centipede 发表于 2025-3-21 17:30:13

书目名称Computer Vision – ECCV 2024影响因子(影响力)<br>        http://impactfactor.cn/if/?ISSN=BK0242304<br><br>        <br><br>书目名称Computer Vision – ECCV 2024影响因子(影响力)学科排名<br>        http://impactfactor.cn/ifr/?ISSN=BK0242304<br><br>        <br><br>书目名称Computer Vision – ECCV 2024网络公开度<br>        http://impactfactor.cn/at/?ISSN=BK0242304<br><br>        <br><br>书目名称Computer Vision – ECCV 2024网络公开度学科排名<br>        http://impactfactor.cn/atr/?ISSN=BK0242304<br><br>        <br><br>书目名称Computer Vision – ECCV 2024被引频次<br>        http://impactfactor.cn/tc/?ISSN=BK0242304<br><br>        <br><br>书目名称Computer Vision – ECCV 2024被引频次学科排名<br>        http://impactfactor.cn/tcr/?ISSN=BK0242304<br><br>        <br><br>书目名称Computer Vision – ECCV 2024年度引用<br>        http://impactfactor.cn/ii/?ISSN=BK0242304<br><br>        <br><br>书目名称Computer Vision – ECCV 2024年度引用学科排名<br>        http://impactfactor.cn/iir/?ISSN=BK0242304<br><br>        <br><br>书目名称Computer Vision – ECCV 2024读者反馈<br>        http://impactfactor.cn/5y/?ISSN=BK0242304<br><br>        <br><br>书目名称Computer Vision – ECCV 2024读者反馈学科排名<br>        http://impactfactor.cn/5yr/?ISSN=BK0242304<br><br>        <br><br>

只有 发表于 2025-3-22 00:11:49

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PANT 发表于 2025-3-22 03:29:13

https://doi.org/10.1007/978-3-031-72784-9artificial intelligence; computer networks; computer systems; computer vision; education; Human-Computer

crease 发表于 2025-3-22 07:03:31

978-3-031-72783-2The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl

轮流 发表于 2025-3-22 10:59:59

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GROVE 发表于 2025-3-22 15:38:22

General Introduction by Guerino Mazzolatruggle with problems of low overlap, thus limiting their practical usage. In this paper, we propose ML-SemReg, a plug-and-play point cloud registration framework that fully exploits semantic information. Our key insight is that mismatches can be categorized into two types, i.e., inter- and intra-cl

GROVE 发表于 2025-3-22 18:22:56

General Introduction by Guerino Mazzolaoaches heavily rely on laborious annotations and present hampered generalization ability due to the limited diversity of 3D pose datasets. To address these challenges, we propose a unified framework that leverages mask as supervision for unsupervised 3D pose estimation. With general unsupervised seg

使困惑 发表于 2025-3-22 21:23:07

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CT-angiography 发表于 2025-3-23 03:15:53

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开始没有 发表于 2025-3-23 09:16:52

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查看完整版本: Titlebook: Computer Vision – ECCV 2024; 18th European Confer Aleš Leonardis,Elisa Ricci,Gül Varol Conference proceedings 2025 The Editor(s) (if applic