痛打
发表于 2025-3-30 08:37:53
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配置
发表于 2025-3-30 15:34:56
,Learning Anomalies with Normality Prior for Unsupervised Video Anomaly Detection, are rare, diverse, and usually not well-defined. Existing UVAD methods are purely data-driven and perform unsupervised learning by identifying various abnormal patterns in videos. Since these methods largely rely on the feature representation and data distribution, they can only learn salient anoma
不理会
发表于 2025-3-30 20:31:04
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和蔼
发表于 2025-3-30 20:42:29
,FLAT: Flux-Aware Imperceptible Adversarial Attacks on 3D Point Clouds,g a variety of geometric constraints, existing adversarial attack solutions often display unsatisfactory imperceptibility due to inadequate consideration of uniformity changes. In this paper, we propose FLAT, a novel framework designed to generate imperceptible adversarial point clouds by addressing
套索
发表于 2025-3-31 02:58:30
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tackle
发表于 2025-3-31 07:05:25
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GRAZE
发表于 2025-3-31 10:28:39
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评论性
发表于 2025-3-31 13:43:09
,Anytime Continual Learning for Open Vocabulary Classification,rom batch training and rigid models by requiring that a system can predict any set of labels at any time and efficiently update and improve when receiving one or more training samples at any time. Despite the challenging goal, we achieve substantial improvements over recent methods. We propose a dyn
Fecundity
发表于 2025-3-31 20:53:46
,External Knowledge Enhanced 3D Scene Generation from Sketch,d diffusion architecture (SEK) for generating customized, diverse, and plausible 3D scenes. SEK conditions the denoising process with a hand-drawn sketch of the target scene and cues from an object relationship knowledge base. We first construct an external knowledge base containing object relations
缓解
发表于 2025-4-1 01:31:42
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