{"id":2232,"date":"2023-07-17T09:16:44","date_gmt":"2023-07-17T01:16:44","guid":{"rendered":""},"modified":"2023-07-17T09:16:44","modified_gmt":"2023-07-17T01:16:44","slug":"","status":"publish","type":"post","link":"http:\/\/www.idea2003.com\/dongtai\/2232.html","title":{"rendered":"\u6bd4Meta\u300c\u5206\u5272\u4e00\u5207AI\u300d\u66f4\u5168\u80fd\uff01\u6e2f\u79d1\u5927\u7248\u56fe\u50cf\u5206\u5272AI\u6765\u4e86\uff1a\u5b9e\u73b0\u66f4\u5f3a\u7c92\u5ea6\u548c\u8bed\u4e49\u529f\u80fd"},"content":{"rendered":"<blockquote>\n<p>\u58f0\u660e:\u672c\u6587\u6765\u81ea\u4e8e\u5fae\u4fe1\u516c\u4f17\u53f7 \u91cf\u5b50\u4f4d\uff08ID:QbitAI\uff09\uff0c<a href=\"http:\/\/www.idea2003.com\" target=\"_blank\" target=\"_blank\"><span>Semantic-SAM<\/span><\/a>\u56e2\u961f\u6295\u7a3f\uff0c\u6388\u6743\u7ad9\u957f\u4e4b\u5bb6\u8f6c\u8f7d\u53d1\u5e03<span style=\"font-weight: bold; text-indent: 2em;\">\u3002<\/span><\/p>\n<\/blockquote>\n<p>\u6bd4Meta\u201c\u5206\u5272\u4e00\u5207\u201d\u7684SAM\u66f4<strong>\u5168\u80fd<\/strong>\u7684\u56fe\u50cf\u5206\u5272AI\uff0c\u6765\u4e86!<\/p>\n<p>\u6a21\u578b\u540d\u4e3a<strong>Semantic-SAM<\/strong>\uff0c\u987e\u540d\u601d\u4e49\uff0c\u5728\u5b8c\u5168\u590d\u73b0SAM\u5206\u5272\u6548\u679c\u7684\u57fa\u7840\u4e0a\uff0c\u8fd9\u4e2aAI\u8fd8\u5177\u6709\u4e24\u5927\u7279\u70b9:<\/p>\n<ul>\n<li>\n<p>\u8bed\u4e49\u611f\u77e5:\u6a21\u578b\u80fd\u591f\u7ed9\u5206\u5272\u51fa\u7684\u5b9e\u4f53\u63d0\u4f9b\u8bed\u4e49\u6807\u7b7e<\/p>\n<\/li>\n<li>\n<p>\u7c92\u5ea6\u4e30\u5bcc:\u6a21\u578b\u80fd\u591f\u5206\u5272\u4ece\u7269\u4f53\u5230\u90e8\u4ef6\u7684\u4e0d\u540c\u7c92\u5ea6\u7ea7\u522b\u7684\u5b9e\u4f53<\/p>\n<\/li>\n<\/ul>\n<p style=\"text-align:center\">\n<p>\u7528\u4f5c\u8005\u81ea\u5df1\u7684\u8bdd\u8bf4:<\/p>\n<blockquote>\n<p>Semantic-SAM\uff0c\u5728\u591a\u4e2a\u7c92\u5ea6\uff08granularity\uff09\u4e0a\u5206\u5272(segment)\u548c\u8bc6\u522b(recognize)\u7269\u4f53\u7684\u901a\u7528\u56fe\u50cf\u5206\u5272\u6a21\u578b\u3002<\/p>\n<p>\u636e\u6211\u4eec\u6240\u77e5\uff0c\u6211\u4eec\u7684\u5de5\u4f5c\u662f\u5728 SA-1B\u6570\u636e\u96c6\u3001\u901a\u7528\u5206\u5272\u6570\u636e\u96c6\uff08COCO\u7b49\uff09\u548c\u90e8\u4ef6\u5206\u5272\u6570\u636e\u96c6(PASCAL Part\u7b49)\u4e0a\u8054\u5408\u8bad\u7ec3\u6a21\u578b\u7684<span class=\"spamTxt\">\u9996\u6b21<\/span>\u5c1d\u8bd5\uff0c\u5e76\u7cfb\u7edf\u7814\u7a76\u4e86\u5728SA-1B \u4e0a\u5b9a\u4e49\u7684\u4ea4\u4e92\u5206\u5272\u4efb\u52a1(promptable segmentation)\u548c\u5176\u4ed6\u5206\u5272\u4efb\u52a1(\u4f8b\u5982\uff0c\u5168\u666f\u5206\u5272\u548c\u90e8\u4ef6\u5206\u5272)\u4e0a\u591a\u4efb\u52a1\u8054\u5408\u8bad\u7ec3\u7684\u76f8\u4e92\u4fc3\u8fdb\u4f5c\u7528\u3002<\/p>\n<\/blockquote>\n<p>\u8bba\u6587\u6765\u81ea\u9999\u6e2f\u79d1\u6280\u5927\u5b66\u3001\u5fae\u8f6f\u7814\u7a76\u9662\u3001IDEA\u7814\u7a76\u9662\u3001\u9999\u6e2f\u5927\u5b66\u3001\u5a01\u65af\u5eb7\u661f\u5927\u5b66\u9ea6\u8fea\u900a\u5206\u6821\u548c\u6e05\u534e\u5927\u5b66\u7b49\u7814\u7a76\u5355\u4f4d\u3002<\/p>\n<p>\u5177\u4f53\u8be6\u60c5\uff0c\u4e00\u8d77\u6765\u770b~<\/p>\n<ul>\n<li>\n<p><strong>\u8bba\u6587\u5730\u5740<\/strong>:https:\/\/arxiv.org\/abs\/2307.04767<\/p>\n<\/li>\n<li>\n<p><strong>\u4ee3\u7801\u5730\u5740<\/strong>:https:\/\/github.com\/UX-Decoder\/Semantic-SAM<\/p>\n<\/li>\n<li>\n<p><strong>\u5728\u7ebfDemo\u5730\u5740<\/strong>:\u4e0a\u8ff0\u4ee3\u7801\u4ed3\u5e93\u7684\u9996\u9875<\/p>\n<\/li>\n<\/ul>\n<p>\uff08\u4ee5\u4e0b\u4e3a\u8bba\u6587\u4f5c\u8005\u6295\u7a3f\uff09<\/p>\n<h2>\u7b80\u4ecb<\/h2>\n<p>Semantic-SAM\u53ef\u4ee5\u5b8c\u5168\u590d\u73b0SAM\u7684\u5206\u5272\u6548\u679c\u5e76\u8fbe\u5230\u66f4\u597d\u7684\u7c92\u5ea6\u548c\u8bed\u4e49\u529f\u80fd\uff0c\u662f\u4e00\u4e2a\u5f3a\u5927\u7684vision foundation model\u3002Semantic-SAM \u652f\u6301\u5e7f\u6cdb\u7684\u5206\u5272\u4efb\u52a1\u53ca\u5176\u76f8\u5173\u5e94\u7528\uff0c\u5305\u62ec:<\/p>\n<ul>\n<li>\n<p>Generic Segmentation \u901a\u7528\u5206\u5272\uff08\u5168\u666f\/\u8bed\u4e49\/\u5b9e\u4f8b\u5206\u5272\uff09<\/p>\n<\/li>\n<li>\n<p>Part Segmentation \u7ec6\u7c92\u5ea6\u5206\u5272<\/p>\n<\/li>\n<li>\n<p>Interactive Segmentation with Multi-Granularity Semantics \u5177\u6709\u591a\u7c92\u5ea6\u8bed\u4e49\u7684\u4ea4\u4e92\u5f0f\u5206\u5272<\/p>\n<\/li>\n<li>\n<p>Multi-Granularity Image Editing \u591a\u7c92\u5ea6\u56fe\u50cf\u7f16\u8f91<\/p>\n<\/li>\n<\/ul>\n<p style=\"text-align:center\">\n<p><span style=\"color: rgb(53, 53, 53);\">1.1\u590d\u73b0SAM<\/span><\/p>\n<p>SAM\u662fSemantic-SAM\u7684\u5b50\u4efb\u52a1\u3002\u6211\u4eec\u5f00\u6e90\u4e86\u590d\u73b0SAM\u6548\u679c\u7684\u4ee3\u7801\uff0c\u8fd9\u662f\u5f00\u6e90\u793e\u533a<span class=\"spamTxt\">\u7b2c\u4e00<\/span>\u4efd\u57fa\u4e8eDETR\u7ed3\u6784\u7684SAM\u590d\u73b0\u4ee3\u7801\u3002<\/p>\n<p><span style=\"color: rgb(53, 53, 53);\">1.2\u8d85\u8d8aSAM<\/span><\/p>\n<ul>\n<li>\n<p>\u7c92\u5ea6\u4e30\u5bcc\u6027: Semantic-SAM\u80fd\u591f\u4ea7\u751f\u7528\u6237\u70b9\u51fb\u6240\u9700\u7684\u6240\u6709\u53ef\u80fd\u5206\u5272\u7c92\u5ea6\uff081-6\uff09\u7684\u9ad8\u8d28\u91cf\u5b9e\u4f53\u5206\u5272\uff0c\u4ece\u800c\u5b9e\u73b0\u66f4\u52a0\u53ef\u63a7\u548c\u7528\u6237\u53cb\u597d\u7684\u4ea4\u4e92\u5f0f\u5206\u5272\u3002<\/p>\n<\/li>\n<li>\n<p>\u8bed\u4e49\u611f\u77e5\u6027\u3002Semantic-SAM\u4f7f\u7528\u5e26\u6709\u8bed\u4e49\u6807\u8bb0\u7684\u6570\u636e\u96c6\u548cSA-1B\u6570\u636e\u96c6\u8054\u5408\u8bad\u7ec3\u6a21\u578b\uff0c\u4ee5\u5b66\u4e60\u7269\u4f53\uff08object\uff09\u7ea7\u522b\u548c\u7ec6\u7c92\u5ea6(part)\u7ea7\u522b\u7684\u8bed\u4e49\u4fe1\u606f\u3002<\/p>\n<\/li>\n<li>\n<p>\u591a\u529f\u80fd\u3002Semantic-SAM \u5b9e\u73b0\u4e86\u9ad8\u8d28\u91cf\u7684\u5168\u666f\uff0c\u8bed\u4e49\uff0c\u5b9e\u4f8b\uff0c\u7ec6\u7c92\u5ea6\u5206\u5272\u548c\u4ea4\u4e92\u5f0f\u5206\u5272\uff0c\u9a8c\u8bc1\u4e86SA-1B \u548c\u5176\u4ed6\u5206\u5272\u4efb\u52a1\u7684\u76f8\u4e92\u4fc3\u8fdb\u4f5c\u7528\u3002<\/p>\n<\/li>\n<\/ul>\n<p>\u53ea\u9700\u5355\u51fb\u4e00\u4e0b\u5373\u53ef\u8f93\u51fa\u591a\u8fbe6\u4e2a\u7c92\u5ea6\u5206\u5272!\u4e0e SAM \u76f8\u6bd4\uff0c\u66f4\u53ef\u63a7\u5730\u5339\u914d\u7528\u6237\u610f\u56fe\uff0c\u4e0d\u7528\u62c5\u5fc3\u9f20\u6807\u79fb\u52a8\u5f88\u4e45\u4e5f\u627e\u4e0d\u5230\u60f3\u8981\u7684\u5206\u5272\u4e86\uff5e<\/p>\n<p style=\"text-align:center\">\n<h2>2. \u6a21\u578b\u4ecb\u7ecd<\/h2>\n<p><span style=\"color: rgb(53, 53, 53);\">2.1\u6a21\u578b\u7ed3\u6784<\/span><\/p>\n<p>Semantic-SAM\u7684\u6a21\u578b\u7ed3\u6784\u57fa\u4e8eMask DINO\u8fdb\u884c\u5f00\u53d1\u3002Mask DINO\u662f\u57fa\u4e8eDETR\u6846\u67b6\u7684\u7edf\u4e00\u68c0\u6d4b\u548c\u5206\u5272\u7684\u7f51\u7edc\uff0c\u76ee\u524d\u4ecd\u7136\u662f\u76f8\u540c\u6a21\u578bsize\u4e0b\u7684SOTA\u6a21\u578b\u3002Semantic-SAM\u7684\u6a21\u578b\u7ed3\u6784\u4e3b\u8981\u6539\u8fdb\u5728decoder\u90e8\u5206\uff0c\u540c\u65f6\u652f\u6301\u901a\u7528\u5206\u5272\u548c\u4ea4\u4e92\u5f0f\u5206\u5272\u3002\u901a\u7528\u5206\u5272\u7684\u5b9e\u73b0\u4e0eMask DINO\u76f8\u540c\u3002\u4ea4\u4e92\u5f0f\u5206\u5272\u5305\u62ecpoint\u548cbox\u4e24\u79cd\u5f62\u5f0f\uff0c\u5176\u4e2dbox\u5230mask\u4e0d\u5b58\u5728\u5339\u914d\u7684ambiguity\uff0c\u5b9e\u73b0\u65b9\u5f0f\u4e0e\u901a\u7528\u5206\u5272\u76f8\u540c\uff0c\u800cpoint\u5230mask\u7684\u5339\u914d\u662fSemantic-SAM\u7684\u5173\u952e\u8bbe\u8ba1\u3002<\/p>\n<p>\u5728Semantic-SAM\u4e2d\uff0c\u7528\u6237\u7684point\u8f93\u5165\u88ab\u8f6c\u6362\u62106\u4e2aprompt\uff0c \u6bcf\u4e2aprompt\u5305\u542b\u4e00\u4e2a\u53ef\u5b66\u4e60\u7684level embedding\u8fdb\u884c\u533a\u5206\u3002\u8fd96\u4e2aprompt\u901a\u8fc7decoder\u4ea7\u751f6\u4e2a\u4e0d\u540c\u7c92\u5ea6\u7684\u5206\u5272\u7ed3\u679c\uff0c\u4ee5\u53caobject\u548cpart\u7c7b\u522b\u3002<\/p>\n<p style=\"text-align:center\">\n<p><span style=\"color: rgb(53, 53, 53);\">2.2\u8bad\u7ec3<\/span><\/p>\n<p>\u4e3a\u4e86\u5b66\u5230\u7269\u4f53\u7ea7\u522b\uff08object\uff09\u548c\u90e8\u4ef6\u7ea7\u522b(part)\u7684\u8bed\u4e49\uff0cSemantic-SAM\u540c\u65f6\u4ece\u591a\u4e2a\u6570\u636e\u96c6\u4e2d\u8fdb\u884c\u5b66\u4e60\uff0c\u5982\u591a\u7c92\u5ea6\u6570\u636e\u96c6(SA-1B)\uff0c\u7269\u4f53\u7ea7\u522b\u6570\u636e\u96c6(\u5982COCO)\uff0c\u4ee5\u53ca\u90e8\u4ef6\u7ea7\u522b\u6570\u636e\u96c6(\u5982Pascal Part)\u3002<\/p>\n<p style=\"text-align:center\">\n<p>\u4e3a\u4e86\u4ece\u8054\u5408\u6570\u636e\u96c6\u4e2d\u5b66\u4e60\u8bed\u4e49\u611f\u77e5\u6027\u548c\u7c92\u5ea6\u4e30\u5bcc\u6027\uff0c\u6211\u4eec\u5f15\u5165\u4ee5\u4e0b\u4e24\u79cd\u8bad\u7ec3\u65b9\u6cd5:<\/p>\n<p><strong>\u89e3\u8026\u7269\u4f53\u5206\u7c7b\u4e0e\u90e8\u4ef6\u5206\u7c7b\u7684\u8bed\u4e49\u5b66\u4e60<\/strong>:\u4e3a\u4e86\u5b66\u4e60\u5230\u53ef\u6cdb\u5316\u7684\u7269\u4f53\u548c\u90e8\u4ef6\u8bed\u4e49\uff0c\u6211\u4eec\u91c7\u7528\u89e3\u8026\u7684\u7269\u4f53\u5206\u7c7b\u548c\u90e8\u4ef6\u5206\u7c7b\uff0c\u4ee5\u4f7f\u5f97\u53ea\u6709object\u6807\u6ce8\u7684\u6570\u636e\u4e5f\u53ef\u4ee5\u5b66\u4e60\u5230\u4e00\u4e9b\u901a\u7528\u7684part\u8bed\u4e49\u3002\u4f8b\u5982\uff0chead\u662f\u5728\u51e0\u4e4e\u6240\u6709\u52a8\u7269\u4e0a\u90fd\u901a\u7528\u7684part\uff0c\u6211\u4eec\u671f\u671b\u6a21\u578b\u4ece\u6709\u6807\u6ce8\u7684dog head\uff0ccat head\uff0csheep head\u7b49head\u4e2d\u5b66\u4e60\u5230\u53ef\u6cdb\u5316\u7684lion\uff0ctiger\uff0cpanda\u7b49head\u7684\u8bc6\u522b\u80fd\u529b\u3002<\/p>\n<p style=\"text-align:center\">\n<p><strong>Many-to-Many\u7684\u591a\u7c92\u5ea6\u5b66\u4e60<\/strong>:\u5bf9\u4e8e\u4ea4\u4e92\u5f0f\u5206\u5272\u4e2d\u7684point\u8f93\u5165\uff0cSemantic-SAM\u5229\u75286\u4e2aprompt\u53bb\u8f93\u51fa\u591a\u7c92\u5ea6\u7684\u5206\u5272\u7ed3\u679c\uff0c\u5e76\u7528\u5305\u542b\u8be5\u70b9\u51fb\u7684\u6240\u6709\u6807\u6ce8\u5206\u5272\u6765\u4f5c\u4e3a\u76d1\u7763\u3002\u8fd9\u79cd\u4ece\u591a\u4e2a\u5206\u5272\u7ed3\u679c\u5230\u591a\u4e2a\u5206\u5272\u6807\u6ce8\u7684Many-to-Many\u7684\u5339\u914d\u548c\u76d1\u7763\uff0c\u4f7f\u5f97\u6a21\u578b\u80fd\u591f\u8fbe\u5230\u9ad8\u8d28\u91cf\u7684\u591a\u7c92\u5ea6\u5206\u5272\u6548\u679c\u3002<\/p>\n<p style=\"text-align:center\">\n<h2>3. \u5b9e\u9a8c<\/h2>\n<p><span style=\"color: rgb(53, 53, 53);\">3.1SA-1B \u4e0e\u901a\u7528\u5206\u5272\u6570\u636e\u96c6\u7684\u8054\u5408\u8bad\u7ec3<\/span><\/p>\n<p>\u6211\u4eec\u53d1\u73b0\uff0c\u8054\u5408\u8bad\u7ec3 SA-1B \u548c\u901a\u7528\u5206\u5272\u6570\u636e\u96c6\u53ef\u4ee5\u63d0\u9ad8\u901a\u7528\u5206\u5272\u6027\u80fd\uff0c\u5982\u5bf9COCO\u5206\u5272\u548c\u68c0\u6d4b\u6548\u679c\u6709\u5927\u5e45\u63d0\u5347\u3002<\/p>\n<p style=\"text-align:center\">\n<p>\u5728\u8bad\u7ec3SA-1B\u6570\u636e\u7684\u8fc7\u7a0b\u4e2d\uff0c\u6211\u4eec\u4e5f\u53d1\u73b0\u4e86\u5229\u7528\u5c11\u91cfSA-1B\u7684\u6570\u636e\u5373\u53ef\u5f97\u5230\u5f88\u597d\u7684\u6548\u679c\u3002<\/p>\n<p style=\"text-align:center\">\n<p><span style=\"color: rgb(53, 53, 53);\">3.2SA-1B \u4e0e\u7ec6\u7c92\u5ea6\u5206\u5272\u6570\u636e\u96c6\u7684\u8054\u5408\u8bad\u7ec3<\/span><\/p>\n<p>\u540c\u6837\u7684\uff0c\u8054\u5408\u8bad\u7ec3 SA-1B \u548c\u7ec6\u7c92\u5ea6\u5206\u5272\u6570\u636e\u96c6\u53ef\u4ee5\u63d0\u9ad8\u90e8\u4ef6\u5206\u5272\u6027\u80fd\u3002<\/p>\n<p style=\"text-align:center\">\n<h2>4. \u53ef\u89c6\u5316<\/h2>\n<p><span style=\"color: rgb(53, 53, 53);\">4.1Semantic-SAM\u7684prompt\u4ece\u5927\u91cf\u6570\u636e\u4e2d\u5b66\u5230\u4e86\u56fa\u5b9a\u6a21\u5f0f\u7684\u8868\u5f81<\/span><\/p>\n<p>Semantic-SAM\u4e00\u5171\u67096\u4e2a\u53ef\u5b66\u4e60\u7684prompt\u3002\u5bf9\u4e8e\u4e0d\u540c\u56fe\u7247\u7684\u70b9\u51fb\uff0c\u89c2\u5bdf\u6bcf\u4e2aprompt\u5bf9\u5e94\u7684\u5206\u5272\u7ed3\u679c\uff0c\u53ef\u4ee5\u53d1\u73b0\u6bcf\u4e2aprompt\u7684\u5206\u5272\u90fd\u4f1a\u5bf9\u5e94\u4e00\u4e2a\u56fa\u5b9a\u7684\u7c92\u5ea6\u3002\u8fd9\u8868\u660e\u6bcf\u4e2aprompt\u5b66\u5230\u4e86\u4e00\u4e2a\u56fa\u5b9a\u7684\u8bed\u4e49\u7ea7\u522b\uff0c\u8f93\u51fa\u66f4\u52a0\u53ef\u63a7\u3002<\/p>\n<p style=\"text-align:center\">\n<p><span style=\"color: rgb(53, 53, 53);\">4.2Semantic-SAM\u4e0eSAM\uff0c SA-1B Ground-truth 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