2b9\uc9d5 \ucd94\ucd9c\uc774 \uc911\uc694\ud55c \uac1d\uccb4 \uac10\uc9c0 \ubc0f \uc758\ub8cc \uc601\uc0c1 \uc791\uc5c5\uacfc \uac19\uc740 \uc791\uc5c5\uc5d0 \uc774\uc0c1\uc801\uc785\ub2c8\ub2e4.<\/p> <\/div> <div class=\"schema-faq-section\" id=\"faq-question-1739114375410\"><strong class=\"schema-faq-question\"><strong>2. \ud2b8\ub79c\uc2a4\ud3ec\uba38\uac00 \ucef4\ud4e8\ud130 \ube44\uc804 \ubd84\uc57c\uc5d0\uc11c \uc778\uae30\ub97c \uc5bb\uace0 \uc788\ub294 \uc774\uc720\ub294 \ubb34\uc5c7\uc785\ub2c8\uae4c?<\/strong><\/strong> <p class=\"schema-faq-answer\">\ud2b8\ub79c\uc2a4\ud3ec\uba38\ub294 \uc140\ud504 \uc5b4\ud150\uc158 \uba54\ucee4\ub2c8\uc998\uc744 \ud65c\uc6a9\ud558\uc5ec \uc7a5\uac70\ub9ac \uc885\uc18d\uc131\uc744 \ubaa8\ub378\ub9c1\ud558\uc5ec \uc774\ubbf8\uc9c0\uc758 \uae00\ub85c\ubc8c \ucee8\ud14d\uc2a4\ud2b8\ub97c \uc774\ud574\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4. \uc774\ub294 \uc7a5\uba74 \uc774\ud574 \ub610\ub294 \ub2e4\uc911 \uac1d\uccb4 \uad00\uacc4\uc640 \uac19\uc740 \uc791\uc5c5\uc5d0 \uac15\ub825\ud569\ub2c8\ub2e4.<\/p> <\/div> <div class=\"schema-faq-section\" id=\"faq-question-1739114394322\"><strong class=\"schema-faq-question\"><strong>3. Transformers\ub294 \uc18c\uaddc\ubaa8 \ub370\uc774\ud130 \uc138\ud2b8\uc5d0\uc11c CNN\ubcf4\ub2e4 \uc131\ub2a5\uc774 \uc6b0\uc218\ud560 \uc218 \uc788\uc2b5\ub2c8\uae4c?<\/strong><\/strong> <p class=\"schema-faq-answer\">\uc77c\ubc18\uc801\uc73c\ub85c, \uc544\ub2c8\uc694. \ubcc0\ud658\uae30\ub294 \uc758\ubbf8 \uc788\ub294 \uc8fc\uc758 \ud328\ud134\uc744 \ud559\uc2b5\ud558\uae30 \uc704\ud574 \ub300\uaddc\ubaa8 \ub370\uc774\ud130 \uc138\ud2b8\uac00 \ud544\uc694\ud55c \ubc18\uba74, CNN\uc740 \uadc0\ub0a9\uc801 \ud3b8\ud5a5(\uc608: \ubcc0\ud658 \ubd88\ubcc0\uc131)\uc73c\ub85c \uc778\ud574 \uc81c\ud55c\ub41c \ub370\uc774\ud130\ub85c \ub354 \uc798 \uc77c\ubc18\ud654\ud569\ub2c8\ub2e4.<\/p> <\/div> <div class=\"schema-faq-section\" id=\"faq-question-1739114406146\"><strong class=\"schema-faq-question\"><strong>4. \ud558\uc774\ube0c\ub9ac\ub4dc CNN-Transformer \ubaa8\ub378\uc740 \ub450 \uc544\ud0a4\ud14d\ucc98\ub97c \uc5b4\ub5bb\uac8c \uacb0\ud569\ud569\ub2c8\uae4c?<\/strong><\/strong> <p class=\"schema-faq-answer\">\ud558\uc774\ube0c\ub9ac\ub4dc \ubaa8\ub378\uc740 \ub85c\uceec \ud53c\ucc98 \ucd94\ucd9c\uc5d0 CNN\uc744 \uc0ac\uc6a9\ud558\uace0 \uae00\ub85c\ubc8c \ucee8\ud14d\uc2a4\ud2b8 \ubaa8\ub378\ub9c1\uc5d0 Transformer\ub97c \uc0ac\uc6a9\ud569\ub2c8\ub2e4. \uc608\ub97c \ub4e4\uc5b4, CNN \ubc31\ubcf8\uc740 \ud53d\uc140 \uc218\uc900\uc758 \uc138\ubd80 \uc815\ubcf4\ub97c \ucc98\ub9ac\ud558\ub294 \ubc18\uba74, Transformer \uacc4\uce35\uc740 \uc601\uc5ed \uac04\uc758 \uad00\uacc4\ub97c \uac1c\uc120\ud569\ub2c8\ub2e4.<\/p> <\/div> <div class=\"schema-faq-section\" id=\"faq-question-1739114428874\"><strong class=\"schema-faq-question\"><strong>5. Transformers\ub294 CNN\ubcf4\ub2e4 \uacc4\uc0b0\ub7c9\uc774 \ub354 \ub9ce\uc2b5\ub2c8\uae4c?<\/strong><\/strong> <p class=\"schema-faq-answer\">\ub124. \ud2b8\ub79c\uc2a4\ud3ec\uba38\ub294 \uc785\ub825 \ud06c\uae30\uc5d0 \ub530\ub77c 2\ucc28 \ubcf5\uc7a1\ub3c4\ub97c \uac00\uc9c0\ubbc0\ub85c \uace0\ud574\uc0c1\ub3c4 \uc774\ubbf8\uc9c0\uc5d0 \ub9ac\uc18c\uc2a4 \uc9d1\uc57d\uc801\uc785\ub2c8\ub2e4. \ub9e4\uac1c\ubcc0\uc218 \uacf5\uc720 \ud569\uc131\uacf1\uc744 \uc0ac\uc6a9\ud558\ub294 CNN\uc740 \uc2e4\uc2dc\uac04 \uc560\ud50c\ub9ac\ucf00\uc774\uc158\uc5d0 \ub354 \ud6a8\uc728\uc801\uc778 \uacbd\uc6b0\uac00 \ub9ce\uc2b5\ub2c8\ub2e4.<\/p> <\/div> <div class=\"schema-faq-section\" id=\"faq-question-1739114444534\"><strong class=\"schema-faq-question\"><strong>6. \uc2e4\uc2dc\uac04 \uc774\ubbf8\uc9c0 \uc778\uc2dd\uc5d0 \uc5b4\ub5a4 \uc544\ud0a4\ud14d\ucc98\uac00 \ub354 \ub0ab\uc2b5\ub2c8\uae4c?<\/strong><\/strong> <p class=\"schema-faq-answer\">CNN\uc740 \uc77c\ubc18\uc801\uc73c\ub85c \uacc4\uc0b0 \ud6a8\uc728\uc131 \ub54c\ubb38\uc5d0 \uc2e4\uc2dc\uac04 \uc791\uc5c5(\uc608: \ube44\ub514\uc624 \ucc98\ub9ac)\uc5d0 \uc120\ud638\ub429\ub2c8\ub2e4. \uadf8\ub7ec\ub098 \ucd5c\uc801\ud654\ub41c Transformers \ub610\ub294 \ud558\uc774\ube0c\ub9ac\ub4dc \ubaa8\ub378\uc740 \ud1a0\ud070 \uac10\uc18c \ub610\ub294 \uc99d\ub958\uc640 \uac19\uc740 \uae30\uc220\uc744 \uc0ac\uc6a9\ud558\uc5ec \uacbd\uc7c1\ub825 \uc788\ub294 \uc18d\ub3c4\ub97c \ub2ec\uc131\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/p> <\/div> <\/div>\n\n\n\n<p><\/p>","protected":false},"excerpt":{"rendered":"<p>Image recognition, a pillar of artificial intelligence, enables machines to interpret visual data with human-like precision. From healthcare diagnostics to autonomous driving, this technology relies on advanced models like Convolutional Neural Networks (CNNs) and Vision Transformers (ViTs). While CNNs dominate with their efficiency in local feature extraction, transformers excel at capturing global context. This article [&hellip;]<\/p>\n","protected":false},"author":5,"featured_media":173899,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"footnotes":""},"categories":[1],"tags":[],"class_list":["post-173882","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-articles"],"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.3 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>CNNs vs. Transformers: Image Recognition Models Explained<\/title>\n<meta name=\"description\" content=\"Explore CNNs, Transformers, and hybrid models in image recognition. Learn their applications, challenges, and future trends in AI vision.\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/flypix.ai\/ko\/image-recognition-models-cnns\/\" \/>\n<meta property=\"og:locale\" content=\"ko_KR\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"CNNs vs. Transformers: Image Recognition Models Explained\" \/>\n<meta property=\"og:description\" content=\"Explore CNNs, Transformers, and hybrid models in image recognition. 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What are the key strengths of CNNs in image recognition?\",\"answerCount\":1,\"acceptedAnswer\":{\"@type\":\"Answer\",\"text\":\"CNNs excel at capturing local spatial patterns (e.g., edges, textures) through convolutional layers, making them ideal for tasks like object detection and medical imaging where hierarchical feature extraction is critical.\",\"inLanguage\":\"ko-KR\"},\"inLanguage\":\"ko-KR\"},{\"@type\":\"Question\",\"@id\":\"https:\\\/\\\/flypix.ai\\\/ko\\\/image-recognition-models-cnns\\\/#faq-question-1739114375410\",\"position\":2,\"url\":\"https:\\\/\\\/flypix.ai\\\/ko\\\/image-recognition-models-cnns\\\/#faq-question-1739114375410\",\"name\":\"2. Why are Transformers gaining popularity in computer vision?\",\"answerCount\":1,\"acceptedAnswer\":{\"@type\":\"Answer\",\"text\":\"Transformers leverage self-attention mechanisms to model long-range dependencies, allowing them to understand global context in images. This makes them powerful for tasks like scene understanding or multi-object relationships.\",\"inLanguage\":\"ko-KR\"},\"inLanguage\":\"ko-KR\"},{\"@type\":\"Question\",\"@id\":\"https:\\\/\\\/flypix.ai\\\/ko\\\/image-recognition-models-cnns\\\/#faq-question-1739114394322\",\"position\":3,\"url\":\"https:\\\/\\\/flypix.ai\\\/ko\\\/image-recognition-models-cnns\\\/#faq-question-1739114394322\",\"name\":\"3. Can Transformers outperform CNNs on small datasets?\",\"answerCount\":1,\"acceptedAnswer\":{\"@type\":\"Answer\",\"text\":\"Typically, no. Transformers require large datasets to learn meaningful attention patterns, while CNNs generalize better with limited data due to their inductive biases (e.g., translation invariance).\",\"inLanguage\":\"ko-KR\"},\"inLanguage\":\"ko-KR\"},{\"@type\":\"Question\",\"@id\":\"https:\\\/\\\/flypix.ai\\\/ko\\\/image-recognition-models-cnns\\\/#faq-question-1739114406146\",\"position\":4,\"url\":\"https:\\\/\\\/flypix.ai\\\/ko\\\/image-recognition-models-cnns\\\/#faq-question-1739114406146\",\"name\":\"4. How do hybrid CNN-Transformer models combine both architectures?\",\"answerCount\":1,\"acceptedAnswer\":{\"@type\":\"Answer\",\"text\":\"Hybrid models use CNNs for local feature extraction and Transformers for global context modeling. For example, a CNN backbone processes pixel-level details, while transformer layers refine relationships between regions.\",\"inLanguage\":\"ko-KR\"},\"inLanguage\":\"ko-KR\"},{\"@type\":\"Question\",\"@id\":\"https:\\\/\\\/flypix.ai\\\/ko\\\/image-recognition-models-cnns\\\/#faq-question-1739114428874\",\"position\":5,\"url\":\"https:\\\/\\\/flypix.ai\\\/ko\\\/image-recognition-models-cnns\\\/#faq-question-1739114428874\",\"name\":\"5. Are Transformers computationally heavier than CNNs?\",\"answerCount\":1,\"acceptedAnswer\":{\"@type\":\"Answer\",\"text\":\"Yes. Transformers have quadratic complexity with input size, making them resource-intensive for high-resolution images. CNNs, with their parameter-sharing convolutions, are often more efficient for real-time applications.\",\"inLanguage\":\"ko-KR\"},\"inLanguage\":\"ko-KR\"},{\"@type\":\"Question\",\"@id\":\"https:\\\/\\\/flypix.ai\\\/ko\\\/image-recognition-models-cnns\\\/#faq-question-1739114444534\",\"position\":6,\"url\":\"https:\\\/\\\/flypix.ai\\\/ko\\\/image-recognition-models-cnns\\\/#faq-question-1739114444534\",\"name\":\"6. Which architecture is better for real-time image recognition?\",\"answerCount\":1,\"acceptedAnswer\":{\"@type\":\"Answer\",\"text\":\"CNNs are generally preferred for real-time tasks (e.g., video processing) due to their computational efficiency. 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This makes them powerful for tasks like scene understanding or multi-object relationships.","inLanguage":"ko-KR"},"inLanguage":"ko-KR"},{"@type":"Question","@id":"https:\/\/flypix.ai\/ko\/image-recognition-models-cnns\/#faq-question-1739114394322","position":3,"url":"https:\/\/flypix.ai\/ko\/image-recognition-models-cnns\/#faq-question-1739114394322","name":"3. Transformers\ub294 \uc18c\uaddc\ubaa8 \ub370\uc774\ud130 \uc138\ud2b8\uc5d0\uc11c CNN\ubcf4\ub2e4 \uc131\ub2a5\uc774 \uc6b0\uc218\ud560 \uc218 \uc788\uc2b5\ub2c8\uae4c?","answerCount":1,"acceptedAnswer":{"@type":"Answer","text":"Typically, no. Transformers require large datasets to learn meaningful attention patterns, while CNNs generalize better with limited data due to their inductive biases (e.g., translation invariance).","inLanguage":"ko-KR"},"inLanguage":"ko-KR"},{"@type":"Question","@id":"https:\/\/flypix.ai\/ko\/image-recognition-models-cnns\/#faq-question-1739114406146","position":4,"url":"https:\/\/flypix.ai\/ko\/image-recognition-models-cnns\/#faq-question-1739114406146","name":"4. \ud558\uc774\ube0c\ub9ac\ub4dc CNN-Transformer \ubaa8\ub378\uc740 \ub450 \uc544\ud0a4\ud14d\ucc98\ub97c \uc5b4\ub5bb\uac8c \uacb0\ud569\ud569\ub2c8\uae4c?","answerCount":1,"acceptedAnswer":{"@type":"Answer","text":"Hybrid models use CNNs for local feature extraction and Transformers for global context modeling. For example, a CNN backbone processes pixel-level details, while transformer layers refine relationships between regions.","inLanguage":"ko-KR"},"inLanguage":"ko-KR"},{"@type":"Question","@id":"https:\/\/flypix.ai\/ko\/image-recognition-models-cnns\/#faq-question-1739114428874","position":5,"url":"https:\/\/flypix.ai\/ko\/image-recognition-models-cnns\/#faq-question-1739114428874","name":"5. Transformers\ub294 CNN\ubcf4\ub2e4 \uacc4\uc0b0\ub7c9\uc774 \ub354 \ub9ce\uc2b5\ub2c8\uae4c?","answerCount":1,"acceptedAnswer":{"@type":"Answer","text":"Yes. Transformers have quadratic complexity with input size, making them resource-intensive for high-resolution images. CNNs, with their parameter-sharing convolutions, are often more efficient for real-time applications.","inLanguage":"ko-KR"},"inLanguage":"ko-KR"},{"@type":"Question","@id":"https:\/\/flypix.ai\/ko\/image-recognition-models-cnns\/#faq-question-1739114444534","position":6,"url":"https:\/\/flypix.ai\/ko\/image-recognition-models-cnns\/#faq-question-1739114444534","name":"6. \uc2e4\uc2dc\uac04 \uc774\ubbf8\uc9c0 \uc778\uc2dd\uc5d0 \uc5b4\ub5a4 \uc544\ud0a4\ud14d\ucc98\uac00 \ub354 \ub0ab\uc2b5\ub2c8\uae4c?","answerCount":1,"acceptedAnswer":{"@type":"Answer","text":"CNNs are generally preferred for real-time tasks (e.g., video processing) due to their computational efficiency. 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