{"id":9407,"date":"2026-06-21T01:00:27","date_gmt":"2026-06-20T17:00:27","guid":{"rendered":"https:\/\/infernews.com\/blog\/eccv2026-official-implementation-for-quot-selective-synergistic-learning-for-vid\/"},"modified":"2026-06-21T02:05:42","modified_gmt":"2026-06-20T18:05:42","slug":"eccv2026-official-implementation-for-quot-selective-synergistic-learning-for-vid","status":"publish","type":"post","link":"https:\/\/infernews.com\/blog\/eccv2026-official-implementation-for-quot-selective-synergistic-learning-for-vid\/","title":{"rendered":"SSync \u7528\u9078\u64c7\u5f0f\u84b8\u993e\u6539\u5584\u5f71\u7247\u7269\u4ef6\u5206\u89e3"},"content":{"rendered":"\n<figure class=\"wp-block-image size-large\"><img decoding=\"async\" src=\"https:\/\/infernews.com\/blog\/wp-content\/uploads\/2026\/06\/pasted-41de5d5d0355.jpg\" alt=\"SSync\"\/><\/figure>\n\n\n\n<p class=\"wp-block-paragraph\">\u73fe\u6709\u7684 video object-centric learning\uff08VOCL\uff09\u591a\u6578\u6cbf\u7528 slot-based frameworks\uff0c\u901a\u5e38\u5efa\u57fa\u65bc reconstruction-driven encoder\u2013decoder architectures\uff1aencoder \u7522\u751f attention maps\uff0cdecoder \u7522\u751f object maps\uff0c\u518d\u5617\u8a66\u628a\u5169\u8005\u5c0d\u9f4a\u3002\u8fd1\u5e74\u7684 dense alignment strategy \u6703\u5c0d\u6240\u6709 spatio-temporal patches \u505a contrastive learning\uff0c\u4f46\u9019\u7a2e\u5168\u5c0d\u5168\u5c0d\u9f4a\u6703\u628a encoder \u7684\u96dc\u8a0a\u548c decoder \u7684\u6a21\u7cca\u908a\u754c\u4e00\u4f75\u653e\u5927\uff0c\u8a08\u7b97\u91cf\u4ea6\u6703\u5347\u5230 quadratic complexity\uff0c\u5f71\u7247\u4e00\u9577\u5c31\u66f4\u96e3\u64f4\u5c55\u3002<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">SSync\uff08Selective Synergistic Learning\uff09\u5c6c\u65bc\u4e00\u500b\u53ef\u63d2\u5165\u73fe\u6709\u6d41\u7a0b\u7684 PyTorch \u5b78\u7fd2\u6a21\u7d44\uff0c\u76ee\u6a19\u662f\u6539\u5584\u5f71\u7247\u4e2d\u7684\u7269\u4ef6\u5206\u89e3\u8cea\u7d20\u3002\u5b83\u4e0d\u662f\u5f37\u8feb\u6240\u6709 patch \u5168\u9762\u4e00\u81f4\uff0c\u800c\u662f\u53ea\u6311\u9078\u8f03\u53ef\u4fe1\u7684\u8a0a\u865f\u505a mutual-distillation\uff1a\u7528 encoder \u5e6b\u624b\u4fee\u908a\u754c\uff0c\u7528 decoder \u6e05\u7406\u7269\u4ef6\u5167\u90e8\u96dc\u8a0a\uff0c\u65b9\u5411\u76f8\u7576\u660e\u78ba\u3002<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">\u9019\u9805\u76ee\u628a\u300c\u5168\u90e8\u90fd\u5c0d\u9f4a\u300d\u6539\u6210 selective distillation\uff0c\u4e26\u900f\u904e pseudo-labeling \u628a\u6210\u672c\u964d\u5230 linear complexity\u3002\u4f5c\u8005\u4ea6\u52a0\u5165 transitive pseudo-label merging\uff0c\u8655\u7406 slot redundancy\uff0c\u5c07\u6642\u5e8f\u4e0a\u53cd\u8986\u91cd\u758a\u7684 slots \u5408\u4f75\uff0c\u6e1b\u5c11\u6a21\u578b\u628a\u540c\u4e00\u7269\u4ef6\u62c6\u6210\u591a\u4efd\u7684\u504f\u5dee\u3002<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">\u5982\u679c\u4f60\u672c\u8eab\u6709\u7814\u7a76 Slot Attention\u3001\u5f71\u7247\u5206\u89e3\u3001\u7121\u76e3\u7763\u7269\u4ef6\u767c\u73fe\uff0c\u9019\u9805\u5de5\u4f5c\u76f8\u7576\u503c\u5f97\u7d30\u770b\uff1b\u5982\u679c\u4f60\u53ea\u662f\u60f3\u5feb\u901f\u8a66\u6982\u5ff5\uff0c\u4ea6\u53ef\u76f4\u63a5\u7559\u610f\u4f5c\u8005\u63d0\u4f9b\u7684 PyTorch implementation\u3001Hugging Face \u6b0a\u91cd\u548c project page\u3002\u5b83\u5c6c\u65bc plug-and-play module\uff0c\u8f03\u9069\u5408\u5df2\u6709 VOCL \u57fa\u790e\u6a21\u578b\u7684\u4eba\u63a5\u5165\u6bd4\u8f03\uff0c\u800c\u4e0d\u662f\u7d66\u5b8c\u5168\u96f6\u57fa\u790e\u8b80\u8005\u7576\u6210\u7368\u7acb\u61c9\u7528\u7a0b\u5f0f\u3002<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>\u6838\u5fc3\u554f\u984c\uff1adense alignment strategy \u8a08\u7b97\u6602\u8cb4\uff0c\u4ea6\u6703\u50b3\u64ad encoder \u8207 decoder \u5404\u81ea\u7684\u932f\u8aa4<\/li>\n\n\n\n<li>\u6838\u5fc3\u65b9\u6cd5\uff1aSelective Synergistic Learning \u53ea\u84b8\u993e\u53ef\u9760\u7dda\u7d22\uff0c\u5206\u958b\u8655\u7406 boundary refinement \u8207 interior denoising<\/li>\n\n\n\n<li>\u7d50\u69cb\u88dc\u5f37\uff1a\u52a0\u5165 transitive pseudo-label merging\uff0c\u6e1b\u5c11 slot redundancy<\/li>\n\n\n\n<li>\u8ad6\u6587\u8072\u7a31\uff1a\u53ef\u63d0\u5347 decomposition quality\uff0c\u4e26\u5c0d slot configurations \u6709\u8f03\u5f37 robustness<\/li>\n\n\n\n<li>\u76f8\u95dc\u6280\u8853\u8a5e\uff1aVOCL\u3001slot-based frameworks\u3001Slot Attention\u3001mutual-distillation\u3001pseudo-labeling<\/li>\n<\/ul>\n\n\n\n<p class=\"wp-block-paragraph\">\u6574\u9ad4\u4f86\u770b\uff0cSSync \u7684\u50f9\u503c\u4e0d\u5728\u65bc\u53e6\u8d77\u7210\u7076\uff0c\u800c\u662f\u5728\u65e2\u6709 slot-based video learning \u7bc4\u5f0f\u4e0a\uff0c\u76f4\u63a5\u6307\u51fa dense patch alignment \u7684\u5169\u500b\u75db\u9ede\uff1a\u932f\u8aa4\u50b3\u64ad\u8207\u8a08\u7b97\u64f4\u5f35\u3002\u5c0d\u7814\u7a76\u578b\u8b80\u8005\u800c\u8a00\uff0c\u9019\u6bd4\u55ae\u7d14\u518d\u5806\u6a21\u578b\u5bb9\u91cf\u66f4\u6709\u610f\u601d\uff1b\u5c0d\u5de5\u7a0b\u5c0e\u5411\u5718\u968a\u800c\u8a00\uff0c\u5b83\u4e5f\u63d0\u4f9b\u4e86\u4e00\u500b\u8f03\u5bb9\u6613\u63d2\u5165\u73fe\u6709\u9805\u76ee\u7684\u6539\u826f\u65b9\u5411\u3002<\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>GitHub\uff1a<\/strong> <a href=\"https:\/\/github.com\/wjun0830\/SSync\" rel=\"noopener noreferrer\">https:\/\/github.com\/wjun0830\/SSync<\/a><\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>\u9805\u76ee\uff1a<\/strong><a href=\"https:\/\/wjun0830.github.io\/SSync\/\" target=\"_blank\" rel=\"noreferrer noopener\">https:\/\/wjun0830.github.io\/SSync\/<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>SSync \u91dd\u5c0d\u5f71\u7247\u7269\u4ef6\u5206\u89e3\u5e38\u898b\u7684\u5c0d\u9f4a\u6210\u672c\u9ad8\u3001\u8a0a\u865f\u4e92\u76f8\u62d6\u7d2f\u554f\u984c\uff0c\u63d0\u51fa\u66f4\u7cbe\u6e96\u7684\u5b78\u7fd2\u65b9\u5f0f\u3002\u5b83\u4e0d\u662f\u6539\u6574\u5957\u67b6\u69cb\uff0c\u800c\u662f\u88dc\u5f37 slot-based \u65b9\u6cd5\u7684\u5f31\u9ede\u3002<\/p>\n","protected":false},"author":8,"featured_media":9406,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"ai_generated_summary":"","footnotes":""},"categories":[133,31,158,152,76,160,146,149,197],"tags":[],"class_list":["post-9407","post","type-post","status-publish","format-standard","hentry","category-133","category-video","category-ide","category-python","category-76","category-160","category-146","category-149","category-framework"],"_links":{"self":[{"href":"https:\/\/infernews.com\/blog\/wp-json\/wp\/v2\/posts\/9407","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=9407"}],"version-history":[{"count":2,"href":"https:\/\/infernews.com\/blog\/wp-json\/wp\/v2\/posts\/9407\/revisions"}],"predecessor-version":[{"id":9417,"href":"https:\/\/infernews.com\/blog\/wp-json\/wp\/v2\/posts\/9407\/revisions\/9417"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/infernews.com\/blog\/wp-json\/wp\/v2\/media\/9406"}],"wp:attachment":[{"href":"https:\/\/infernews.com\/blog\/wp-json\/wp\/v2\/media?parent=9407"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/infernews.com\/blog\/wp-json\/wp\/v2\/categories?post=9407"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/infernews.com\/blog\/wp-json\/wp\/v2\/tags?post=9407"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}