{"id":1071738,"date":"2024-07-30T18:05:00","date_gmt":"2024-07-31T01:05:00","guid":{"rendered":"https:\/\/www.microsoft.com\/en-us\/research\/?post_type=msr-blog-post&#038;p=1071738"},"modified":"2024-11-21T02:03:09","modified_gmt":"2024-11-21T10:03:09","slug":"new-arrival-in-research-13","status":"publish","type":"msr-blog-post","link":"https:\/\/www.microsoft.com\/en-us\/research\/articles\/new-arrival-in-research-13\/","title":{"rendered":"\u56fe\u50cf\u89e3\u7801\u5668\uff1b\u591a\u5934\u6df7\u5408\u4e13\u5bb6\u7f51\u7edc\uff1b\u89c6\u89c9\u6a21\u578b\u7f8e\u5b66\u5bf9\u9f50\uff1b\u533b\u5b66\u89c6\u89c9\u4efb\u52a1\u9002\u5e94\u57fa\u51c6"},"content":{"rendered":"\n<p>\u7f16\u8005\u6309\uff1a\u6b22\u8fce\u9605\u8bfb\u201c\u79d1\u7814\u4e0a\u65b0\u201d\u680f\u76ee\uff01\u201c\u79d1\u7814\u4e0a\u65b0\u201d\u6c47\u805a\u4e86\u5fae\u8f6f\u4e9a\u6d32\u7814\u7a76\u9662\u6700\u65b0\u7684\u521b\u65b0\u6210\u679c\u4e0e\u79d1\u7814\u52a8\u6001\u3002\u5728\u8fd9\u91cc\uff0c\u4f60\u53ef\u4ee5\u5feb\u901f\u6d4f\u89c8\u7814\u7a76\u9662\u7684\u4eae\u70b9\u8d44\u8baf\uff0c\u4fdd\u6301\u5bf9\u524d\u6cbf\u9886\u57df\u7684\u654f\u9510\u55c5\u89c9\uff0c\u540c\u65f6\u4e5f\u80fd\u627e\u5230\u5148\u8fdb\u5b9e\u7528\u7684\u5f00\u6e90\u5de5\u5177\u3002<\/p>\n\n\n\n<h3 class=\"wp-block-heading\" id=\"01-medvtab-\u5927\u89c4\u6a21\u533b\u5b66\u89c6\u89c9\u4efb\u52a1\u9002\u5e94\u57fa\u51c6\">01. MedVTAB\uff1a\u5927\u89c4\u6a21\u533b\u5b66\u89c6\u89c9\u4efb\u52a1\u9002\u5e94\u57fa\u51c6<\/h3>\n\n\n\n<figure class=\"wp-block-image size-full\"><img loading=\"lazy\" decoding=\"async\" width=\"539\" height=\"193\" src=\"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2024\/08\/new-arrival-in-research-13-1-1.png\" alt=\"A Large-scale Medical Visual Task Adaptation Benchmark\" class=\"wp-image-1071744\" srcset=\"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2024\/08\/new-arrival-in-research-13-1-1.png 539w, https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2024\/08\/new-arrival-in-research-13-1-1-300x107.png 300w, https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2024\/08\/new-arrival-in-research-13-1-1-240x86.png 240w\" sizes=\"auto, (max-width: 539px) 100vw, 539px\" \/><\/figure>\n\n\n\n<p>\u8bba\u6587\u94fe\u63a5\uff1a<a class=\"msr-external-link glyph-append glyph-append-open-in-new-tab glyph-append-xsmall\" href=\"https:\/\/arxiv.org\/abs\/2404.12876\" target=\"_blank\" rel=\"noopener noreferrer\">https:\/\/arxiv.org\/abs\/2404.12876<span class=\"sr-only\"> (opens in new tab)<\/span><\/a><\/p>\n\n\n\n<p>\u8fd1\u5e74\u6765\uff0c\u6df1\u5ea6\u5b66\u4e60\u7684\u663e\u8457\u8fdb\u6b65\u6781\u5927\u5730\u63a8\u52a8\u4e86\u8ba1\u7b97\u673a\u89c6\u89c9\u9886\u57df\u7684\u53d1\u5c55\uff0c\u5c24\u5176\u662f\u89c6\u89c9 Transformer\uff08ViT\uff09 \u7684\u5f15\u5165\u3002\u7ecf\u8fc7\u5927\u89c4\u6a21\u6570\u636e\u96c6\u9884\u8bad\u7ec3\u540e\uff0c\u8fd9\u4e9b\u6a21\u578b\u5728\u5404\u79cd\u89c6\u89c9\u4efb\u52a1\u4e0a\u8868\u73b0\u51fa\u4e86\u5353\u8d8a\u7684\u6027\u80fd\u3002\u901a\u8fc7\u5f15\u5165\u4e13\u95e8\u7684\u53ef\u5b66\u4e60\u5c42\u6216\u6807\u8bb0\uff0cViT \u5728\u7279\u5b9a\u4e0b\u6e38\u4efb\u52a1\u4e2d\u7684\u9002\u5e94\u6027\uff08\u79f0\u4e3a\u89c6\u89c9\u4efb\u52a1\u9002\u5e94\u6027\uff09\u4e3a\u4efb\u52a1\u7279\u5b9a\u6a21\u578b\u7684\u4f18\u5316\u5f00\u8f9f\u4e86\u65b0\u7684\u9014\u5f84\u3002\u8fd9\u79cd\u9002\u5e94\u6027\u5141\u8bb8\u5bf9\u9884\u8bad\u7ec3\u6a21\u578b\u8fdb\u884c\u5fae\u8c03\uff0c\u4ee5\u9002\u5e94\u7279\u5b9a\u4efb\u52a1\u7684\u7ec6\u5fae\u5dee\u522b\uff0c\u4ece\u800c\u63d0\u5347\u6a21\u578b\u7684\u6027\u80fd\u548c\u9002\u7528\u6027\u3002<\/p>\n\n\n\n<p>\u5c3d\u7ba1\u8fd9\u4e9b\u8fdb\u6b65\u663e\u8457\uff0c\u4f46\u89c6\u89c9\u4efb\u52a1\u9002\u5e94\u6027\u5728\u533b\u5b66\u9886\u57df\u7684\u5e94\u7528\u4ecd\u672a\u5f97\u5230\u5145\u5206\u63a2\u7d22\uff0c\u7279\u522b\u662f\u5728\u591a\u79cd\u533b\u5b66\u5f71\u50cf\u6a21\u6001\uff08\u5982\u5f69\u8272\u56fe\u50cf\u3001X \u5149\u7247\u548c CT \u626b\u63cf\uff09\u4e2d\u7684\u5e94\u7528\u3002\u533b\u5b66\u5f71\u50cf\u9886\u57df\u9762\u4e34\u7740\u72ec\u7279\u7684\u6311\u6218\uff0c\u5305\u62ec\u6570\u636e\u7684\u5f02\u8d28\u6027\u3001\u5bf9\u9ad8\u7cbe\u5ea6\u7684\u8feb\u5207\u9700\u6c42\u4ee5\u53ca\u6a21\u578b\u5728\u4e0d\u540c\u5668\u5b98\u548c\u75be\u75c5\u4e4b\u95f4\u7684\u6cdb\u5316\u80fd\u529b\u3002\u6b64\u5916\uff0c\u89c6\u89c9\u4efb\u52a1\u9002\u5e94\u6027\u5728\u7cfb\u7edf\u548c\u5927\u89c4\u6a21\u65b9\u5f0f\u4e0b\u5229\u7528\u533b\u5b66\u548c\u975e\u533b\u5b66\u9886\u57df\u7684\u73b0\u6709\u77e5\u8bc6\u7684\u6f5c\u529b\u5c1a\u672a\u5f97\u5230\u5145\u5206\u7814\u7a76\u3002<\/p>\n\n\n\n<p>\u4e3a\u586b\u8865\u8fd9\u4e00\u7a7a\u767d\uff0c\u7814\u7a76\u5458\u4eec\u5f15\u5165\u4e86\u4e00\u4e2a\u7efc\u5408\u6027\u7684\u533b\u5b66\u89c6\u89c9\u4efb\u52a1\u9002\u5e94\u6027\u57fa\u51c6\u6570\u636e\u96c6 Med-VTAB\uff0c\u5e0c\u671b\u4fc3\u8fdb\u89c6\u89c9\u4efb\u52a1\u9002\u5e94\u6027\u6280\u672f\u5728\u533b\u5b66\u5f71\u50cf\u9886\u57df\u7684\u63a2\u7d22\u548c\u8bc4\u4f30\u3002Med-VTAB \u6db5\u76d6\u4e86168\u4e07\u5f20\u533b\u5b66\u56fe\u50cf\uff0c\u5305\u62ec10\u4e2a\u91cd\u8981\u5668\u5b98\u548c5\u79cd\u5728\u771f\u5b9e\u4e16\u754c\u533b\u5b66\u573a\u666f\u4e2d\u5177\u6709\u6311\u6218\u6027\u7684\u6a21\u6001\uff0c\u4f7f\u5176\u6210\u4e3a\u6700\u5e7f\u6cdb\u7684\u540c\u7c7b\u57fa\u51c6\u4e4b\u4e00\u3002\u8be5\u57fa\u51c6\u65e8\u5728\u63a2\u8ba8\u89c6\u89c9\u4efb\u52a1\u9002\u5e94\u6027\u7b56\u7565\u7684\u6709\u6548\u6027\uff0c\u5e76\u7814\u7a76\u533b\u5b66\u5f71\u50cf\u9002\u5e94\u4e2d\u7684\u6269\u5c55\u89c4\u5f8b\u3002<\/p>\n\n\n\n<figure class=\"wp-block-image aligncenter size-full\"><img loading=\"lazy\" decoding=\"async\" width=\"417\" height=\"295\" src=\"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2024\/08\/new-arrival-in-research-13-2.png\" alt=\"A Large-scale Medical Visual Task Adaptation Benchmark - comparison chart\" class=\"wp-image-1071750\" srcset=\"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2024\/08\/new-arrival-in-research-13-2.png 417w, https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2024\/08\/new-arrival-in-research-13-2-300x212.png 300w, https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2024\/08\/new-arrival-in-research-13-2-240x170.png 240w\" sizes=\"auto, (max-width: 417px) 100vw, 417px\" \/><figcaption class=\"wp-element-caption\">\u56fe1\uff1aMed-VTAB \u6570\u636e\u96c6\u6982\u89c8\u4f5c\u4e3a\u5927\u89c4\u6a21\u7684\u533b\u5b66\u5f71\u50cf\u9002\u5e94\u6027\u57fa\u51c6\u6570\u636e\u96c6\u6982\u89c8<\/figcaption><\/figure>\n\n\n\n<p>\u968f\u540e\uff0c\u7814\u7a76\u5458\u4eec\u8003\u5bdf\u4e86\u533b\u5b66\u63d0\u793a\u8c03\u4f18\u4e2d\u53ef\u8c03\u53c2\u6570\u6570\u91cf\u4e0e\u6a21\u578b\u6027\u80fd\u4e4b\u95f4\u7684\u5173\u7cfb\uff0c\u4ee5\u53ca\u6765\u81ea\u533b\u5b66\u548c\u975e\u533b\u5b66\u9884\u8bad\u7ec3\u6743\u91cd\u7684\u9002\u5e94\u6027\u7684\u6cdb\u5316\u80fd\u529b\u3002\u5e76\u4e14\uff0c\u7814\u7a76\u5458\u4eec\u8fd8\u5bf9\u60a3\u8005 ID \u5206\u5e03\u53d8\u5316\u5f71\u54cd\u9002\u5e94\u6a21\u578b\u6027\u80fd\u8fdb\u884c\u4e86\u7814\u7a76\uff0c\u8fd9\u662f\u533b\u5b66\u5e94\u7528\u4e2d\u6a21\u578b\u5bf9\u65b0\u60a3\u8005\u6570\u636e\u9c81\u68d2\u6027\u81f3\u5173\u91cd\u8981\u7684\u4e00\u4e2a\u65b9\u9762\u3002<\/p>\n\n\n\n<p>\u9664\u4e86\u8fd9\u4e9b\u63a2\u7d22\u4e4b\u5916\uff0c\u7814\u7a76\u5458\u4eec\u8fd8\u63d0\u51fa\u4e86\u4e00\u79cd\u65b0\u7684\u9002\u5e94\u6280\u672f\uff0c\u5373\u95e8\u63a7\u4e13\u5bb6\u6df7\u5408\u9002\u914d\u5668\uff08GMoE-Adapter\uff09\u3002\u5b83\u5229\u7528\u4e86\u6765\u81ea\u533b\u5b66\u548c\u901a\u7528\u89c6\u89c9\u9884\u8bad\u7ec3\u7684\u89c1\u89e3\uff0c\u5728\u533b\u5b66\u89c6\u89c9\u4efb\u52a1\u9002\u5e94\u4e2d\u5b9e\u73b0\u4e86\u6700\u5148\u8fdb\u7684\u6027\u80fd\u3002GMoE-Adapter \u5c55\u793a\u4e86\u7ed3\u5408\u9886\u57df\u7279\u5b9a\u77e5\u8bc6\u4e0e\u6765\u81ea\u591a\u79cd\u6765\u6e90\u7684\u5e7f\u6cdb\u3001\u901a\u7528\u5b66\u4e60\u7684\u6df7\u5408\u9002\u5e94\u7b56\u7565\u7684\u6f5c\u529b\u3002<\/p>\n\n\n\n<figure class=\"wp-block-image aligncenter size-full\"><img loading=\"lazy\" decoding=\"async\" width=\"548\" height=\"218\" src=\"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2024\/08\/new-arrival-in-research-13-3.png\" alt=\"A Large-scale Medical Visual Task Adaptation Benchmark - diagram\" class=\"wp-image-1071753\" srcset=\"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2024\/08\/new-arrival-in-research-13-3.png 548w, https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2024\/08\/new-arrival-in-research-13-3-300x119.png 300w, https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2024\/08\/new-arrival-in-research-13-3-240x95.png 240w\" sizes=\"auto, (max-width: 548px) 100vw, 548px\" \/><figcaption class=\"wp-element-caption\">\u56fe2\uff1a\u95e8\u63a7\u4e13\u5bb6\u6df7\u5408\u9002\u914d\u5668\uff08GMoE-Adapter\uff09\u6846\u67b6\u4e0e\u6807\u51c6\u9002\u914d\u5668\u548c MoE-Adapter \u65b9\u6cd5\u7684\u5bf9\u6bd4<\/figcaption><\/figure>\n\n\n\n<p>\u901a\u8fc7 Med-VTAB \u57fa\u51c6\u548c\u5bf9\u9002\u5e94\u7b56\u7565\u4e0e\u6269\u5c55\u89c4\u5f8b\u7684\u7814\u7a76\uff0c\u8fd9\u9879\u5de5\u4f5c\u5c06\u4e3a\u533b\u5b66\u89c6\u89c9\u4efb\u52a1\u9002\u5e94\u7814\u7a76\u8bbe\u7acb\u65b0\u7684\u6807\u51c6\u3002\u800c\u901a\u8fc7\u5f3a\u8c03\u5b9a\u5236\u9002\u5e94\u6280\u672f\u7684\u91cd\u8981\u6027\u548c\u5bf9\u65b0\u9896\u9002\u5e94\u65b9\u6cd5\u7684\u63a2\u7d22\uff0c\u7814\u7a76\u5458\u4eec\u5e0c\u671b\u53ef\u4ee5\u63d0\u9ad8\u8bca\u65ad\u51c6\u786e\u6027\u4ee5\u53ca\u63d0\u5347\u60a3\u8005\u7684\u6cbb\u7597\u6548\u679c\u3002<\/p>\n\n\n\n<h3 class=\"wp-block-heading\" id=\"02-\u5bf9\u9f50\u89c6\u89c9\u6a21\u578b\u4e0e\u4eba\u7c7b\u7f8e\u5b66-\u7b97\u6cd5\u4e0e\u8bc4\u4f30\">02. \u5bf9\u9f50\u89c6\u89c9\u6a21\u578b\u4e0e\u4eba\u7c7b\u7f8e\u5b66\uff1a\u7b97\u6cd5\u4e0e\u8bc4\u4f30<\/h3>\n\n\n\n<figure class=\"wp-block-image size-full\"><img loading=\"lazy\" decoding=\"async\" width=\"624\" height=\"263\" src=\"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2024\/08\/new-arrival-in-research-13-4.png\" alt=\"Aligning Vision Models with Human Aesthetics in Retrieval: Benchmarks and Algorithms\" class=\"wp-image-1071756\" srcset=\"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2024\/08\/new-arrival-in-research-13-4.png 624w, https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2024\/08\/new-arrival-in-research-13-4-300x126.png 300w, https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2024\/08\/new-arrival-in-research-13-4-240x101.png 240w\" sizes=\"auto, (max-width: 624px) 100vw, 624px\" \/><\/figure>\n\n\n\n<p>\u8bba\u6587\u94fe\u63a5\uff1a<a class=\"msr-external-link glyph-append glyph-append-open-in-new-tab glyph-append-xsmall\" href=\"https:\/\/arxiv.org\/abs\/2406.09397\" target=\"_blank\" rel=\"noopener noreferrer\">https:\/\/arxiv.org\/abs\/2406.09397<span class=\"sr-only\"> (opens in new tab)<\/span><\/a><\/p>\n\n\n\n<p>\u73b0\u6709\u7684\u5927\u89c4\u6a21\u89c6\u89c9-\u8bed\u8a00\u6a21\u578b\u9700\u8981\u5728\u7f51\u7edc\u7ea7\u5927\u89c4\u6a21\u7684\u6570\u636e\u4e0a\u8fdb\u884c\u9884\u8bad\u7ec3\u3002\u4f46\u6570\u636e\u53c2\u5dee\u4e0d\u9f50\uff0c\u5f97\u5230\u7684\u6a21\u578b\u5f80\u5f80\u9762\u4e34\u4ef7\u503c\u5bf9\u9f50\u7684\u95ee\u9898\u3002\u5728\u6587\u672c-\u56fe\u50cf\u68c0\u7d22\u4efb\u52a1\u4e2d\uff0c\u53ef\u80fd\u8868\u73b0\u4e3a\u7f8e\u5b66\u8d28\u91cf\u8fc7\u4f4e\uff0c\u7ec6\u7c92\u5ea6\u8981\u6c42\u4e0d\u7b26\uff0c\u5e26\u6709\u6709\u5bb3\u504f\u89c1\u7b49\u95ee\u9898\u3002\u7531\u4e8e\u8fd9\u7c7b\u95ee\u9898\u4e3b\u89c2\u6027\u8f83\u9ad8\uff0c\u76ee\u524d\u7f3a\u4e4f\u6709\u6548\u7684\u65b9\u5f0f\u8fdb\u884c\u8bc4\u4f30\u548c\u6539\u8fdb\u3002<\/p>\n\n\n\n<p>\u56e0\u6b64\uff0c\u7814\u7a76\u5458\u4eec\u9009\u62e9\u4e86\u6700\u4e3a\u4e3b\u89c2\u7684\u4efb\u52a1\u4e4b\u4e00\u2014\u2014\u7f8e\u5b66\u4f5c\u4e3a\u4ee3\u8868\uff0c\u6765\u7814\u7a76\u4ef7\u503c\u5bf9\u9f50\u7684\u95ee\u9898\u3002\u6839\u636e\u7f8e\u5b66\u7684\u5b9a\u4e49\u548c\u7814\u7a76\uff0c\u7f8e\u5b66\u53ef\u4ee5\u5212\u5206\u4e3a\u4e3b\u89c2\u7684\u7f8e\u5b66\u7406\u89e3\uff08\u8c61\u5f81\u6027\u3001\u6587\u5316\u6027\u7b49\uff09\u548c\u5ba2\u89c2\u7684\u89c6\u89c9\u5438\u5f15\u529b\uff08\u8272\u5f69\u3001\u5206\u8fa8\u7387\u3001\u9971\u548c\u5ea6\u7b49\uff09\uff0c\u5176\u5b83\u5bf9\u9f50\u4efb\u52a1\u4e5f\u7c7b\u4f3c\u3002\u7814\u7a76\u5458\u4eec\u53d1\u73b0\uff0c\u4eba\u7c7b\u5bf9\u7f8e\u5b66\u7684\u7406\u89e3\u7531\u4e8e\u5b58\u5728\u4e8e\u5927\u91cf\u7684\u6587\u732e\u548c\u8457\u4f5c\u4e2d\uff0c\u6240\u4ee5\u80fd\u591f\u88ab\u5927\u8bed\u8a00\u6a21\u578b\u5b66\u4e60\uff0c\u8fdb\u4e00\u6b65\u5730\uff0c\u901a\u8fc7\u4f7f\u7528\u5927\u8bed\u8a00\u6a21\u578b\u4e3a\u7528\u6237\u67e5\u8be2\u3001\u6269\u5c55\u7f8e\u5b66\u671f\u671b\uff0c\u4ece\u800c\u80fd\u6781\u5927\u5730\u63d0\u9ad8\u7f8e\u5b66\u6548\u679c\u3002<\/p>\n\n\n\n<p>\u7814\u7a76\u5458\u4eec\u516c\u5e73\u5730\u8bc4\u4f30\u4e86\u5404\u79cd\u63d0\u793a\u8bcd\u4e0b\u7684\u5927\u8bed\u8a00\u6a21\u578b\u548c\u7f8e\u5b66\u6a21\u578b\uff0c\u8bc1\u660e\u4e86\u5927\u8bed\u8a00\u6a21\u578b\u5e26\u6765\u7f8e\u5b66\u7406\u89e3\u7684\u6709\u6548\u6027\u548c\u7f8e\u5b66\u6a21\u578b\u6240\u5305\u542b\u56fe\u50cf\u5148\u9a8c\u7684\u6709\u6548\u6027\u548c\u4e92\u8865\u6027\u3002\u4e3a\u4e86\u5b9e\u73b0\u7aef\u5230\u7aef\u7684\u9ad8\u6548\u68c0\u7d22\u7cfb\u7edf\uff0c\u7814\u7a76\u5458\u4eec\u63d0\u51fa\u4e00\u4e2a\u57fa\u4e8e\u6392\u5e8f\u7684\u5f3a\u5316\u5b66\u4e60\u7b97\u6cd5\u6765\u5fae\u8c03\u89c6\u89c9\u6a21\u578b\uff0c\u5e76\u4ece\u5927\u8bed\u8a00\u6a21\u578b\u548c\u7f8e\u5b66\u6a21\u578b\u4e2d\u84b8\u998f\u77e5\u8bc6\u3002<\/p>\n\n\n\n<p>\u5728\u8bc4\u4f30\u65f6\uff0c\u7814\u7a76\u5458\u4eec\u9996\u5148\u6784\u5efa\u4e86\u4e00\u4e2a\u7f8e\u5b66\u504f\u597d\u6570\u636e\u96c6 HPIR\uff0c\u7531\u4e8e\u7f8e\u5b66\u7684\u4e3b\u89c2\u6027\uff0c\u6bcf\u6761\u6837\u672c\u90fd\u8981\u7ecf\u8fc730\u6b21\u6807\u6ce8\u7684\u6295\u7968\uff0c\u5e76\u7ed9\u51fa\u7f6e\u4fe1\u5ea6\u3002\u5229\u7528 HPIR\uff0c\u7814\u7a76\u5458\u4eec\u8fd8\u9a8c\u8bc1\u4e86 GPT-4V \u4f5c\u4e3a\u7f8e\u5b66\u8bc4\u5224\u5668\u7684\u53ef\u884c\u6027\u3002\u6700\u7ec8\u7684\u5b9e\u9a8c\u5728 HPIR\u3001GPT-4V \u8bc4\u5224\u548c\u4eba\u7c7b\u8bc4\u5224\u4e09\u4e2a\u673a\u5236\u4e0b\u5171\u540c\u9a8c\u8bc1\uff0c\u7ecf\u8fc7\u7f8e\u5b66\u5bf9\u9f50\u5fae\u8c03\u540e\u7684\u7aef\u5230\u7aef\u68c0\u7d22\u6a21\u578b\u53ef\u4ee5\u548c\u96c6\u6210\u4e86\u5927\u8bed\u8a00\u6a21\u578b\u548c\u7f8e\u5b66\u6a21\u578b\u7684\u591a\u9636\u6bb5\u7cfb\u7edf\u53d6\u5f97\u76f8\u4f3c\u7684\u6210\u7ee9\uff0c\u8fd9\u6781\u5927\u5730\u7b80\u5316\u4e86\u9ad8\u8d28\u91cf\u68c0\u7d22\u7cfb\u7edf\u7684\u590d\u6742\u5ea6\uff0c\u51cf\u8f7b\u4e86\u7ef4\u62a4\u4ee3\u4ef7\u548c\u68c0\u7d22\u65f6\u5ef6\u3002<\/p>\n\n\n\n<figure class=\"wp-block-image aligncenter size-full\"><img loading=\"lazy\" decoding=\"async\" width=\"750\" height=\"351\" src=\"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2024\/08\/new-arrival-in-research-13-5.png\" alt=\"Aligning Vision Models with Human Aesthetics in Retrieval: Benchmarks and Algorithms - diagram\" class=\"wp-image-1071759\" srcset=\"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2024\/08\/new-arrival-in-research-13-5.png 750w, https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2024\/08\/new-arrival-in-research-13-5-300x140.png 300w, https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2024\/08\/new-arrival-in-research-13-5-240x112.png 240w\" sizes=\"auto, (max-width: 750px) 100vw, 750px\" \/><figcaption class=\"wp-element-caption\">\u56fe3\uff1a\u4ece\u5927\u8bed\u8a00\u6a21\u578b\u548c\u7f8e\u5b66\u6a21\u578b\u4e2d\u7528\u5f3a\u5316\u5b66\u4e60\u84b8\u998f\u7f8e\u5b66\u7406\u89e3\u548c\u89c6\u89c9\u5148\u9a8c<\/figcaption><\/figure>\n\n\n\n<h3 class=\"wp-block-heading\" id=\"03-glc-\u57fa\u4e8e\u751f\u6210\u5f0f\u7279\u5f81\u7f16\u7801\u7684\u6781\u4f4e\u7801\u7387\u56fe\u50cf\u7f16\u89e3\u7801\u5668\">03. GLC\uff1a\u57fa\u4e8e\u751f\u6210\u5f0f\u7279\u5f81\u7f16\u7801\u7684\u6781\u4f4e\u7801\u7387\u56fe\u50cf\u7f16\u89e3\u7801\u5668<\/h3>\n\n\n\n<figure class=\"wp-block-image size-full\"><img loading=\"lazy\" decoding=\"async\" width=\"1024\" height=\"249\" src=\"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2024\/08\/new-arrival-in-research-13-6-1024x249-1.png\" alt=\"Generative Latent Coding for Ultra-Low Bitrate Image Compression\" class=\"wp-image-1071762\" srcset=\"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2024\/08\/new-arrival-in-research-13-6-1024x249-1.png 1024w, https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2024\/08\/new-arrival-in-research-13-6-1024x249-1-300x73.png 300w, https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2024\/08\/new-arrival-in-research-13-6-1024x249-1-768x187.png 768w, https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2024\/08\/new-arrival-in-research-13-6-1024x249-1-240x58.png 240w\" sizes=\"auto, (max-width: 1024px) 100vw, 1024px\" \/><\/figure>\n\n\n\n<p>\u8bba\u6587\u94fe\u63a5\uff1a<a class=\"msr-external-link glyph-append glyph-append-open-in-new-tab glyph-append-xsmall\" href=\"https:\/\/openaccess.thecvf.com\/content\/CVPR2024\/papers\/Jia_Generative_Latent_Coding_for_Ultra-Low_Bitrate_Image_Compression_CVPR_2024_paper.pdf\" target=\"_blank\" rel=\"noopener noreferrer\">https:\/\/openaccess.thecvf.com\/content\/CVPR2024\/papers\/Jia_Generative_Latent_Coding_for_Ultra-Low_Bitrate_Image_Compression_CVPR_2024_paper.pdf<span class=\"sr-only\"> (opens in new tab)<\/span><\/a><\/p>\n\n\n\n<p>\u76ee\u524d\u4e3b\u6d41\u7684\u56fe\u50cf\u7f16\u89e3\u7801\u5668\u901a\u5e38\u5728\u50cf\u7d20\u7a7a\u95f4\u76f4\u63a5\u5bf9\u56fe\u50cf\u7f16\u7801\u3002\u7136\u800c\uff0c\u56fe\u50cf\u50cf\u7d20\u7684\u5931\u771f\u5ea6\u91cf\u6307\u6807\u5e76\u975e\u603b\u662f\u4e0e\u4eba\u7c7b\u7684\u89c6\u89c9\u4e00\u81f4\uff0c\u5c24\u5176\u5728\u56fe\u50cf\u7f16\u7801\u5931\u771f\u8f83\u4e3a\u4e25\u91cd\u7684\u6781\u4f4e\u7801\u7387\u538b\u7f29\u573a\u666f\u4e2d\u3002\u56e0\u6b64\uff0c\u5b9e\u73b0\u66f4\u7b26\u5408\u4eba\u7c7b\u89c6\u89c9\u7684\u56fe\u50cf\u7f16\u7801\u662f\u4e00\u9879\u5173\u952e\u6311\u6218\u3002<\/p>\n\n\n\n<p>\u5fae\u8f6f\u4e9a\u6d32\u7814\u7a76\u9662\u7684\u7814\u7a76\u5458\u4eec\u53d1\u73b0\uff0c\u76f8\u6bd4\u4e8e\u539f\u59cb\u50cf\u7d20\uff0c\u751f\u6210\u5f0f VQ-VAE \u7684\u7279\u5f81\u5177\u6709\u66f4\u9ad8\u7684\u4e3b\u89c2\u89c6\u89c9\u4e00\u81f4\u6027\u3001\u66f4\u4f4e\u7684\u71b5\u548c\u66f4\u9ad8\u7684\u9c81\u68d2\u6027\uff0c\u6240\u4ee5\u66f4\u9002\u5408\u9ad8\u4e3b\u89c2\u8d28\u91cf\u7684\u6781\u4f4e\u7801\u7387\u7f16\u7801\u3002\u57fa\u4e8e\u8fd9\u4e00\u89c2\u5bdf\uff0c\u7814\u7a76\u5458\u4eec\u63d0\u51fa\u4e86\u53ef\u4ee5\u5728\u751f\u6210\u5f0f VQ-VAE \u7684\u7279\u5f81\u7a7a\u95f4\u8fdb\u884c\u7f16\u7801\u7684\u6a21\u578b GLC\u3002<\/p>\n\n\n\n<figure class=\"wp-block-image aligncenter size-large\"><img loading=\"lazy\" decoding=\"async\" width=\"1024\" height=\"487\" src=\"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2024\/08\/new-arrival-in-research-13-7-1024x487.png\" alt=\"Generative Latent Coding for Ultra-Low Bitrate Image Compression - visual grid\" class=\"wp-image-1071765\" srcset=\"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2024\/08\/new-arrival-in-research-13-7-1024x487.png 1024w, https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2024\/08\/new-arrival-in-research-13-7-300x143.png 300w, https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2024\/08\/new-arrival-in-research-13-7-768x365.png 768w, https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2024\/08\/new-arrival-in-research-13-7-1536x731.png 1536w, https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2024\/08\/new-arrival-in-research-13-7-240x114.png 240w, https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2024\/08\/new-arrival-in-research-13-7.png 1600w\" sizes=\"auto, (max-width: 1024px) 100vw, 1024px\" \/><figcaption class=\"wp-element-caption\">\u56fe4\uff1aGLC \u4e0e\u4e4b\u524d SOTA \u56fe\u50cf\u7f16\u7801\u5668\u7684\u89c6\u89c9\u8d28\u91cf\u5bf9\u6bd4<\/figcaption><\/figure>\n\n\n\n<p>\u5177\u4f53\u6765\u8bf4\uff0cGLC \u9996\u5148\u4f7f\u7528 VQ-VAE \u7684\u7f16\u7801\u5668\u5c06\u56fe\u50cf\u7f16\u7801\u4e3a\u751f\u6210\u6027\u7279\u5f81\uff0c\u7136\u540e\u901a\u8fc7\u53d8\u6362\u7f16\u7801\u7f51\u7edc\u5bf9\u8fd9\u4e9b\u7279\u5f81\u8fdb\u884c\u7f16\u7801\uff0c\u6700\u540e\u5c06\u89e3\u7801\u7684\u7279\u5f81\u901a\u8fc7 VQ-VAE \u7684\u89e3\u7801\u5668\u91cd\u5efa\u4e3a\u56fe\u50cf\u3002\u5728\u7f16\u7801\u56fe\u50cf\u65f6\uff0cGLC \u4e0d\u9700\u8981\u4f7f\u7528 VQ \u7f16\u7801\uff0c\u800c\u662f\u8bbe\u8ba1\u4e86\u4e00\u4e2a\u53d8\u6362\u7f16\u7801\u7f51\u7edc\u7528\u4e8e\u7279\u5f81\u538b\u7f29\u3002\u8fd9\u79cd\u8bbe\u8ba1\u4e0d\u4ec5\u63d0\u9ad8\u4e86 GLC \u7684\u538b\u7f29\u7387\uff0c\u8fd8\u4f7f\u5176\u53ef\u4ee5\u652f\u6301\u53ef\u53d8\u7801\u7387\u7f16\u7801\u3002<\/p>\n\n\n\n<p>\u4e3a\u4e86\u63d0\u9ad8\u538b\u7f29\u6027\u80fd\uff0cGLC \u5728\u53d8\u6362\u7f16\u7801\u7684\u8fb9\u4fe1\u606f\u7f16\u7801\u4e2d\u8bbe\u8ba1\u4e86\u4e00\u79cd\u57fa\u4e8e\u77e2\u91cf\u7801\u672c\u7684\u5148\u9a8c\u6a21\u578b\u3002\u4e0e\u4f20\u7edf\u7684\u53ef\u5206\u79bb\u5148\u9a8c\u76f8\u6bd4\uff0c\u8fd9\u79cd\u5148\u9a8c\u80fd\u591f\u4ee5\u66f4\u4f4e\u7684\u7801\u7387\u7f16\u7801\u66f4\u5f3a\u7684\u8bed\u4e49\u4fe1\u606f\u3002GLC \u8fd8\u5728\u8bad\u7ec3\u4e2d\u4f7f\u7528\u4e86\u4e00\u4e2a\u8f85\u52a9\u7f51\u7edc\uff0c\u6839\u636e\u89e3\u7801\u7279\u5f81\u9884\u6d4b\u539f\u56fe\u6240\u5bf9\u5e94\u7684 VQ \u7d22\u5f15\uff0c\u4ece\u800c\u63d0\u9ad8\u89e3\u7801\u7279\u5f81\u4e0e\u539f\u56fe\u7684\u8bed\u4e49\u4e00\u81f4\u6027\u3002<\/p>\n\n\n\n<p>\u5b9e\u9a8c\u7ed3\u679c\u8868\u660e\uff0cGLC \u5728\u591a\u4e2a\u6d4b\u8bd5\u57fa\u51c6\u4e2d\u5b9e\u73b0\u4e86\u6700\u9ad8\u7684\u538b\u7f29\u6027\u80fd\u3002GLC \u53ef\u4ee5\u4ee5\u5e73\u5747\u6bcf\u50cf\u7d200.03\u6bd4\u7279\u7684\u6781\u4f4e\u538b\u7f29\u7387\u5b9e\u73b0\u9ad8\u8d28\u91cf\u7684\u56fe\u50cf\u538b\u7f29\u3002\u4e0e\u57fa\u4e8e\u50cf\u7d20\u7a7a\u95f4\u538b\u7f29\u7684 SOTA \u7f16\u7801\u5668 MS-ILLM \u76f8\u6bd4\uff0cGLC \u5728\u76f8\u540c\u7684 FID \u6307\u6807\u4e0b\u8282\u7701\u4e86\u8d85\u8fc745%\u7684\u6bd4\u7279\u3002\u53e6\u5916\uff0c\u901a\u8fc7\u5229\u7528\u5176\u7279\u5f81\u7a7a\u95f4\uff0cGLC \u53ef\u4ee5\u5728\u538b\u7f29\u56fe\u50cf\u7684\u540c\u65f6\u5b9e\u73b0\u56fe\u50cf\u6062\u590d\u3001\u98ce\u683c\u8fc1\u79fb\u7b49\u529f\u80fd\u3002<\/p>\n\n\n\n<h3 class=\"wp-block-heading\" id=\"04-mh-moe-\u591a\u5934\u6df7\u5408\u4e13\u5bb6\u7f51\u7edc\">04. MH-MoE\uff1a\u591a\u5934\u6df7\u5408\u4e13\u5bb6\u7f51\u7edc<\/h3>\n\n\n\n<figure class=\"wp-block-image size-full\"><img loading=\"lazy\" decoding=\"async\" width=\"515\" height=\"141\" src=\"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2024\/08\/new-arrival-in-research-13-8.png\" alt=\"Multi-Head Mixture-of-Experts\" class=\"wp-image-1071768\" srcset=\"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2024\/08\/new-arrival-in-research-13-8.png 515w, https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2024\/08\/new-arrival-in-research-13-8-300x82.png 300w, https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2024\/08\/new-arrival-in-research-13-8-240x66.png 240w\" sizes=\"auto, (max-width: 515px) 100vw, 515px\" \/><\/figure>\n\n\n\n<p>\u8bba\u6587\u94fe\u63a5\uff1a<a class=\"msr-external-link glyph-append glyph-append-open-in-new-tab glyph-append-xsmall\" href=\"https:\/\/arxiv.org\/abs\/2404.15045\" target=\"_blank\" rel=\"noopener noreferrer\">https:\/\/arxiv.org\/abs\/2404.15045<span class=\"sr-only\"> (opens in new tab)<\/span><\/a><\/p>\n\n\n\n<p>\u8fdb\u4e00\u6b65\u63d0\u5347\u5982\u5927\u578b\u8bed\u8a00\u6a21\u578b\uff08LLMs\uff09\u548c\u5927\u578b\u591a\u6a21\u6001\u6a21\u578b\uff08LMMs\uff09\u7b49\u5927\u578b\u5bb9\u91cf\u6a21\u578b\uff08large capacity models\uff09\u7684\u6027\u80fd\uff0c\u6709\u4e00\u4e2a\u53ef\u9760\u7684\u65b9\u6cd5\u5c31\u662f\u901a\u8fc7\u589e\u52a0\u53c2\u6570\u6570\u91cf\u6765\u6269\u5c55\u5b83\u4eec\u3002\u7136\u800c\uff0c\u8fd9\u4e9b\u6a21\u578b\u7684\u5e9e\u5927\u5c3a\u5bf8\u663e\u8457\u964d\u4f4e\u4e86\u63a8\u7406\u901f\u5ea6\uff0c\u8fdb\u4e00\u6b65\u9650\u5236\u4e86\u5b83\u4eec\u7684\u5b9e\u7528\u6027\u3002\u5728\u6b64\u80cc\u666f\u4e0b\uff0c\u7a00\u758f\u6df7\u5408\u4e13\u5bb6\uff08SMoE\uff09\u7684\u65b9\u6cd5\u88ab\u63d0\u51fa\uff0c\u5b83\u5728\u51cf\u8f7b\u8ba1\u7b97\u6210\u672c\u7684\u540c\u65f6\u4fc3\u8fdb\u4e86\u6a21\u578b\u7684\u53ef\u6269\u5c55\u6027\uff0c\u4f46\u4ecd\u7136\u9762\u4e34\u4e13\u5bb6\u6fc0\u6d3b\u7387\u4f4e\u3001\u7f3a\u4e4f\u7ec6\u7c92\u5ea6\u7684\u5206\u6790\u80fd\u529b\u7b49\u7f3a\u70b9\u3002<\/p>\n\n\n\n<p>\u56e0\u6b64\uff0c\u5fae\u8f6f\u4e9a\u6d32\u7814\u7a76\u9662\u7684\u7814\u7a76\u5458\u4eec\u63d0\u51fa\u4e86\u4e00\u4e2a\u540d\u4e3a\u591a\u5934\u6df7\u5408\u4e13\u5bb6\u7f51\u7edc\uff08Multi-Head Mixture of Experts, MH-MoE\uff09\u7684\u9ad8\u6548\u53d8\u4f53\u7ed3\u6784\u6765\u7f13\u89e3\u4e0a\u8ff0\u95ee\u9898\u3002\u591a\u5934\u6df7\u5408\u4e13\u5bb6\u7f51\u7edc\u91c7\u7528\u591a\u5934\u673a\u5236\u5c06\u6bcf\u4e2a\u8f93\u5165\u7684\u4ee4\u724c\u5206\u5272\u6210\u591a\u4e2a\u5b50\u4ee4\u724c\uff0c\u8fd9\u4e9b\u5b50\u4ee4\u724c\u968f\u540e\u4f1a\u88ab\u5206\u914d\u7ed9\u4e0d\u540c\u7684\u4e13\u5bb6\u7f51\u7edc\u5e76\u884c\u5904\u7406\uff0c\u6700\u7ec8\u65e0\u7f1d\u5730\u91cd\u65b0\u6574\u5408\u56de\u539f\u59cb\u4ee4\u724c\u5f62\u5f0f\u3002<\/p>\n\n\n\n<figure class=\"wp-block-image aligncenter size-large\"><img loading=\"lazy\" decoding=\"async\" width=\"1024\" height=\"242\" src=\"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2024\/08\/new-arrival-in-research-13-9-1024x242.png\" alt=\"Multi-Head Mixture-of-Experts - inputs diagram\" class=\"wp-image-1071771\" srcset=\"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2024\/08\/new-arrival-in-research-13-9-1024x242.png 1024w, https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2024\/08\/new-arrival-in-research-13-9-300x71.png 300w, https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2024\/08\/new-arrival-in-research-13-9-768x181.png 768w, https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2024\/08\/new-arrival-in-research-13-9-240x57.png 240w, https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2024\/08\/new-arrival-in-research-13-9.png 1432w\" sizes=\"auto, (max-width: 1024px) 100vw, 1024px\" \/><figcaption class=\"wp-element-caption\">\u56fe5\uff1aMH-MoE \u5728\u89c6\u89c9\u548c\u8bed\u8a00\u6570\u636e\u4e0a\u7684\u5de5\u4f5c\u6d41<\/figcaption><\/figure>\n\n\n\n<p>MH-MoE \u6709\u5982\u4e0b\u4f18\u70b9\uff1a<\/p>\n\n\n\n<p>\u66f4\u9ad8\u7684\u4e13\u5bb6\u6fc0\u6d3b\u6548\u7387\u3002\u5982\u56fe6\u6240\u793a\uff0cSMoE \u6709\u8bb8\u591a\u672a\u88ab\u6fc0\u6d3b\u7684\u4e13\u5bb6\uff08\u6697\u8272\uff09\uff0c\u800c MH-MoE \u5219\u663e\u8457\u63d0\u9ad8\u4e86\u8fd9\u4e9b\u4e13\u5bb6\u7684\u4f7f\u7528\u7387\uff0c\u8fbe90.71%\u3002<\/p>\n\n\n\n<figure class=\"wp-block-image aligncenter size-full\"><img loading=\"lazy\" decoding=\"async\" width=\"766\" height=\"397\" src=\"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2024\/08\/new-arrival-in-research-13-10.png\" alt=\"Multi-Head Mixture-of-Experts - layers comparison\" class=\"wp-image-1071774\" srcset=\"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2024\/08\/new-arrival-in-research-13-10.png 766w, https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2024\/08\/new-arrival-in-research-13-10-300x155.png 300w, https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2024\/08\/new-arrival-in-research-13-10-240x124.png 240w\" sizes=\"auto, (max-width: 766px) 100vw, 766px\" \/><figcaption class=\"wp-element-caption\">\u56fe6\uff1a\u7a00\u758f\u6df7\u5408\u4e13\u5bb6\u7f51\u7edc\u5c42\uff08\u5de6\uff09\u548c\u591a\u5934\u6df7\u5408\u4e13\u5bb6\u7f51\u7edc\u5c42\uff08\u53f3\uff09<\/figcaption><\/figure>\n\n\n\n<p>\u66f4\u7cbe\u7ec6\u7684\u7406\u89e3\u80fd\u529b\u3002\u5982\u56fe7\u6240\u793a\uff0c\u5b50\u7b26\u53f7\u88ab MH-MoE \u5206\u914d\u7ed9\u4e86\u66f4\u591a\u4e0d\u540c\u7684\u4e13\u5bb6\uff08\u4eae\u533a\uff09\uff0c\u4f7f\u4e0d\u540c\u4e13\u5bb6\u80fd\u591f\u5171\u540c\u5173\u6ce8\u6765\u81ea\u4e0d\u540c\u8868\u5f81\u7a7a\u95f4\u7684\u4fe1\u606f\uff0c\u6700\u7ec8\u5b9e\u73b0\u66f4\u597d\u7684\u7ec6\u7c92\u5ea6\u7406\u89e3\u80fd\u529b\u3002<\/p>\n\n\n\n<figure class=\"wp-block-image aligncenter size-full\"><img loading=\"lazy\" decoding=\"async\" width=\"1025\" height=\"528\" src=\"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2024\/08\/new-arrival-in-research-13-11.png\" alt=\"Multi-Head Mixture-of-Experts - side-by-side images for RGB Input and Sub-tokens Assign\" class=\"wp-image-1071777\" srcset=\"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2024\/08\/new-arrival-in-research-13-11.png 1025w, https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2024\/08\/new-arrival-in-research-13-11-300x155.png 300w, https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2024\/08\/new-arrival-in-research-13-11-768x396.png 768w, https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2024\/08\/new-arrival-in-research-13-11-240x124.png 240w\" sizes=\"auto, (max-width: 1025px) 100vw, 1025px\" \/><figcaption class=\"wp-element-caption\">\u56fe7\uff1aMH-MoE \u5bf9\u5b50\u7b26\u53f7\u7684\u5206\u914d\uff0c\u4eae\u533a-\u5206\u914d\u7ed9\u4e86\u4e0d\u540c\u4e13\u5bb6\uff0c\u6697\u533a-\u5206\u914d\u7ed9\u4e86\u76f8\u540c\u4e13\u5bb6\u3002<\/figcaption><\/figure>\n\n\n\n<p>\u9664\u6b64\u4e4b\u5916\uff0cMH-MoE 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\u8bba\u6587\u94fe\u63a5\uff1ahttps:\/\/arxiv.org\/abs\/2404.12876 (opens in new tab) \u8fd1\u5e74\u6765\uff0c\u6df1\u5ea6\u5b66\u4e60\u7684\u663e\u8457\u8fdb\u6b65\u6781\u5927\u5730\u63a8\u52a8\u4e86\u8ba1\u7b97\u673a\u89c6\u89c9\u9886\u57df\u7684\u53d1\u5c55\uff0c\u5c24\u5176\u662f\u89c6\u89c9 Transformer\uff08ViT\uff09 \u7684\u5f15\u5165\u3002\u7ecf\u8fc7\u5927\u89c4\u6a21\u6570\u636e\u96c6\u9884\u8bad\u7ec3\u540e\uff0c\u8fd9\u4e9b\u6a21\u578b\u5728\u5404\u79cd\u89c6\u89c9\u4efb\u52a1\u4e0a\u8868\u73b0\u51fa\u4e86\u5353\u8d8a\u7684\u6027\u80fd\u3002\u901a\u8fc7\u5f15\u5165\u4e13\u95e8\u7684\u53ef\u5b66\u4e60\u5c42\u6216\u6807\u8bb0\uff0cViT 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\u626b\u63cf\uff09\u4e2d\u7684\u5e94\u7528\u3002\u533b\u5b66\u5f71\u50cf\u9886\u57df\u9762\u4e34\u7740\u72ec\u7279\u7684\u6311\u6218\uff0c\u5305\u62ec\u6570\u636e\u7684\u5f02\u8d28\u6027\u3001\u5bf9\u9ad8\u7cbe\u5ea6\u7684\u8feb\u5207\u9700\u6c42\u4ee5\u53ca\u6a21\u578b\u5728\u4e0d\u540c\u5668\u5b98\u548c\u75be\u75c5\u4e4b\u95f4\u7684\u6cdb\u5316\u80fd\u529b\u3002\u6b64\u5916\uff0c\u89c6\u89c9\u4efb\u52a1\u9002\u5e94\u6027\u5728\u7cfb\u7edf\u548c\u5927\u89c4\u6a21\u65b9\u5f0f\u4e0b\u5229\u7528\u533b\u5b66\u548c\u975e\u533b\u5b66\u9886\u57df\u7684\u73b0\u6709\u77e5\u8bc6\u7684\u6f5c\u529b\u5c1a\u672a\u5f97\u5230\u5145\u5206\u7814\u7a76\u3002 \u4e3a\u586b\u8865\u8fd9\u4e00\u7a7a\u767d\uff0c\u7814\u7a76\u5458\u4eec\u5f15\u5165\u4e86\u4e00\u4e2a\u7efc\u5408\u6027\u7684\u533b\u5b66\u89c6\u89c9\u4efb\u52a1\u9002\u5e94\u6027\u57fa\u51c6\u6570\u636e\u96c6 Med-VTAB\uff0c\u5e0c\u671b\u4fc3\u8fdb\u89c6\u89c9\u4efb\u52a1\u9002\u5e94\u6027\u6280\u672f\u5728\u533b\u5b66\u5f71\u50cf\u9886\u57df\u7684\u63a2\u7d22\u548c\u8bc4\u4f30\u3002Med-VTAB \u6db5\u76d6\u4e86168\u4e07\u5f20\u533b\u5b66\u56fe\u50cf\uff0c\u5305\u62ec10\u4e2a\u91cd\u8981\u5668\u5b98\u548c5\u79cd\u5728\u771f\u5b9e\u4e16\u754c\u533b\u5b66\u573a\u666f\u4e2d\u5177\u6709\u6311\u6218\u6027\u7684\u6a21\u6001\uff0c\u4f7f\u5176\u6210\u4e3a\u6700\u5e7f\u6cdb\u7684\u540c\u7c7b\u57fa\u51c6\u4e4b\u4e00\u3002\u8be5\u57fa\u51c6\u65e8\u5728\u63a2\u8ba8\u89c6\u89c9\u4efb\u52a1\u9002\u5e94\u6027\u7b56\u7565\u7684\u6709\u6548\u6027\uff0c\u5e76\u7814\u7a76\u533b\u5b66\u5f71\u50cf\u9002\u5e94\u4e2d\u7684\u6269\u5c55\u89c4\u5f8b\u3002 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\u9664\u4e86\u8fd9\u4e9b\u63a2\u7d22\u4e4b\u5916\uff0c\u7814\u7a76\u5458\u4eec\u8fd8\u63d0\u51fa\u4e86\u4e00\u79cd\u65b0\u7684\u9002\u5e94\u6280\u672f\uff0c\u5373\u95e8\u63a7\u4e13\u5bb6\u6df7\u5408\u9002\u914d\u5668\uff08GMoE-Adapter\uff09\u3002\u5b83\u5229\u7528\u4e86\u6765\u81ea\u533b\u5b66\u548c\u901a\u7528\u89c6\u89c9\u9884\u8bad\u7ec3\u7684\u89c1\u89e3\uff0c\u5728\u533b\u5b66\u89c6\u89c9\u4efb\u52a1\u9002\u5e94\u4e2d\u5b9e\u73b0\u4e86\u6700\u5148\u8fdb\u7684\u6027\u80fd\u3002GMoE-Adapter \u5c55\u793a\u4e86\u7ed3\u5408\u9886\u57df\u7279\u5b9a\u77e5\u8bc6\u4e0e\u6765\u81ea\u591a\u79cd\u6765\u6e90\u7684\u5e7f\u6cdb\u3001\u901a\u7528\u5b66\u4e60\u7684\u6df7\u5408\u9002\u5e94\u7b56\u7565\u7684\u6f5c\u529b\u3002 \u901a\u8fc7 Med-VTAB \u57fa\u51c6\u548c\u5bf9\u9002\u5e94\u7b56\u7565\u4e0e\u6269\u5c55\u89c4\u5f8b\u7684\u7814\u7a76\uff0c\u8fd9\u9879\u5de5\u4f5c\u5c06\u4e3a\u533b\u5b66\u89c6\u89c9\u4efb\u52a1\u9002\u5e94\u7814\u7a76\u8bbe\u7acb\u65b0\u7684\u6807\u51c6\u3002\u800c\u901a\u8fc7\u5f3a\u8c03\u5b9a\u5236\u9002\u5e94\u6280\u672f\u7684\u91cd\u8981\u6027\u548c\u5bf9\u65b0\u9896\u9002\u5e94\u65b9\u6cd5\u7684\u63a2\u7d22\uff0c\u7814\u7a76\u5458\u4eec\u5e0c\u671b\u53ef\u4ee5\u63d0\u9ad8\u8bca\u65ad\u51c6\u786e\u6027\u4ee5\u53ca\u63d0\u5347\u60a3\u8005\u7684\u6cbb\u7597\u6548\u679c\u3002 \u8bba\u6587\u94fe\u63a5\uff1ahttps:\/\/arxiv.org\/abs\/2406.09397 (opens in new tab) 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