![\"\u56fe1\uff1a\u89c6\u89c9\u9884\u8bad\u7ec3\u6a21\u578b\u53c2\u6570\u91cf\u7684\u53d8\u5316\u8d8b\u52bf\u56fe\"](\"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2024\/08\/lightweight-vision-pre-training-1-1024x614.png\")
<\/p>\n\n\n\n
\u65e0\u8bba\u662f\u5fae\u8f6f\u768430\u4ebf\u53c2\u6570 Swin-V2 \u6a21\u578b\uff0c\u8fd8\u662f\u8c37\u6b4c\u53d1\u5e03\u768418\u4ebf\u53c2\u6570 ViT-G\/14 \u6a21\u578b\uff0c\u89c6\u89c9\u5927\u6a21\u578b\u5728\u4f17\u591a\u4efb\u52a1\u4e2d\u90fd\u5c55\u73b0\u4e86\u4f18\u8d8a\u7684\u6027\u80fd\uff0c\u5c24\u5176\u662f\u5176\u5f3a\u5927\u7684\u5c0f\u6837\u672c(few-shot) \u751a\u81f3\u662f\u96f6\u6837\u672c (zero-shot) \u7684\u6cdb\u5316\u80fd\u529b\uff0c\u5bf9\u5b9e\u73b0\u901a\u7528\u667a\u80fd\u975e\u5e38\u5173\u952e\u3002<\/p>\n\n\n\n
\u7136\u800c\uff0c\u5728\u5f88\u591a\u5b9e\u9645\u573a\u666f\u4e2d\uff0c\u7531\u4e8e\u5b58\u50a8\u3001\u8ba1\u7b97\u8d44\u6e90\u7684\u9650\u5236\uff0c\u5927\u6a21\u578b\u96be\u4ee5\u76f4\u63a5\u90e8\u7f72\u6216\u8005\u65e0\u6cd5\u6ee1\u8db3\u5b9e\u65f6\u9700\u6c42\u3002\u56e0\u6b64\uff0c\u8f7b\u91cf\u7ea7\u7684\u89c6\u89c9\u9884\u8bad\u7ec3\u6a21\u578b\u7814\u7a76\u53d8\u5f97\u8d8a\u6765\u8d8a\u91cd\u8981\uff0c\u4e14\u5177\u6709\u5f88\u5f3a\u7684\u5b9e\u9645\u5e94\u7528\u4ef7\u503c\u3002\u5c3d\u7ba1\u76ee\u524d\u6709\u4e00\u4e9b\u5de5\u4f5c\u5728\u63a2\u8ba8\u8f7b\u91cf\u7ea7\u6a21\u578b\uff0c\u4f46\u662f\u8fd9\u4e9b\u65b9\u6cd5\u5927\u591a\u662f\u9488\u5bf9\u7279\u5b9a\u4efb\u52a1\u3001\u7279\u5b9a\u7ed3\u6784\u8bbe\u8ba1\u7684\uff0c\u5728\u8bbe\u8ba1\u548c\u8bad\u7ec3\u8fc7\u7a0b\u4e2d\u6ca1\u6709\u8003\u8651\u5230\u6a21\u578b\u7684\u901a\u7528\u6027\uff0c\u5b58\u5728\u8de8\u6570\u636e\u57df\u3001\u8de8\u4efb\u52a1\u7684\u6cdb\u5316\u5c40\u9650\u6027\u3002<\/p>\n\n\n\n
\u8f7b\u91cf\u5316\u89c6\u89c9\u6a21\u578b\u7684\u5173\u952e\u6280\u672f\u7814\u7a76<\/h2>\n\n\n\n
\u4e3a\u4e86\u5b9e\u73b0\u8f7b\u91cf\u5316\u89c6\u89c9\u9884\u8bad\u7ec3\u6a21\u578b\uff0c\u5fae\u8f6f\u7684\u7814\u7a76\u5458\u4eec\u53d1\u73b0\u4e86\u4e24\u5927\u5173\u952e\u95ee\u9898\uff1a1\uff09\u5982\u4f55\u8bbe\u8ba1\u51fa\u901a\u7528\u6027\u66f4\u5f3a\u7684\u8f7b\u91cf\u5316\u6a21\u578b\u7ed3\u6784\uff1f2\uff09\u53d7\u5236\u4e8e\u8f7b\u91cf\u5316\u89c6\u89c9\u9884\u8bad\u7ec3\u6a21\u578b\u7684\u6709\u9650\u5bb9\u91cf\uff0c\u5982\u4f55\u8bbe\u8ba1\u9ad8\u6548\u7684\u9884\u8bad\u7ec3\u65b9\u6cd5\u8ba9\u5c0f\u6a21\u578b\u4e5f\u80fd\u5b66\u4e60\u5230\u5927\u89c4\u6a21\u6570\u636e\u4e2d\u7684\u6709\u6548\u4fe1\u606f\uff1f\u9762\u5bf9\u8fd9\u4e9b\u96be\u9898\uff0c\u7814\u7a76\u5458\u4eec\u901a\u8fc7\u575a\u6301\u4e0d\u61c8\u7684\u7814\u7a76\u548c\u63a2\u7d22\uff0c\u76ee\u524d\u53d6\u5f97\u4e86\u4e00\u4e9b\u9636\u6bb5\u6027\u6210\u679c\u3002<\/p>\n\n\n\n
\u7531\u4e8e\u63d0\u9ad8\u8f7b\u91cf\u5316\u9884\u8bad\u7ec3\u6a21\u578b\u901a\u7528\u6027\u7684\u6838\u5fc3\u5728\u4e8e\u5982\u4f55\u5728\u8d44\u6e90\u53d7\u9650\uff08\u53c2\u6570\u91cf\uff0c\u65f6\u5ef6\u7b49\uff09\u7684\u60c5\u51b5\u4e0b\u5f3a\u5316\u6a21\u578b\u7684\u5b66\u4e60\u80fd\u529b\uff0c\u4f7f\u5176\u80fd\u591f\u66f4\u597d\u5730\u5728\u5927\u89c4\u6a21\u6570\u636e\u4e2d\u5b66\u4e60\u901a\u7528\u7279\u5f81\uff0c\u56e0\u6b64\uff0c\u7814\u7a76\u5458\u4eec\u4ece\u4ee5\u4e0b\u4e09\u4e2a\u89d2\u5ea6\u8fdb\u884c\u4e86\u6df1\u5165\u63a2\u7d22\uff1a<\/p>\n\n\n\n
1. \u8f7b\u91cf\u5316\u6a21\u5757\u8bbe\u8ba1<\/h3>\n\n\n\n
\u8f7b\u91cf\u3001\u4f4e\u5ef6\u65f6\u7684\u6a21\u5757\u662f\u7ec4\u6210\u8f7b\u91cf\u7ea7\u6a21\u578b\u7684\u91cd\u8981\u90e8\u5206\u3002\u5728\u5377\u79ef\u795e\u7ecf\u7f51\u7edc\u4e2d\uff0c\u5177\u6709\u4ee3\u8868\u6027\u7684\u8f7b\u91cf\u7ea7\u6a21\u5757\u6709MobileNet\u7684\u53cd\u5411\u6b8b\u5dee\u6a21\u5757\uff08Inverted Residual Block\uff09\u4ee5\u53ca ShuffleNet \u7684\u901a\u9053\u968f\u673a\u4ea4\u53c9\u5355\u5143\uff08Shuffle Unit\uff09\u3002\u5728\u89c6\u89c9 Transformer \u7ed3\u6784\u4e2d\uff0c\u7531\u4e8e\u56fe\u50cf\u5757\u4e4b\u95f4\u6ce8\u610f\u529b\u7684\u8ba1\u7b97\u6ca1\u6709\u5f88\u597d\u5730\u8003\u8651\u76f8\u5bf9\u4f4d\u7f6e\u7f16\u7801\u4fe1\u606f\uff0c\u56e0\u6b64\u7814\u7a76\u5458\u4eec\u8bbe\u8ba1\u4e86\u5373\u63d2\u5373\u7528\u7684\u8f7b\u91cf\u7ea7\u4e8c\u7ef4\u56fe\u50cf\u76f8\u5bf9\u4f4d\u7f6e\u7f16\u7801\u65b9\u6cd5 iRPE [1]\uff0c\u5b83\u4e0d\u9700\u8981\u4fee\u6539\u4efb\u4f55\u7684\u8bad\u7ec3\u8d85\u53c2\u6570\uff0c\u5c31\u80fd\u63d0\u9ad8\u6a21\u578b\u7684\u6027\u80fd\u3002\u6b64\u5916\uff0c\u9488\u5bf9\u89c6\u89c9 Transformer \u53c2\u6570\u5197\u4f59\u7684\u95ee\u9898\uff0c\u7814\u7a76\u5458\u4eec\u8bbe\u8ba1\u4e86\u6743\u91cd\u591a\u8def\u590d\u7528\uff08Weight Multiplexing\uff09\u6a21\u5757 [2]\u3002\u5982\u56fe2\u6240\u793a\uff0c\u8be5\u65b9\u6cd5\u901a\u8fc7\u591a\u5c42\u6743\u91cd\u590d\u7528\u51cf\u5c11\u6a21\u578b\u53c2\u6570\u7684\u5197\u4f59\u6027\uff0c\u5e76\u4e14\u5f15\u5165\u4e0d\u5171\u4eab\u7684\u7ebf\u6027\u53d8\u6362\uff0c\u63d0\u9ad8\u53c2\u6570\u7684\u591a\u6837\u6027\u3002<\/p>\n\n\n\n <\/p>\n\n\n\n \u7f51\u7edc\u7ed3\u6784\u641c\u7d22\uff08Neural Architecture Search\uff09\u53ef\u4ee5\u4ece\u6a21\u578b\u8bbe\u8ba1\u7a7a\u95f4\u4e2d\u81ea\u52a8\u627e\u5230\u66f4\u52a0\u8f7b\u91cf\u3001\u6027\u80fd\u66f4\u52a0\u4f18\u5f02\u7684\u6a21\u578b\u7ed3\u6784 [3]\u3002\u5728\u5377\u79ef\u795e\u7ecf\u7f51\u7edc\u4e2d\uff0c\u4ee3\u8868\u6027\u5de5\u4f5c\u6709 NASNet \u548c EfficientNet \u7b49\u3002\u5728\u89c6\u89c9 Transformer \u7ed3\u6784\u641c\u7d22\u4e2d\uff0c\u9488\u5bf9\u89c6\u89c9\u6a21\u578b\u4e2d\u7684\u901a\u9053\u5bbd\u5ea6\u3001\u7f51\u7edc\u6df1\u5ea6\u4ee5\u53ca head \u6570\u91cf\u7b49\u591a\u4e2a\u7ef4\u5ea6\uff0c\u7814\u7a76\u5458\u4eec\u5148\u540e\u63d0\u51fa\u4e86 AutoFormer [4] \u548c S3 [5]\uff0c\u5b9e\u73b0\u4e86\u89c6\u89c9\u6a21\u578b\u7684\u52a8\u6001\u53ef\u4f38\u7f29\u8bad\u7ec3\u4e0e\u7ed3\u6784\u641c\u7d22\u3002\u5728\u540c\u6837\u6a21\u578b\u7cbe\u5ea6\u7684\u60c5\u51b5\u4e0b\uff0c\u641c\u7d22\u5f97\u5230\u7684\u65b0\u6a21\u578b\u5177\u6709\u66f4\u5c0f\u7684\u53c2\u6570\u91cf\u548c\u8ba1\u7b97\u91cf\u3002\u503c\u5f97\u6ce8\u610f\u7684\u662f\uff0c\u5728 S3 \u4e2d\uff0c\u7814\u7a76\u5458\u4eec\u5229\u7528 E-T Error [5]\u4ee5\u53ca\u6743\u91cd\u5171\u4eab\u8d85\u7f51\u6765\u6307\u5bfc\u3001\u6539\u8fdb\u641c\u7d22\u7a7a\u95f4\uff0c\u5728\u5f97\u5230\u66f4\u9ad8\u6548\u7684\u6a21\u578b\u7ed3\u6784\u7684\u540c\u65f6\u4e5f\u5206\u6790\u4e86\u641c\u7d22\u7a7a\u95f4\u7684\u6f14\u8fdb\u8fc7\u7a0b\uff0c\u5982\u56fe3\u6240\u793a\u3002\u4e0e\u6b64\u540c\u65f6\uff0c\u6a21\u578b\u7ed3\u6784\u641c\u7d22\u7684\u8fc7\u7a0b\u4e3a\u8f7b\u91cf\u5316\u6a21\u578b\u7684\u8bbe\u8ba1\u63d0\u4f9b\u4e86\u6709\u6548\u7684\u8bbe\u8ba1\u7ecf\u9a8c\u548c\u53c2\u8003\u3002<\/p>\n\n\n\n <\/p>\n\n\n\n \u8f7b\u91cf\u7ea7\u9884\u8bad\u7ec3\u6a21\u578b\u7684\u53e6\u4e00\u96be\u9898\u5728\u4e8e\uff0c\u7531\u4e8e\u6a21\u578b\u5bb9\u91cf\u6709\u9650\uff0c\u96be\u4ee5\u76f4\u63a5\u5b66\u4e60\u5927\u89c4\u6a21\u6570\u636e\u4e2d\u5305\u542b\u7684\u4e30\u5bcc\u4fe1\u606f\u548c\u77e5\u8bc6\u3002\u4e3a\u4e86\u89e3\u51b3\u8fd9\u4e00\u95ee\u9898\uff0c\u7814\u7a76\u5458\u4eec\u63d0\u51fa\u4e86\u5feb\u901f\u9884\u8bad\u7ec3\u84b8\u998f\u65b9\u6848\uff0c\u5c06\u5927\u6a21\u578b\u7684\u77e5\u8bc6\u8fc1\u79fb\u5230\u8f7b\u91cf\u5316\u7684\u5c0f\u6a21\u578b\u4e2d [6]\u3002\u5982\u56fe4\u6240\u793a\uff0c\u548c\u4f20\u7edf\u7684\u5355\u9636\u6bb5\u77e5\u8bc6\u84b8\u998f\u4e0d\u540c\uff0c\u5feb\u901f\u9884\u8bad\u7ec3\u84b8\u998f\u5206\u4e3a\u4e24\u4e2a\u9636\u6bb5\uff1a1\uff09\u538b\u7f29\u5e76\u4fdd\u5b58\u5927\u6a21\u578b\u8bad\u7ec3\u8fc7\u7a0b\u4e2d\u4f7f\u7528\u7684\u6570\u636e\u589e\u5e7f\u4fe1\u606f\u548c\u9884\u6d4b\u4fe1\u606f\uff1b2\uff09\u52a0\u8f7d\u5e76\u6062\u590d\u5927\u6a21\u578b\u7684\u9884\u6d4b\u4fe1\u606f\u548c\u6570\u636e\u589e\u5e7f\u540e\uff0c\u5229\u7528\u5927\u6a21\u578b\u4f5c\u4e3a\u6559\u5e08\uff0c\u901a\u8fc7\u9884\u8bad\u7ec3\u84b8\u998f\u6307\u5bfc\u8f7b\u91cf\u5316\u5b66\u751f\u6a21\u578b\u7684\u5b66\u4e60\u548c\u8bad\u7ec3\u3002\u4e0d\u540c\u4e8e\u526a\u679d\u548c\u91cf\u5316\uff0c\u8be5\u65b9\u6cd5\u5728\u6743\u91cd\u5171\u4eab\u7684\u57fa\u7840\u4e0a\u4f7f\u7528\u4e86\u4e0a\u6587\u4e2d\u63d0\u5230\u7684\u6743\u91cd\u590d\u7528[2]\uff0c\u901a\u8fc7\u5f15\u5165\u8f7b\u91cf\u7ea7\u6743\u91cd\u53d8\u6362\u548c\u84b8\u998f\uff0c\u6210\u529f\u538b\u7f29\u89c6\u89c9\u9884\u8bad\u7ec3\u5927\u6a21\u578b\uff0c\u5f97\u5230\u4e86\u901a\u7528\u6027\u66f4\u5f3a\u7684\u8f7b\u91cf\u7ea7\u6a21\u578b\u3002\u5728\u4e0d\u727a\u7272\u6027\u80fd\u7684\u60c5\u51b5\u4e0b\uff0c\u8be5\u65b9\u6cd5\u53ef\u4ee5\u5c06\u539f\u6709\u5927\u6a21\u578b\u538b\u7f29\u6570\u5341\u500d\u3002<\/p>\n\n\n\n <\/p>\n\n\n\n \u8fd9\u4e00\u7cfb\u5217\u7684\u7814\u7a76\u6210\u679c\uff0c\u4e0d\u4ec5\u5728\u8ba1\u7b97\u673a\u89c6\u89c9\u7684\u9876\u7ea7\u5b66\u672f\u4f1a\u8bae\u4e0a\uff08CVPR\u3001ICCV\u3001ECCV\u3001NeurIPS\u7b49 \uff09\u53d1\u8868\u4e86\u591a\u7bc7\u8bba\u6587[1-6]\uff0c\u4e5f\u901a\u8fc7\u548c\u5fae\u8f6f\u5fc5\u5e94\u7684\u5408\u4f5c\uff0c\u6210\u529f\u5c06\u8f7b\u91cf\u5316\u9884\u8bad\u7ec3\u6a21\u578b\u5e94\u7528\u5230\u4e86\u56fe\u50cf\u641c\u7d22\u4ea7\u54c1\u4e2d\uff0c\u63d0\u9ad8\u4e86\u5b9e\u9645\u4e1a\u52a1\u4e2d\u56fe\u50cf\u548c\u89c6\u9891\u5185\u5bb9\u7406\u89e3\u7684\u80fd\u529b\u3002<\/p>\n\n\n\n \u8f7b\u91cf\u7ea7\u89c6\u89c9\u9884\u8bad\u7ec3\u6a21\u578b\u5728\u5b9e\u9645\u4e2d\u6709\u8bf8\u591a\u7528\u9014\uff0c\u5c24\u5176\u662f\u5728\u5b9e\u65f6\u6027\u8981\u6c42\u9ad8\u6216\u8005\u8d44\u6e90\u53d7\u9650\u7684\u573a\u666f\u4e2d\uff0c \u4f8b\u5982\uff1a\u4e91\u7aef\u89c6\u9891\u5b9e\u65f6\u6e32\u67d3\u548c\u589e\u5f3a\u3001\u7aef\u6d4b\u56fe\u50cf\u3001\u89c6\u9891\u5185\u5bb9\u7406\u89e3\u3002\u8f7b\u91cf\u7ea7\u89c6\u89c9\u6a21\u578b\u5df2\u7ecf\u5728\u667a\u80fd\u96f6\u552e\u3001\u5148\u8fdb\u5236\u9020\u4e1a\u7b49\u9886\u57df\u5c55\u73b0\u51fa\u4e86\u5e7f\u9614\u7684\u5e94\u7528\u524d\u666f\uff0c\u5c06\u6765\u8fd8\u4f1a\u5728\u5143\u5b87\u5b99\u3001\u81ea\u52a8\u9a7e\u9a76\u7b49\u65b0\u5174\u884c\u4e1a\u53d1\u6325\u91cd\u8981\u4f5c\u7528\u3002\u4ee5\u5fae\u8f6f\u5fc5\u5e94\u4ea7\u54c1\u4e2d\u7684\u56fe\u50cf\u5185\u5bb9\u641c\u7d22\u4e3a\u4f8b\uff0c\u4e0b\u9762\u4e3a\u5927\u5bb6\u5c55\u793a\u4e00\u4e0b\u8f7b\u91cf\u5316\u89c6\u89c9\u6a21\u578b\u7684\u5b9e\u9645\u5e94\u7528\u548c\u90e8\u7f72\u3002<\/p>\n\n\n\n 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\u53c2\u8003\u6587\u732e<\/p>\n\n\n\n [1] Rethinking and Improving Relative Position Encoding for Vision Transformer, ICCV 2021.<\/p>\n\n\n\n [2] MiniViT: Compressing Vision Transformers with Weight Multiplexing, CVPR 2022.<\/p>\n\n\n\n [3] Cyclic Differentiable Architecture Search, TPAMI 2022.<\/p>\n\n\n\n [4] AutoFormer: Searching Transformers for Visual Recognition, ICCV 2021.<\/p>\n\n\n\n [5] Searching the Search Space of Vision Transformer, NeurIPS 2021.<\/p>\n\n\n\n [6] TinyViT: Fast Pretraining Distillation for Small Vision Transformers, ECCV 2022.<\/p>\n\n\n\n \u672c\u6587\u4f5c\u8005\uff1a\u5f6d\u539a\u6587\uff0c\u5ef6\u6d69\u7136\uff0c\u674e\u5f3c\u7fc0\uff0c\u5085\u5efa\u9f99\uff0c\u9b4f\u601d\u5b81<\/p>\n","protected":false},"excerpt":{"rendered":" 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\u6700\u8fd1\u51e0\u5e74\uff0c\u6df1\u5ea6\u5b66\u4e60\u5728 ImageNet \u56fe\u50cf\u5206\u7c7b\u4efb\u52a1\u4e0a\u7684\u8fdb\u5c55\u4e3b\u8981\u5f97\u76ca\u4e8e\u5bf9\u89c6\u89c9\u6a21\u578b\u5bb9\u91cf\u7684\u5927\u5e45\u5ea6\u6269\u589e\u3002\u5982\u56fe1\u6240\u793a\uff0c\u77ed\u77ed\u51e0\u5e74\u65f6\u95f4\uff0c\u89c6\u89c9\u9884\u8bad\u7ec3\u6a21\u578b\u7684\u5bb9\u91cf\u6269\u5927\u4e86300\u591a\u500d\uff0c\u4ece4,450\u4e07\u53c2\u6570\u7684 ResNet-101 \u6a21\u578b\uff0c\u8fdb\u5316\u5230\u4e86\u62e5\u6709150\u4ebf\u53c2\u6570\u7684 V-MoE \u6a21\u578b\uff0c\u8fd9\u4e9b\u5927\u578b\u89c6\u89c9\u9884\u8bad\u7ec3\u6a21\u578b\u5728\u56fe\u50cf\u7406\u89e3\u548c\u89c6\u89c9\u5185\u5bb9\u751f\u6210\u7b49\u4efb\u52a1\u4e0a\u90fd\u53d6\u5f97\u4e86\u957f\u8db3\u8fdb\u6b65\u3002 \u65e0\u8bba\u662f\u5fae\u8f6f\u768430\u4ebf\u53c2\u6570 Swin-V2 \u6a21\u578b\uff0c\u8fd8\u662f\u8c37\u6b4c\u53d1\u5e03\u768418\u4ebf\u53c2\u6570 ViT-G\/14 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Unit\uff09\u3002\u5728\u89c6\u89c9 Transformer \u7ed3\u6784\u4e2d\uff0c\u7531\u4e8e\u56fe\u50cf\u5757\u4e4b\u95f4\u6ce8\u610f\u529b\u7684\u8ba1\u7b97\u6ca1\u6709\u5f88\u597d\u5730\u8003\u8651\u76f8\u5bf9\u4f4d\u7f6e\u7f16\u7801\u4fe1\u606f\uff0c\u56e0\u6b64\u7814\u7a76\u5458\u4eec\u8bbe\u8ba1\u4e86\u5373\u63d2\u5373\u7528\u7684\u8f7b\u91cf\u7ea7\u4e8c\u7ef4\u56fe\u50cf\u76f8\u5bf9\u4f4d\u7f6e\u7f16\u7801\u65b9\u6cd5 iRPE [1]\uff0c\u5b83\u4e0d\u9700\u8981\u4fee\u6539\u4efb\u4f55\u7684\u8bad\u7ec3\u8d85\u53c2\u6570\uff0c\u5c31\u80fd\u63d0\u9ad8\u6a21\u578b\u7684\u6027\u80fd\u3002\u6b64\u5916\uff0c\u9488\u5bf9\u89c6\u89c9 Transformer \u53c2\u6570\u5197\u4f59\u7684\u95ee\u9898\uff0c\u7814\u7a76\u5458\u4eec\u8bbe\u8ba1\u4e86\u6743\u91cd\u591a\u8def\u590d\u7528\uff08Weight Multiplexing\uff09\u6a21\u5757 [2]\u3002\u5982\u56fe2\u6240\u793a\uff0c\u8be5\u65b9\u6cd5\u901a\u8fc7\u591a\u5c42\u6743\u91cd\u590d\u7528\u51cf\u5c11\u6a21\u578b\u53c2\u6570\u7684\u5197\u4f59\u6027\uff0c\u5e76\u4e14\u5f15\u5165\u4e0d\u5171\u4eab\u7684\u7ebf\u6027\u53d8\u6362\uff0c\u63d0\u9ad8\u53c2\u6570\u7684\u591a\u6837\u6027\u3002 \u7f51\u7edc\u7ed3\u6784\u641c\u7d22\uff08Neural Architecture Search\uff09\u53ef\u4ee5\u4ece\u6a21\u578b\u8bbe\u8ba1\u7a7a\u95f4\u4e2d\u81ea\u52a8\u627e\u5230\u66f4\u52a0\u8f7b\u91cf\u3001\u6027\u80fd\u66f4\u52a0\u4f18\u5f02\u7684\u6a21\u578b\u7ed3\u6784 [3]\u3002\u5728\u5377\u79ef\u795e\u7ecf\u7f51\u7edc\u4e2d\uff0c\u4ee3\u8868\u6027\u5de5\u4f5c\u6709 NASNet \u548c EfficientNet \u7b49\u3002\u5728\u89c6\u89c9 Transformer \u7ed3\u6784\u641c\u7d22\u4e2d\uff0c\u9488\u5bf9\u89c6\u89c9\u6a21\u578b\u4e2d\u7684\u901a\u9053\u5bbd\u5ea6\u3001\u7f51\u7edc\u6df1\u5ea6\u4ee5\u53ca head \u6570\u91cf\u7b49\u591a\u4e2a\u7ef4\u5ea6\uff0c\u7814\u7a76\u5458\u4eec\u5148\u540e\u63d0\u51fa\u4e86 […]<\/p>\n","protected":false},"author":34512,"featured_media":1070847,"template":"","meta":{"msr-url-field":"","msr-podcast-episode":"","msrModifiedDate":"","msrModifiedDateEnabled":false,"ep_exclude_from_search":false,"_classifai_error":"","msr-content-parent":1012650,"msr_hide_image_in_river":0,"footnotes":""},"research-area":[],"msr-locale":[268881],"msr-post-option":[],"class_list":["post-1069836","msr-blog-post","type-msr-blog-post","status-publish","has-post-thumbnail","hentry","msr-locale-zh_cn"],"msr_assoc_parent":{"id":1012650,"type":"lab"},"_links":{"self":[{"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-blog-post\/1069836","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-blog-post"}],"about":[{"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/types\/msr-blog-post"}],"author":[{"embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/users\/34512"}],"version-history":[{"count":2,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-blog-post\/1069836\/revisions"}],"predecessor-version":[{"id":1070871,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-blog-post\/1069836\/revisions\/1070871"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/media\/1070847"}],"wp:attachment":[{"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/media?parent=1069836"}],"wp:term":[{"taxonomy":"msr-research-area","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/research-area?post=1069836"},{"taxonomy":"msr-locale","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-locale?post=1069836"},{"taxonomy":"msr-post-option","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-post-option?post=1069836"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}![\"\u56fe2\uff1aTransformer](\"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2024\/08\/lightweight-vision-pre-training-2.png\")
2. \u8f7b\u91cf\u5316\u6a21\u578b\u641c\u7d22<\/h3>\n\n\n\n
![\"\u56fe3\uff1a\u8f7b\u91cf\u7ea7\u6a21\u578b\u641c\u7d22\u7a7a\u95f4\u8fdb\u5316\u8fc7\u7a0b\"](\"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2024\/08\/lightweight-vision-pre-training-3-1024x687.png\")
3. \u89c6\u89c9\u5927\u6a21\u578b\u538b\u7f29\u4e0e\u77e5\u8bc6\u8fc1\u79fb<\/h3>\n\n\n\n
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