{"id":11861,"date":"2026-09-04T01:18:33","date_gmt":"2026-09-03T17:18:33","guid":{"rendered":"https:\/\/infernews.com\/blog\/simloss-image-captioning\/"},"modified":"2026-09-04T01:19:22","modified_gmt":"2026-09-03T17:19:22","slug":"simloss-image-captioning","status":"publish","type":"post","link":"https:\/\/infernews.com\/blog\/simloss-image-captioning\/","title":{"rendered":"SimLoss \u7528\u55ae\u6b21\u751f\u6210\u591a\u968e\u6bb5\u5716\u50cf\u63cf\u8ff0"},"content":{"rendered":"\n<figure class=\"wp-block-image size-large\"><img decoding=\"async\" src=\"https:\/\/infernews.com\/blog\/wp-content\/uploads\/2026\/09\/pasted-00babbda0ff4.jpg\" alt=\"Repository image for srynsh\/SimLoss-Image-Captioning\"\/><\/figure>\n\n\n\n<p class=\"wp-block-paragraph\">UMass Amherst \u8207 Adobe Research \u5718\u968a\uff0c\u7784\u6e96\u7684\u662f\u5716\u50cf\u63cf\u8ff0\u5e38\u5e38\u53ea\u8b1b\u5230\u5927\u610f\u3001\u6f0f\u6389\u6750\u8cea\u3001\u6578\u91cf\u3001\u7d0b\u7406\u540c\u4f4d\u7f6e\u95dc\u4fc2\u7684\u554f\u984c\u3002SimLoss \u5c6c\u65bc\u5f71\u50cf captioning \u6a21\u578b\u8a13\u7df4\u65b9\u6cd5\uff0c\u6838\u5fc3\u4e0d\u662f\u518d\u52a0\u4e00\u689d\u5197\u9577\u5f8c\u8655\u7406\u6d41\u7a0b\uff0c\u800c\u662f\u4ee4 Vision-Language Model \u5728\u55ae\u6b21\u751f\u6210\u524d\uff0c\u5148\u628a\u96b1\u85cf\u72c0\u614b\u5c0d\u9f4a\u5f71\u50cf embedding\uff0c\u76f4\u63a5\u88dc\u56de\u7d30\u7bc0\u76e3\u7763\u3002<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">\u5b83\u7684\u6280\u8853\u95dc\u9375\uff0c\u5728\u65bc\u7528 reference-free \u7684 embedding-space objective \u53d6\u4ee3\u4eba\u624b\u64b0\u5beb\u7d30\u7c92\u5ea6 captions\uff0c\u4ea6\u5514\u9700\u8981\u5148\u8dd1\u591a\u968e\u6bb5\u7cfb\u7d71\u53bb\u88fd\u9020 pseudo-captions\u3002SimLoss \u5217\u51fa\u5169\u689d\u8def\u7dda\uff1aSimLoss FFT \u6703\u900f\u904e\u672c\u5730\u53ef\u7528\u7684 Qwen3-VL-Embedding-2B \u53cd\u5411\u50b3\u64ad\uff1bSimLoss GRPO \u5247\u628a Gemini Embedding 2 \u7576\u6210 black-box reward\u3002\u5169\u8005\u90fd\u5efa\u57fa\u65bc Qwen2.5-VL-7B-Instruct captioning policy\uff0c\u4f46\u524d\u8005\u504f\u5411\u76f4\u63a5\u505a\u8868\u5fb5\u5c0d\u9f4a\uff0c\u5f8c\u8005\u66f4\u63a5\u8fd1\u4ee5\u734e\u52f5\u8a0a\u865f\u5fae\u8abf\u3002<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">\u540c\u985e\u65b9\u6cd5\u5e38\u898b\u505a\u6cd5\uff0c\u662f\u751f\u6210\u3001\u62c6\u89e3\u3001\u9a57\u8b49\u3001\u91cd\u5beb\u9010\u6b65\u4fee\u88dc\u63cf\u8ff0\u5167\u5bb9\uff1bSimLoss \u63c0\u7684\u662f\u4fdd\u7559 single-pass inference\uff0c\u63db\u53d6\u66f4\u4f4e\u5ef6\u9072\uff0c\u518d\u7528\u5c0d\u6bd4\u5f0f\u5b78\u7fd2\u88dc\u56de\u7d30\u7bc0\u3002\u4ee3\u50f9\u662f\u5b83\u4ecd\u7136\u4f9d\u8cf4\u5916\u90e8 embedding \u6a21\u578b\u54c1\u8cea\uff0c\u800c\u4e14\u9805\u76ee\u5c55\u793a\u7684\u662f\u7814\u7a76\u57fa\u6e96\u8207\u8a13\u7df4\u6846\u67b6\uff0c\u4e0d\u662f\u5373\u88dd\u5373\u7528\u7684\u6210\u54c1\u670d\u52d9\u3002<\/p>\n\n\n\n<figure class=\"wp-block-image size-full\"><img data-dominant-color=\"978269\" data-has-transparency=\"false\" style=\"--dominant-color: #978269;\" loading=\"lazy\" decoding=\"async\" width=\"985\" height=\"1024\" src=\"https:\/\/infernews.com\/blog\/wp-content\/uploads\/2026\/09\/image.png\" alt=\"\" class=\"wp-image-11863 not-transparent\" srcset=\"https:\/\/infernews.com\/blog\/wp-content\/uploads\/2026\/09\/image.png 985w, https:\/\/infernews.com\/blog\/wp-content\/uploads\/2026\/09\/image-289x300.png 289w, https:\/\/infernews.com\/blog\/wp-content\/uploads\/2026\/09\/image-768x798.png 768w\" sizes=\"auto, (max-width: 985px) 100vw, 985px\" \/><\/figure>\n\n\n\n<p class=\"wp-block-paragraph\">IIW-400 \u6e2c\u8a66\u4e2d\uff0cSimLoss FFT \u914d\u5408 Qwen2.5-VL-7B backbone\uff0c\u628a precision \u7531\u672a\u8abf\u6574 backbone \u7684 0.788 \u63d0\u5347\u5230 0.849\uff0cF1 \u8207\u591a\u968e\u6bb5 CapMAS \u63a5\u8fd1\u5230\u96e3\u4ee5\u5340\u5206\uff0c\u540c\u6642\u63a8\u7406\u901f\u5ea6\u7d04\u5feb 20 \u500d\uff1bSimLoss GRPO \u5247\u62ff\u5230\u6700\u5f37 recall\u3002\u5462\u500b\u53d6\u6368\u5e7e\u5be6\u969b\uff1a\u60f3\u8981\u66f4\u6e96\u78ba\u5730\u8b1b\u51fa\u756b\u9762\u7d30\u7bc0\uff0c\u53c8\u5514\u60f3\u63a5\u53d7\u591a\u6b65\u9a57\u8b49\u5ef6\u9072\u7684\u5718\u968a\uff0c\u6703\u6bd4\u4e00\u822c captioning fine-tune \u66f4\u611f\u53d7\u5230\u5dee\u5225\u3002<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>\u540c\u4e00\u5132\u5b58\u5eab\u653e\u5165 SimLoss\u3001CapMAS\u3001PAPO\u3001DCScore RL \u7b49\u57fa\u7dda\uff0c\u65b9\u4fbf\u76f4\u63a5\u6bd4\u8f03<\/li>\n\n\n\n<li>\u55ae\u6b21\u751f\u6210\u4fdd\u7559\u4f4e\u5ef6\u9072\uff0c\u540c\u6642\u88dc\u8db3 attributes\u3001counts\u3001textures\u3001materials\u3001spatial relations<\/li>\n\n\n\n<li>\u63d0\u4f9b\u65b9\u6cd5\u5206\u76ee\u9304\u3001\u8cc7\u6599\u8207 checkpoint \u8aaa\u660e\uff0c\u4f46\u5927\u578b\u8cc7\u6599\u8207\u6a21\u578b\u6a94\u6848\u672a\u96a8\u5132\u5b58\u5eab\u9644\u4e0a<\/li>\n<\/ul>\n\n\n\n<p class=\"wp-block-paragraph\">\u7814\u7a76\u3001\u5167\u5bb9\u7406\u89e3\u3001\u5f71\u50cf\u641c\u5c0b\u6a19\u8a3b\uff0c\u751a\u81f3\u8981\u70ba\u96fb\u5546\u5716\u7247\u6216\u8996\u89ba\u8cc7\u7522\u5efa\u7acb\u66f4\u7d30\u7dfb\u63cf\u8ff0\u7684\u5718\u968a\uff0c\u90fd\u6703\u8f03\u5bb9\u6613\u53d7\u76ca\u3002\u5b89\u88dd\u8207\u57f7\u884c\u5165\u53e3\u5728\u5132\u5b58\u5eab\u5167\u6709 setup \u8207\u5404\u65b9\u6cd5\uff0c\u4f46\u76ee\u524d\u516c\u958b\u8cc7\u8a0a\u4e3b\u8981\u6307\u5411\u7814\u7a76\u5fa9\u73fe\u6d41\u7a0b\uff1b\u60f3\u5b8c\u6574\u91cd\u8dd1\u8a13\u7df4\u6216\u5ef6\u9072\u57fa\u6e96\uff0c\u4ecd\u8981\u53e6\u5916\u8655\u7406\u8cc7\u6599\u96c6\u3001checkpoint \u540c\u5c0d\u61c9\u904b\u884c\u74b0\u5883\u3002<\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><a href=\"https:\/\/srynsh.github.io\/SimLoss-Image-Captioning\/\" rel=\"noopener noreferrer\"><strong>\u9805\u76ee\u4e3b\u9801<\/strong><\/a> \u00b7 <a href=\"https:\/\/github.com\/srynsh\/SimLoss-Image-Captioning\" rel=\"noopener noreferrer\"><strong>GitHub<\/strong><\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>\u7531 UMass Amherst \u8207 Adobe Research \u5718\u968a\u958b\u767c\uff0cSimLoss \u60f3\u89e3\u6c7a\u5716\u50cf\u63cf\u8ff0\u592a\u7c60\u7d71\u7684\u8001\u554f\u984c\u3002\u5b83\u628a\u7d30\u7bc0\u76e3\u7763\u642c\u5230 embedding space\uff0c\u63db\u4f86\u66f4\u5feb\u63a8\u7406\u8207\u66f4\u9ad8\u63cf\u8ff0\u7cbe\u7d30\u5ea6\u3002<\/p>\n","protected":false},"author":8,"featured_media":11860,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"wpai_generated_summary":"","footnotes":""},"categories":[133,185,140,30,131,119,149],"tags":[],"class_list":["post-11861","post","type-post","status-publish","format-standard","hentry","category-133","category-qwen","category-gemini","category-image","category-embedding","category-119","category-149"],"_links":{"self":[{"href":"https:\/\/infernews.com\/blog\/wp-json\/wp\/v2\/posts\/11861","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/infernews.com\/blog\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/infernews.com\/blog\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/infernews.com\/blog\/wp-json\/wp\/v2\/users\/8"}],"replies":[{"embeddable":true,"href":"https:\/\/infernews.com\/blog\/wp-json\/wp\/v2\/comments?post=11861"}],"version-history":[{"count":1,"href":"https:\/\/infernews.com\/blog\/wp-json\/wp\/v2\/posts\/11861\/revisions"}],"predecessor-version":[{"id":11864,"href":"https:\/\/infernews.com\/blog\/wp-json\/wp\/v2\/posts\/11861\/revisions\/11864"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/infernews.com\/blog\/wp-json\/wp\/v2\/media\/11860"}],"wp:attachment":[{"href":"https:\/\/infernews.com\/blog\/wp-json\/wp\/v2\/media?parent=11861"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/infernews.com\/blog\/wp-json\/wp\/v2\/categories?post=11861"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/infernews.com\/blog\/wp-json\/wp\/v2\/tags?post=11861"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}