Alpha-Cells
发表于 2025-3-30 08:40:16
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大包裹
发表于 2025-3-30 13:35:30
,Totems: Physical Objects for Verifying Visual Integrity,h taken of that scene. Totems bend and redirect light rays, thus providing multiple, albeit distorted, views of the scene within a single image. A defender can use these distorted totem pixels to detect if an image has been manipulated. Our approach unscrambles the light rays passing through the tot
小臼
发表于 2025-3-30 19:04:03
,Dual-Stream Knowledge-Preserving Hashing for Unsupervised Video Retrieval,n frame-level temporal context changes without focusing on video-level global semantics that are more useful for retrieval. Hence, we address this problem by decomposing video information into reconstruction-dependent and semantic-dependent information, which disentangles the semantic extraction fro
BRINK
发表于 2025-3-30 22:58:05
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Negligible
发表于 2025-3-31 03:01:38
,Adaptive Cross-domain Learning for Generalizable Person Re-identification,nseen target domains. Most existing methods are challenged for dealing with the shared and specific characteristics among different domains, which is called the domain conflict problem. To address this problem, we present an Adaptive Cross-domain Learning (ACL) framework equipped with a CrOss-Domain
AER
发表于 2025-3-31 06:53:16
Multi-query Video Retrieval,Despite recent progress, imperfect annotations in existing video retrieval datasets have posed significant challenges on model evaluation and development. In this paper, we tackle this issue by focusing on the less-studied setting of multi-query video retrieval, where multiple descriptions are provi
感情
发表于 2025-3-31 10:22:55
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Exuberance
发表于 2025-3-31 13:30:37
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明智的人
发表于 2025-3-31 20:52:50
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闯入
发表于 2025-3-31 22:39:33
Domain Adaptive Person Search,nificant advances under fully and weakly supervised settings. However, existing methods ignore the generalization ability of the person search models. In this paper, we take a further step and present Domain Adaptive Person Search (DAPS), which aims to generalize the model from a labeled source doma