{"id":3050,"date":"2025-04-28T17:58:47","date_gmt":"2025-04-28T09:58:47","guid":{"rendered":"https:\/\/www.gnn.club\/?p=3050"},"modified":"2025-04-28T17:58:47","modified_gmt":"2025-04-28T09:58:47","slug":"blip-%e8%87%aa%e4%b8%be%e5%bc%8f%e6%95%b0%e6%8d%ae%e6%b8%85%e6%b4%97%e5%8a%a9%e5%8a%9b%e5%a4%9a%e6%a8%a1%e6%80%81","status":"publish","type":"post","link":"http:\/\/gnn.club\/?p=3050","title":{"rendered":"BLIP: \u81ea\u4e3e\u5f0f\u6570\u636e\u6e05\u6d17\u52a9\u529b\u591a\u6a21\u6001"},"content":{"rendered":"\n

BLIP: Bootstrapping Language-Image Pre-training for Unified Vision-Language Understanding and Generation<\/a><\/p>\n\n\n\n

1. \u4ecb\u7ecd<\/h2>\n\n\n\n

\u89c6\u89c9-\u8bed\u8a00\u9884\u8bad\u7ec3\u8fd1\u671f\u5728\u5404\u79cd\u591a\u6a21\u6001\u4e0b\u6e38\u4efb\u52a1\u4e2d\u53d6\u5f97\u4e86\u5de8\u5927\u6210\u529f\u3002\u7136\u800c\u73b0\u6709\u65b9\u6cd5\u5b58\u5728\u4e24\u5927\u5c40\u9650\u6027\uff1a<\/p>\n\n\n\n

\uff081\uff09\u6a21\u578b\u5c42\u9762\uff1a\u73b0\u6709\u65b9\u6cd5\u8981\u4e48\u91c7\u7528\u57fa\u4e8e\u7f16\u7801\u5668\u7684\u6a21\u578b\uff0c\u8981\u4e48\u91c7\u7528\u7f16\u7801\u5668-\u89e3\u7801\u5668\u6a21\u578b\u3002\u4f46\u57fa\u4e8e\u7f16\u7801\u5668\u7684\u6a21\u578b\u96be\u4ee5\u76f4\u63a5\u8fc1\u79fb\u5230\u6587\u672c\u751f\u6210\u4efb\u52a1\uff08\u5982\u56fe\u50cf\u63cf\u8ff0\uff09\uff0c\u800c\u7f16\u7801\u5668-\u89e3\u7801\u5668\u6a21\u578b\u5c1a\u672a\u6210\u529f\u5e94\u7528\u4e8e\u56fe\u6587\u68c0\u7d22\u4efb\u52a1\u3002<\/p>\n\n\n\n

\uff082\uff09\u6570\u636e\u5c42\u9762\uff1a\u6700\u5148\u8fdb\u65b9\u6cd5\uff08\u5982CLIP\u3001ALBEF\u3001SimVLM\uff09\u4e3b\u8981\u4f7f\u7528\u7f51\u7edc\u6536\u96c6\u7684\u56fe\u6587\u5bf9\u8fdb\u884c\u9884\u8bad\u7ec3\u3002\u5c3d\u7ba1\u6269\u5927\u6570\u636e\u96c6\u80fd\u63d0\u5347\u6027\u80fd\uff0c\u4f46\u672c\u6587\u8bc1\u660e\u7f51\u7edc\u6587\u672c\u7684\u566a\u58f0\u7279\u6027\u4e0d\u5229\u4e8e\u89c6\u89c9-\u8bed\u8a00\u5b66\u4e60\u3002<\/p>\n\n\n\n

\u4e3a\u6b64\uff0cBLIP\u63d0\u51fa\uff08\u81ea\u4e3e\u5f0f\u8bed\u8a00-\u56fe\u50cf\u9884\u8bad\u7ec3\u6846\u67b6\uff09\uff0c\u901a\u8fc7\u6a21\u578b\u4e0e\u6570\u636e\u5c42\u9762\u7684\u53cc\u91cd\u521b\u65b0\u5b9e\u73b0\u7edf\u4e00\u7684\u7406\u89e3\u4e0e\u751f\u6210\u80fd\u529b\uff1a<\/p>\n\n\n\n

(a) \u591a\u6a21\u6001\u6df7\u5408\u7f16\u89e3\u7801\u5668\uff08MED\uff09\uff1a\u65b0\u578b\u67b6\u6784\u652f\u6301\u591a\u4efb\u52a1\u9884\u8bad\u7ec3\u4e0e\u7075\u6d3b\u8fc1\u79fb\u5b66\u4e60\u3002MED\u53ef\u5207\u6362\u4e3a\u5355\u6a21\u6001\u7f16\u7801\u5668\u3001\u57fa\u4e8e\u56fe\u50cf\u7684\u6587\u672c\u7f16\u7801\u5668\u6216\u89e3\u7801\u5668\uff0c\u901a\u8fc7\u56fe\u50cf-\u6587\u672c\u5bf9\u6bd4\u5b66\u4e60\u3001\u5339\u914d\u548c\u6761\u4ef6\u8bed\u8a00\u5efa\u6a21\u4e09\u76ee\u6807\u8054\u5408\u9884\u8bad\u7ec3\u3002<\/p>\n\n\n\n

(b) \u5b57\u5e55\u751f\u6210\u4e0e\u8fc7\u6ee4\uff08CapFilt\uff09\uff1a\u4ece\u566a\u58f0\u6570\u636e\u4e2d\u5b66\u4e60\u7684\u65b0\u65b9\u6cd5\u3002\u5c06\u9884\u8bad\u7ec3MED\u5fae\u8c03\u4e3a\u4e24\u4e2a\u6a21\u5757\uff1a\u4e3a\u7f51\u7edc\u56fe\u50cf\u751f\u6210\u5408\u6210\u5b57\u5e55\u7684\u751f\u6210\u5668\uff08Cap\uff09\uff0c\u4ee5\u53ca\u8fc7\u6ee4\u539f\u59cb\u7f51\u7edc\u6587\u672c\u4e0e\u5408\u6210\u6587\u672c\u566a\u58f0\u7684\u8fc7\u6ee4\u5668\uff08Filt\uff09\u3002<\/p>\n\n\n\n

\u56fe1\u5c55\u793a\u4f7f\u7528\u5b57\u5e55\u751f\u6210\u5668\uff08Cap\uff09\u4e3a\u7f51\u7edc\u56fe\u50cf\u751f\u6210\u5408\u6210\u5b57\u5e55\uff0c\u5e76\u901a\u8fc7\u8fc7\u6ee4\u5668\uff08Filt\uff09\u53bb\u9664\u566a\u58f0\u5b57\u5e55\u7684\u6d41\u7a0b\u3002<\/p>\n\n\n

\n
\"\"<\/figure><\/div>\n\n\n


\u793a\u4f8b\u56fe\u7247\u7684\u539f\u6807\u7b7e\u4e3a\"\u65e5\u843d\u516c\u56ed\u84dd\u5929\u7a7a\u9762\u5305\u5e97\"\uff0c\u5176\u56fe\u6587\u7684\u76f8\u5173\u6027\u5e76\u4e0d\u5f3a\uff0c\u56e0\u6b64\u8fc7\u6ee4\u5668Filt\u4f1a\u5c06\u5176\u6253\u4e0a\u4e0d\u597d\u7684\u6807\u7b7e\uff1b\u540c\u65f6\u751f\u6210\u5668Cap\u5c1d\u8bd5\u4e3a\u5176\u751f\u6210\u65b0\u6807\u7b7e\"\u5976\u6cb9\u5de7\u514b\u529b\u86cb\u7cd5\u9876\u90e8\u6492\u6709\u5de7\u514b\u529b\u7cd6\u7c92\"\u5e76\u518d\u6b21\u901a\u8fc7\u8fc7\u6ee4\u5668Flit\u8fdb\u884c\u68c0\u6d4b\u3002<\/p>\n\n\n\n

\u5173\u952e\u53d1\u73b0\uff1a
\u2022 \u5b57\u5e55\u751f\u6210\u4e0e\u8fc7\u6ee4\u534f\u540c\u4f5c\u7528\uff0c\u901a\u8fc7\u81ea\u4e3e\u5b57\u5e55\u663e\u8457\u63d0\u5347\u4e0b\u6e38\u4efb\u52a1\u6027\u80fd\uff0c\u4e14\u5b57\u5e55\u591a\u6837\u6027\u8d8a\u9ad8\u6536\u76ca\u8d8a\u5927
\u2022 BLIP\u5728\u56fe\u6587\u68c0\u7d22\u3001\u56fe\u50cf\u63cf\u8ff0\u3001\u89c6\u89c9\u95ee\u7b54\u3001\u63a8\u7406\u53ca\u5bf9\u8bdd\u7b49\u4efb\u52a1\u4e0a\u8fbe\u5230SOTA\uff0c\u5728\u96f6\u6837\u672c\u8fc1\u79fb\u81f3\u89c6\u9891-\u8bed\u8a00\u4efb\u52a1\uff08\u6587\u672c-\u89c6\u9891\u68c0\u7d22\u3001\u89c6\u9891\u95ee\u7b54\uff09\u65f6\u540c\u6837\u521b\u4e0b\u6700\u4f73\u6027\u80fd<\/p>\n\n\n\n

2. \u6a21\u578b\u4e0e\u8bad\u7ec3<\/h2>\n\n\n\n

BLIP\uff08Bootstrapping Language-Image Pre-training\uff09\u662f\u4e00\u79cd\u7edf\u4e00\u7684\u591a\u6a21\u6001\u89c6\u89c9-\u8bed\u8a00\u9884\u8bad\u7ec3\u6a21\u578b\uff0c\u5176\u6838\u5fc3\u521b\u65b0\u5728\u4e8e\u63d0\u51fa\u4e86\u591a\u6a21\u6001\u6df7\u5408\u7f16\u7801\u5668-\u89e3\u7801\u5668\uff08Multimodal Mixture of Encoder-Decoder, MED\uff09<\/strong>\u67b6\u6784\uff0c\u80fd\u591f\u901a\u8fc7\u5171\u4eab\u53c2\u6570\u5b9e\u73b0\u4e09\u79cd\u4e0d\u540c\u7684\u529f\u80fd\u6a21\u5f0f\u3002\u4ee5\u4e0b\u662f\u5bf9\u5176\u6a21\u578b\u7ed3\u6784\u7684\u8be6\u7ec6\u5c55\u5f00\uff1a<\/p>\n\n\n\n

\"\"<\/figure>\n\n\n\n

\u6574\u4f53\u67b6\u6784\u8bbe\u8ba1<\/strong><\/h4>\n\n\n\n

BLIP\u7684MED\u67b6\u6784\u7531\u4e09\u4e2a\u5173\u952e\u7ec4\u4ef6\u6784\u6210\uff0c\u5171\u4eab\u90e8\u5206\u53c2\u6570\u4ee5\u63d0\u9ad8\u6548\u7387\uff1a<\/p>\n\n\n\n

    \n
  • \u5355\u6a21\u6001\u7f16\u7801\u5668\uff08Unimodal Encoder\uff09<\/strong><\/li>\n\n\n\n
  • \u57fa\u4e8e\u56fe\u50cf\u7684\u6587\u672c\u7f16\u7801\u5668\uff08Image-grounded Text Encoder\uff09<\/strong><\/li>\n\n\n\n
  • \u57fa\u4e8e\u56fe\u50cf\u7684\u6587\u672c\u89e3\u7801\u5668\uff08Image-grounded Text Decoder\uff09<\/strong><\/li>\n<\/ul>\n\n\n\n

    \u6240\u6709\u7ec4\u4ef6\u5171\u4eab\u76f8\u540c\u7684\u89c6\u89c9\u7f16\u7801\u5668\uff08Vision Transformer, ViT\uff09<\/strong>\u548c\u90e8\u5206\u6587\u672c\u5904\u7406\u5c42\uff0c\u4f46\u901a\u8fc7\u4e0d\u540c\u7684\u6ce8\u610f\u529b\u673a\u5236\u548c\u8bad\u7ec3\u76ee\u6807\u5b9e\u73b0\u591a\u529f\u80fd\u6027\u3002<\/p>\n\n\n\n

    2.1 \u89c6\u89c9\u7f16\u7801\u5668\uff08Visual Encoder\uff09<\/strong><\/h5>\n\n\n\n
      \n
    • \u57fa\u7840\u7ed3\u6784<\/strong>\uff1a\u91c7\u7528ViT\uff08Vision Transformer\uff09\u5bf9\u8f93\u5165\u56fe\u50cf\u8fdb\u884c\u7f16\u7801\u3002\n
        \n
      • \u8f93\u5165\u56fe\u50cf\u88ab\u5206\u5272\u4e3a\u56fa\u5b9a\u5927\u5c0f\u7684patch\uff08\u598216\u00d716\uff09\uff0c\u7ebf\u6027\u6295\u5f71\u4e3apatch embeddings\u3002<\/li>\n\n\n\n
      • \u6dfb\u52a0[CLS] token\u4f5c\u4e3a\u5168\u5c40\u56fe\u50cf\u8868\u793a\u7684\u805a\u5408\u6807\u5fd7\u3002<\/li>\n\n\n\n
      • \u901a\u8fc7\u591a\u5c42Transformer\u5757\uff08\u598212\u5c42\uff09\u63d0\u53d6\u89c6\u89c9\u7279\u5f81\uff0c\u8f93\u51fa\u89c6\u89c9\u5d4c\u5165\u5e8f\u5217\u00a0V\u3002<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n\n\n\n
        2.2 \u6587\u672c\u7f16\u7801\u5668\uff08Text Encoder\uff09<\/strong><\/h5>\n\n\n\n
        (1) \u5355\u6a21\u6001\u6587\u672c\u7f16\u7801\u5668<\/strong><\/h6>\n\n\n\n
          \n
        • \u529f\u80fd<\/strong>\uff1a\u4ec5\u5904\u7406\u6587\u672c\u8f93\u5165\uff08\u4e0d\u6d89\u53ca\u89c6\u89c9\u4fe1\u606f\uff09\uff0c\u7528\u4e8e\u56fe\u50cf-\u6587\u672c\u5bf9\u6bd4\u5b66\u4e60\uff08ITC\uff09\u3002<\/li>\n\n\n\n
        • \u7ed3\u6784<\/strong>\uff1a\n
            \n
          • \u8f93\u5165\u6587\u672c\u901a\u8fc7\u8bcd\u5d4c\u5165\u5c42\u8f6c\u6362\u4e3atoken\u5e8f\u5217\uff0c\u6dfb\u52a0[CLS]\u548c[SEP]\u6807\u8bb0\u3002<\/li>\n\n\n\n
          • \u4f7f\u7528\u53cc\u5411Transformer\uff08\u5982BERT\u7ed3\u6784\uff09\u7f16\u7801\u6587\u672c\uff0c\u8f93\u51fa\u6587\u672c\u5d4c\u5165\u00a0T \u3002<\/li>\n\n\n\n
          • [CLS] token\u7684\u5d4c\u5165\u7528\u4e8e\u8ba1\u7b97\u56fe\u50cf-\u6587\u672c\u76f8\u4f3c\u5ea6\u3002<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n\n\n\n
            (2) \u57fa\u4e8e\u56fe\u50cf\u7684\u6587\u672c\u7f16\u7801\u5668\uff08Image-grounded Text Encoder\uff09<\/strong><\/h6>\n\n\n\n
              \n
            • \u529f\u80fd<\/strong>\uff1a\u878d\u5408\u89c6\u89c9\u548c\u8bed\u8a00\u4fe1\u606f\uff0c\u7528\u4e8e\u56fe\u50cf-\u6587\u672c\u5339\u914d\uff08ITM\uff09\u3002<\/li>\n\n\n\n
            • \u7ed3\u6784\u6539\u8fdb<\/strong>\uff1a\n
                \n
              • \u5728\u5355\u6a21\u6001\u6587\u672c\u7f16\u7801\u5668\u57fa\u7840\u4e0a\uff0c\u63d2\u5165\u8de8\u6ce8\u610f\u529b\u5c42\uff08Cross-Attention\uff09<\/strong>\uff0c\u4f7f\u6587\u672ctoken\u80fd\u591f\u5173\u6ce8\u89c6\u89c9\u7279\u5f81 V<\/em>\u3002<\/li>\n\n\n\n
              • \u5177\u4f53\u6765\u8bf4\uff0c\u8de8\u6ce8\u610f\u529b\u5c42\u7684Query\u6765\u81ea\u6587\u672c\uff0cKey\u548cValue\u6765\u81ea\u89c6\u89c9\u7f16\u7801\u5668\u7684\u8f93\u51fa\u3002<\/li>\n\n\n\n
              • \u4fdd\u7559\u53cc\u5411\u81ea\u6ce8\u610f\u529b\u5c42\uff0c\u5b9e\u73b0\u6587\u672c\u4e0e\u56fe\u50cf\u7684\u7ec6\u7c92\u5ea6\u4ea4\u4e92\u3002<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n\n\n\n
                2.3 <\/strong>\u6587\u672c\u89e3\u7801\u5668\uff08Text Decoder\uff09<\/strong><\/h5>\n\n\n\n
                  \n
                • \u529f\u80fd<\/strong>\uff1a\u4ee5\u81ea\u56de\u5f52\u65b9\u5f0f\u751f\u6210\u56fe\u50cf\u63cf\u8ff0\uff08Language Modeling, LM\uff09\u3002<\/li>\n\n\n\n
                • \u7ed3\u6784\u6539\u8fdb<\/strong>\uff1a\n
                    \n
                  • \u5c06\u6587\u672c\u7f16\u7801\u5668\u7684\u53cc\u5411\u81ea\u6ce8\u610f\u529b\u5c42\u66ff\u6362\u4e3a\u56e0\u679c\u81ea\u6ce8\u610f\u529b\u5c42\uff08Causal Self-Attention\uff09<\/strong>\uff0cCausal Self-Attention<\/strong>\uff08\u56e0\u679c\u81ea\u6ce8\u610f\u529b\uff09\u662f\u81ea\u6ce8\u610f\u529b\u673a\u5236\uff08Self-Attention\uff09\u7684\u4e00\u79cd\u53d8\u4f53\uff0c\u4e3b\u8981\u7528\u4e8e\u5904\u7406\u5e8f\u5217\u6570\u636e\u4e2d\u7684\u56e0\u679c\u7ea6\u675f<\/strong>\uff08Causal Constraint\uff09\uff0c\u5373\u786e\u4fdd\u6a21\u578b\u5728\u751f\u6210\u8f93\u51fa\u65f6\u53ea\u80fd\u8bbf\u95ee\u5f53\u524d\u65f6\u523b\u53ca\u4e4b\u524d\u7684\u8f93\u5165\u4fe1\u606f\uff0c\u800c\u4e0d\u80fd\u201c\u5077\u770b\u201d\u672a\u6765\u4fe1\u606f\u3002\u8fd9\u79cd\u673a\u5236\u5728\u81ea\u56de\u5f52\u6a21\u578b<\/strong>\uff08\u5982GPT\uff09\u4e2d\u81f3\u5173\u91cd\u8981\u3002<\/li>\n\n\n\n
                  • \u5171\u4eab\u8de8\u6ce8\u610f\u529b\u5c42\u548cFFN<\/strong>\uff1a\u4e0eImage-grounded Text Encoder\u5171\u7528\u8de8\u6ce8\u610f\u529b\u5c42\u548c\u524d\u9988\u7f51\u7edc\uff0c\u51cf\u5c11\u53c2\u6570\u91cf\u3002<\/li>\n\n\n\n
                  • \u5728\u8bad\u7ec3\u65f6\uff0c\u4f7f\u7528\u524d\u7f00\u8bed\u8a00\u6a21\u578b\uff08Prefix LM\uff09\u76ee\u6807\uff0c\u4ee5\u56fe\u50cf\u7279\u5f81\u4e3a\u6761\u4ef6\u751f\u6210\u6587\u672c\u3002<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n\n\n\n
                    2.4 \u8bad\u7ec3\u76ee\u6807\u4e0e\u635f\u5931\u51fd\u6570<\/strong><\/h5>\n\n\n\n

                    BLIP\u901a\u8fc7\u4e09\u79cd\u635f\u5931\u51fd\u6570\u8054\u5408\u4f18\u5316\u6a21\u578b\uff1a<\/p>\n\n\n\n

                    (1) \u56fe\u50cf-\u6587\u672c\u5bf9\u6bd4\u635f\u5931\uff08ITC\uff09<\/strong><\/h6>\n\n\n\n
                      \n
                    • \u76ee\u6807<\/strong>\uff1a\u5bf9\u9f50\u56fe\u50cf\u548c\u6587\u672c\u7684\u8868\u793a\u7a7a\u95f4\u3002<\/li>\n\n\n\n
                    • \u5b9e\u73b0\u65b9\u5f0f\uff1a\n
                        \n
                      • \u8ba1\u7b97\u56fe\u50cf[CLS] token\u00a0vclsv<\/em>cls\u200b\u00a0\u548c\u6587\u672c[CLS] token\u00a0tclst<\/em>cls\u200b\u00a0\u7684\u4f59\u5f26\u76f8\u4f3c\u5ea6\u3002<\/li>\n\n\n\n
                      • \u4f7f\u7528InfoNCE\u635f\u5931\uff0c\u5728\u4e00\u4e2abatch\u5185\u533a\u5206\u6b63\u8d1f\u6837\u672c\u5bf9\u3002<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n\n\n\n
                        (2) \u56fe\u50cf-\u6587\u672c\u5339\u914d\u635f\u5931\uff08ITM\uff09<\/strong><\/h6>\n\n\n\n
                          \n
                        • \u76ee\u6807<\/strong>\uff1a\u5b66\u4e60\u56fe\u50cf-\u6587\u672c\u5bf9\u7684\u7ec6\u7c92\u5ea6\u5339\u914d\u5173\u7cfb\u3002<\/li>\n\n\n\n
                        • \u5b9e\u73b0\u65b9\u5f0f\uff1a\n
                            \n
                          • \u901a\u8fc7Image-grounded Text Encoder\u8ba1\u7b97\u5339\u914d\u5206\u6570\uff08\u4e8c\u5206\u7c7b\uff09\u3002<\/li>\n\n\n\n
                          • \u4f7f\u7528\u786c\u8d1f\u6837\u672c\u6316\u6398\uff08Hard Negative Mining\uff09\u63d0\u5347\u96be\u6837\u672c\u533a\u5206\u80fd\u529b\u3002<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n\n\n\n
                            (3) \u8bed\u8a00\u5efa\u6a21\u635f\u5931\uff08LM\uff09<\/strong><\/h6>\n\n\n\n
                              \n
                            • \u76ee\u6807<\/strong>\uff1a\u751f\u6210\u4e0e\u56fe\u50cf\u76f8\u5173\u7684\u81ea\u7136\u8bed\u8a00\u63cf\u8ff0\u3002<\/li>\n\n\n\n
                            • \u5b9e\u73b0\u65b9\u5f0f\uff1a\n
                                \n
                              • \u57fa\u4e8e\u4ea4\u53c9\u71b5\u635f\u5931\uff0c\u4ee5\u56fe\u50cf\u7279\u5f81\u4e3a\u6761\u4ef6\u81ea\u56de\u5f52\u9884\u6d4b\u4e0b\u4e00\u4e2atoken\u3002<\/li>\n\n\n\n
                              • \u89e3\u7801\u5668\u5728\u8bad\u7ec3\u65f6\u4f7f\u7528\u6559\u5e08\u5f3a\u5236\uff08Teacher Forcing\uff09\u3002<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n\n\n\n

                                \u5b9e\u9645\u4e0a\uff0c\u5355\u770b\u6a21\u578b\u7ed3\u6784\u548c\u8bad\u7ec3\uff0cBLIP\u5176\u5b9e\u5e76\u6ca1\u6709\u592a\u5927\u7684\u521b\u65b0\uff0c\u7ed3\u6784\u4e0a\u4e0eALBEF\u5f88\u50cf\uff0c\u8bad\u7ec3\u4e0a\u4e5f\u662f\u89c6\u89c9-\u8bed\u8a00\u591a\u6a21\u6001\u7b97\u6cd5\u5e38\u7528\u7684\u8bad\u7ec3\u635f\u5931\u3002BLIP\u6a21\u578b\u7684\u4e3b\u8981\u8d21\u732e\u5176\u5b9e\u662f\u81ea\u4e3e\u5f0f\u7684\u6570\u636e\u589e\u5f3a\uff0c\u8bba\u6587\u4e2d\u6210\u4e3aCapFilt\u3002<\/mark><\/p>\n\n\n\n

                                3. CapFilt<\/h2>\n\n\n\n

                                CapFilt\uff08Captioning and Filtering\uff09\u662fBLIP\uff08Bootstrapping Language-Image Pre-training\uff09\u6846\u67b6\u4e2d\u63d0\u51fa\u7684\u521b\u65b0\u6027\u65b9\u6cd5\uff0c\u65e8\u5728\u63d0\u5347\u89c6\u89c9-\u8bed\u8a00\u9884\u8bad\u7ec3\u6570\u636e\u8d28\u91cf\u3002\u4e0b\u9762\u6211\u5c06\u4ece\u591a\u4e2a\u7ef4\u5ea6\u8be6\u7ec6\u89e3\u6790\u8fd9\u4e00\u673a\u5236\u3002<\/p>\n\n\n\n

                                3.1 CapFilt\u7684\u8bbe\u8ba1\u80cc\u666f\u4e0e\u52a8\u673a<\/h4>\n\n\n\n

                                \u5f53\u524d\u89c6\u89c9-\u8bed\u8a00\u9884\u8bad\u7ec3\u9762\u4e34\u7684\u6838\u5fc3\u95ee\u9898\u662f\uff1a\u9ad8\u8d28\u91cf\u4eba\u5de5\u6807\u6ce8\u6570\u636e\u7a00\u7f3a\u800c\u7f51\u7edc\u6570\u636e\u566a\u58f0\u5927<\/strong>\u3002\u5177\u4f53\u8868\u73b0\u4e3a\uff1a<\/p>\n\n\n\n

                                  \n
                                • \u4eba\u5de5\u6807\u6ce8\u6570\u636e\uff08\u5982COCO\uff09\uff1a\u8d28\u91cf\u9ad8\u4f46\u89c4\u6a21\u6709\u9650\uff08\u7ea610\u4e07\u91cf\u7ea7\uff09<\/li>\n\n\n\n
                                • \u7f51\u7edc\u722c\u53d6\u6570\u636e\uff08\u5982Conceptual Captions\uff09\uff1a\u89c4\u6a21\u5927\uff08\u5343\u4e07\u7ea7\uff09\u4f46\u6587\u672c\u566a\u58f0\u4e25\u91cd\uff08\u4e0e\u56fe\u50cf\u5185\u5bb9\u4e0d\u5339\u914d\uff09<\/li>\n<\/ul>\n\n\n\n

                                  CapFilt\u7684\u521b\u65b0\u5728\u4e8e\u901a\u8fc7\u6a21\u578b\u81ea\u8eab\u80fd\u529b\u63d0\u5347\u6570\u636e\u8d28\u91cf<\/strong>\uff0c\u5b9e\u73b0\"\u6570\u636e\u81ea\u4e3e\"\uff08Bootstrapping\uff09\uff0c\u800c\u4e0d\u662f\u7b80\u5355\u5730\u6df7\u5408\u6216\u4e22\u5f03\u6570\u636e\u3002<\/p>\n\n\n\n

                                  3.2 CapFilt\u7684\u53cc\u6a21\u5757\u67b6\u6784<\/h4>\n\n\n\n

                                  CapFilt\u7531\u4e24\u4e2a\u6838\u5fc3\u7ec4\u4ef6\u6784\u6210\uff0c\u4e8c\u8005\u90fd\u6e90\u81ea\u540c\u4e00\u9884\u8bad\u7ec3\u7684 BLIP \u6a21\u578b\uff0c\u5982\u4e0b\u56fe\u6240\u793a\uff1a<\/p>\n\n\n\n

                                  \"\"<\/figure>\n\n\n\n

                                  \u751f\u6210\u5668Captioner\u662f\u4e00\u4e2a image-grounded text decoder\uff0c\u901a\u8fc7\u63a9\u7801\u4efb\u52a1LM\u8fdb\u884c\u7684\u9884\u8bad\u7ec3\uff0c\u5373BILP\u4e2d\u7684\u4e0b\u56fe\u90e8\u5206\uff1a<\/p>\n\n\n

                                  \n
                                  \"\"
                                  Captioner\uff1aimage-grounded text decoder in BILP<\/figcaption><\/figure><\/div>\n\n\n

                                  \u751f\u6210\u5668Filter\u662f\u4e00\u4e2a image-grounded text encoder\uff0c\u901a\u8fc7\u5bf9\u6bd4\u8bad\u7ec3ITC\u548c\u5339\u914d\u4efb\u52a1ITM\u8fdb\u884c\u7684\u9884\u8bad\u7ec3\uff0c\u5373BILP\u4e2d\u7684\u4e0b\u56fe\u90e8\u5206\uff1a<\/p>\n\n\n

                                  \n
                                  \"\"
                                  Filter\uff1a image-grounded text encoder in BILP<\/figcaption><\/figure><\/div>\n\n\n

                                  \u521d\u59cb\u5316\u9636\u6bb5\uff0c\u4f7f\u7528\u57fa\u7840BLIP\u6a21\u578b\u5728\u539f\u59cb\u6df7\u5408\u6570\u636e\uff08\u4eba\u5de5+\u7f51\u7edc\u6570\u636e\uff09\u4e0a\u9884\u8bad\u7ec3\uff0c\u4ece\u6b64\u9884\u8bad\u7ec3\u6a21\u578b\u6d3e\u751f\u51fa\u4e24\u4e2a\u5206\u652f\uff1aCaptioner\u548cFilter\u3002<\/p>\n\n\n\n

                                  \u63a5\u4e0b\u6765\uff0cCaptioner\u548cFilter\u9700\u8981\u5728 COCO \u6570\u636e\u96c6\u4e0a\u5206\u522b\u8fdb\u884c\u5fae\u8c03\uff0c\u63d0\u8fdb\u4e00\u6b65\u63d0\u5347\u5176\u751f\u6210\u548c\u5224\u522b\u7684\u6027\u80fd\uff0c\u6574\u4f53\u5fae\u8c03\u8fc7\u7a0b\u5341\u5206\u8f7b\u91cf\u3002<\/p>\n\n\n\n

                                  \u5728\u4f7f\u7528Captioner\u548cFilter\u65f6\uff0c\u9996\u5148\u5bf9\u6bcf\u5f20\u7f51\u7edc\u56fe\u50cfIw\uff0cFilter\u5224\u522b\u5176\u4e0e\u5bf9\u5e94\u6587\u672c\u7684\u5339\u914d\u5ea6\uff0c\u9ad8\u4e8e\u8bbe\u5b9a\u9608\u503c\u5219\u89c6\u4e3a\u4f18\u8d28\u6837\u672c\u8fdb\u884c\u4fdd\u7559\uff0c\u5373\u56fe3\u4e2d\u7684{Iw\uff0cTw<\/mark>}\u3002\u540c\u65f6\uff0c\u5bf9\u6bcf\u5f20\u7f51\u7edc\u56fe\u50cfIw\uff0cCaptioner\u4e5f\u4f1a\u4e3a\u5176\u751f\u6210\u5bf9\u5e94\u7684\u6587\u672c\u63cf\u8ff0Ts\uff0c{Iw\uff0cTs}\u4e5f\u4f1a\u7ecf\u8fc7Filter\u7684\u5224\u522b\uff0c\u9ad8\u4e8e\u8bbe\u5b9a\u9608\u503c\u7684\u4f18\u8d28\u6837\u672c\u5bf9\u79f0\u4e3a{Iw\uff0cTs<\/mark>}\u3002\u6700\u540e\uff0c\u5728\u52a0\u4e0a\u9884\u8bad\u7ec3\u7684CoCo\u6570\u636e\u96c6{Iw\uff0cTh<\/mark>}\uff0c\u7ec4\u6210\u4e86\u6700\u7ec8BILP\u6a21\u578b\u7684\u8bad\u7ec3\u96c6\u3002<\/p>\n\n\n\n

                                  \u8bba\u6587\u4e2d\uff0c\u4f5c\u8005\u4e5f\u53ef\u89c6\u5316\u4e86Tw<\/mark>\u548c<\/mark>Ts<\/mark>\uff0c\u5373\u7f51\u7edc\u6837\u672c\u4e2d\u5339\u914d\u5ea6\u4e0d\u9ad8\u7684\u56fe\u6587\u5bf9{Iw\uff0cTw<\/mark>}\uff0c\u548cCapFilt\u751f\u6210\u7684\u56fe\u6587\u5bf9{Iw\uff0cTs<\/mark>}\uff0c\u5982\u4e0b\u56fe\u6240\u793a\uff1a<\/p>\n\n\n\n

                                  \"\"<\/figure>\n\n\n\n

                                  CapFilt\u901a\u8fc7Captioner\u751f\u6210\u5408\u6210\u63cf\u8ff0\u6269\u5c55\u9ad8\u8d28\u91cf\u6570\u636e\u89c4\u6a21\uff0c\u540c\u65f6\u901a\u8fc7Filter\u4e25\u683c\u8fc7\u6ee4\u4fdd\u8bc1\u6570\u636e\u7eaf\u51c0\u5ea6\u3002\u8fdb\u4e00\u6b65\u7684\uff0cBILP\u901a\u8fc7\u8bad\u7ec3\u4e0d\u65ad\u53d8\u5f3a\uff0c\u57fa\u4e8eBLIP\u7684Captioner\u548cFilter\u4e5f\u4f1a\u4e0d\u65ad\u53d8\u5f3a\uff0c\u5f62\u6210\u6b63\u5411\u53cd\u9988\u5faa\u73af\u3002\u8fd9\u79cd\u6570\u636e\u81ea\u4e3e\u8303\u5f0f\u4e3a\u89e3\u51b3AI\u4e2d\u7684\u6570\u636e\u74f6\u9888\u95ee\u9898\u63d0\u4f9b\u4e86\u65b0\u601d\u8def\u3002<\/mark><\/p>\n\n\n\n

                                  4. \u5b9e\u9a8c<\/h2>\n\n\n\n

                                  4.1 CapFilt\u7684\u6d88\u878d\u5b9e\u9a8c<\/h3>\n\n\n\n

                                  \u8868\u683c1\u5bf9\u6bd4\u4e86\u4e0d\u540c\u9884\u8bad\u7ec3\u6570\u636e\u96c6\u914d\u7f6e\u548c\u4e0d\u540c\u89c6\u89c9\u9aa8\u5e72\u7f51\u7edc\u4e0bCapFilt\u7684\u6027\u80fd\u8868\u73b0\uff0c\u4e3b\u8981\u8bc4\u4f30\u4e86\u56fe\u50cf-\u6587\u672c\u68c0\u7d22\u548c\u56fe\u50cf\u63cf\u8ff0\u751f\u6210\u4e24\u5927\u4efb\u52a1\u3002\u5982\u4e0b\u6240\u793a\uff1a<\/p>\n\n\n\n

                                  \"\"<\/figure>\n\n\n\n

                                  \u5728\u88681\u4e2d\uff0cC\u8868\u793acaptioner\uff0cF\u8868\u793aFilter\uff0c\u4e0b\u6e38\u4efb\u52a1\u5305\u62ec\u5e26\u6709\u5fae\u8c03 (FT) \u548c\u96f6\u6837\u672c (ZS)\u7684\u56fe\u6587\u68c0\u7d22\u4efb\u52a1\u548c\u6587\u5b57\u751f\u6210\u4efb\u52a1\u3002<\/p>\n\n\n\n

                                  \u6839\u636e\u7ed3\u679c\uff0c\u540c\u65f6\u4f7f\u7528C\u548cF\u7684\u6a21\u578b\uff0c\u5728\u68c0\u7d22\u4efb\u52a1\u548c\u751f\u6210\u4efb\u52a1\u4e0a\u90fd\u8fbe\u5230\u4e86\u6700\u597d\u7684\u6548\u679c\u3002\u800c\u4e14\uff0c\u5f53\u8bad\u7ec3\u96c6\u6269\u5927\uff0814M-->129M\uff09\u540e\uff0c\u5176\u7cbe\u5ea6\u7684\u63d0\u5347\u66f4\u52a0\u660e\u663e\u3002\u8fd9\u4e9b\u5b9e\u9a8c\u7ed3\u679c\u5145\u5206\u8bc1\u660e\u4e86CapFilt\u5728\u63d0\u5347\u89c6\u89c9-\u8bed\u8a00\u9884\u8bad\u7ec3\u6548\u679c\u65b9\u9762\u7684\u6709\u6548\u6027\uff0c\u7279\u522b\u662f\u5728\u6570\u636e\u8d28\u91cf\u548c\u6a21\u578b\u6cdb\u5316\u80fd\u529b\u65b9\u9762\u7684\u663e\u8457\u6539\u5584\u3002<\/p>\n\n\n\n

                                  4.2 BLIP\u4e0e\u524d\u6cbf\u65b9\u6cd5\u7684\u8de8\u6a21\u6001\u68c0\u7d22\u6027\u80fd\u5bf9\u6bd4\u5206\u6790<\/h3>\n\n\n\n
                                  \"\"<\/figure>\n\n\n\n

                                  \u8be5\u8868\u683c\u8be6\u7ec6\u6bd4\u8f83\u4e86BLIP\u4e0e\u5f53\u524d\u4e3b\u6d41\u89c6\u89c9-\u8bed\u8a00\u6a21\u578b\u5728\u56fe\u50cf-\u6587\u672c\u68c0\u7d22\u4efb\u52a1\u4e0a\u7684\u6027\u80fd\u8868\u73b0\uff0c\u6db5\u76d6COCO\u548cFlickr30K\u4e24\u4e2a\u6807\u51c6\u6d4b\u8bd5\u96c6\u3002BLIP(14M)\u76f8\u6bd4\u540c\u6570\u636e\u91cf\u7684ALBEF\uff0cTR@1\u63d0\u53473.0%\uff0cIR@1\u63d0\u53472%\uff0c\u5373\u4f7f\u76f8\u6bd4\u4f7f\u75281.8B\u6570\u636e\u7684ALIGN\uff0cBLIP\u4ecd\u4fdd\u6301\u663e\u8457\u4f18\u52bf\u3002\u6269\u5927\u6570\u636e\u81f3129M\u540e\uff0cBLIP\u7684\u6027\u80fd\u5f97\u5230\u8fdb\u4e00\u6b65\u63d0\u9ad8\u3002<\/p>\n\n\n\n

                                  4.3 BILP\u7684zero-shot\u80fd\u529b<\/h3>\n\n\n
                                  \n
                                  \"\"<\/figure><\/div>\n\n\n

                                  \u5982\u88686\u6240\u793a\uff0cBILP\u7684\u96f6\u6837\u672c\u68c0\u6d4b\u80fd\u529b\u4e00\u6837\u4f18\u79c0\uff0cBLIP\u4ec5\u5728\uff0814M\uff09\u7684\u6570\u636e\u91cf\u4e0b\u8bad\u7ec3\u7684\u6027\u80fd\u5c31\u8fdc\u8fdc\u597d\u4e8eCLIP\u5728\uff08400M\uff09\u7684\u6570\u636e\u91cf\u4e0b\u8bad\u7ec3\u5f97\u5230\u7684\u6027\u80fd\u3002\u4e00\u65b9\u9762\u662f\u56e0\u4e3aBLIP\u7684CapFilt\u53ef\u4ee5\u5927\u5e45\u63d0\u9ad8\u8bad\u7ec3\u96c6\u7684\u8d28\u91cf\uff0c\u53e6\u4e00\u65b9\u9762\u662f\u56e0\u4e3aBLIP\u5728\u6a21\u6001\u878d\u5408\u7aef\u6bd4CLIP\u505a\u7684\u597d\u5f88\u591a\u3002<\/p>\n\n\n\n

                                  4.4 VQA, NLVR<\/h2>\n\n\n\n

                                  \u4f5c\u8005\u56e2\u961f\u4e5f\u6d4b\u8bd5\u4e86BILP\u5728VQA\u548cNLVR\u4efb\u52a1\u4e0a\u7684\u6027\u80fd\uff0c\u4ee5\u8bc1\u660eBILP\u7684\u56fe\u6587\u7406\u89e3\u80fd\u529b\uff1a<\/p>\n\n\n

                                  \n
                                  \"\"<\/figure><\/div>\n\n\n

                                  5. \u603b\u7ed3<\/h2>\n\n\n\n

                                  BLIP\u8fd9\u4e00\u65b0\u578b\u89c6\u89c9-\u8bed\u8a00\u9884\u8bad\u7ec3\u6846\u67b6\u901a\u8fc7\u521b\u65b0\u7684\u6570\u636e\u81ea\u4e3e\u7b56\u7565\uff0c\u4ece\u5927\u89c4\u6a21\u566a\u58f0\u56fe\u50cf-\u6587\u672c\u5bf9\u4e2d\u6784\u5efa\u9884\u8bad\u7ec3\u6570\u636e\u96c6\uff1a\u4e00\u65b9\u9762\u6ce8\u5165\u591a\u6837\u5316\u7684\u5408\u6210\u63cf\u8ff0\uff0c\u53e6\u4e00\u65b9\u9762\u8fc7\u6ee4\u4f4e\u8d28\u91cf\u6587\u672c\u5185\u5bb9\uff0c\u8fdb\u800c\u8bad\u7ec3\u591a\u6a21\u6001\u6df7\u5408\u7f16\u7801\u5668-\u89e3\u7801\u5668\u6a21\u578b\u3002\u7814\u7a76\u56e2\u961f\u540c\u6b65\u5f00\u6e90\u4e86\u7ecf\u8fc7\u81ea\u4e3e\u5904\u7406\u7684\u6570\u636e\u96c6\uff0c\u4ee5\u4fc3\u8fdb\u89c6\u89c9-\u8bed\u8a00\u9886\u57df\u7684\u540e\u7eed\u63a2\u7d22\u3002<\/p>\n\n\n\n

                                  \u7814\u7a76\u8005\u6307\u51fa\u4e09\u4e2a\u6f5c\u5728\u7684\u6027\u80fd\u63d0\u5347\u65b9\u5411\uff1a(1) \u91c7\u7528\u591a\u8f6e\u8fed\u4ee3\u7684\u6570\u636e\u81ea\u4e3e\u6d41\u7a0b\uff1b(2) \u4e3a\u6bcf\u5f20\u56fe\u50cf\u751f\u6210\u591a\u6761\u5408\u6210\u63cf\u8ff0\u4ee5\u8fdb\u4e00\u6b65\u6269\u5c55\u9884\u8bad\u7ec3\u8bed\u6599\u89c4\u6a21\uff1b(3) \u901a\u8fc7\u96c6\u6210\u591a\u4e2a\u5f02\u6784\u63cf\u8ff0\u751f\u6210\u5668\u4e0e\u8fc7\u6ee4\u5668\u7684\u6a21\u578b\u7ec4\u5408\u7b56\u7565\u6765\u589e\u5f3aCapFilt\u673a\u5236\u7684\u6709\u6548\u6027\u3002\u8fd9\u9879\u7814\u7a76\u5de5\u4f5c\u7684\u91cd\u8981\u610f\u4e49\u5728\u4e8e\uff0c\u5b83\u542f\u793a\u540e\u7eed\u7814\u7a76\u5e94\u5f53\u540c\u6b65\u5173\u6ce8\u6a21\u578b\u67b6\u6784\u4e0e\u6570\u636e\u8d28\u91cf\u8fd9\u4e24\u4e2a\u89c6\u89c9-\u8bed\u8a00\u7814\u7a76\u7684\u6838\u5fc3\u8981\u7d20\uff0c\u4e3a\u9886\u57df\u53d1\u5c55\u63d0\u4f9b\u4e86\u65b0\u7684\u65b9\u6cd5\u8bba\u89c6\u89d2\u3002<\/p>\n","protected":false},"excerpt":{"rendered":"

                                  BLIP: Bootstrapping Language-Image Pre-training for Uni […]<\/p>\n","protected":false},"author":1,"featured_media":3067,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[29,18],"tags":[],"class_list":["post-3050","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-29","category-18"],"_links":{"self":[{"href":"http:\/\/gnn.club\/index.php?rest_route=\/wp\/v2\/posts\/3050","targetHints":{"allow":["GET"]}}],"collection":[{"href":"http:\/\/gnn.club\/index.php?rest_route=\/wp\/v2\/posts"}],"about":[{"href":"http:\/\/gnn.club\/index.php?rest_route=\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"http:\/\/gnn.club\/index.php?rest_route=\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"http:\/\/gnn.club\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=3050"}],"version-history":[{"count":5,"href":"http:\/\/gnn.club\/index.php?rest_route=\/wp\/v2\/posts\/3050\/revisions"}],"predecessor-version":[{"id":3068,"href":"http:\/\/gnn.club\/index.php?rest_route=\/wp\/v2\/posts\/3050\/revisions\/3068"}],"wp:featuredmedia":[{"embeddable":true,"href":"http:\/\/gnn.club\/index.php?rest_route=\/wp\/v2\/media\/3067"}],"wp:attachment":[{"href":"http:\/\/gnn.club\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=3050"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"http:\/\/gnn.club\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=3050"},{"taxonomy":"post_tag","embeddable":true,"href":"http:\/\/gnn.club\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=3050"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}