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cs.CV2026
Beyond Binary Contrast: Modeling Continuous Skeleton Action Spaces with Transitional Anchors
Yingjie Feng, Yi Wang, Jiaze Wang +2
Self-supervised contrastive learning has emerged as a powerful paradigm for skeleton-based action recognition by enforcing consistency in the embedding space. However, existing met…
cs.CV2026
GS-CLIP: Zero-shot 3D Anomaly Detection by Geometry-Aware Prompt and Synergistic View Representation Learning
Zehao Deng, An Liu, Yan Wang
Zero-shot 3D Anomaly Detection is an emerging task that aims to detect anomalies in a target dataset without any target training data, which is particularly important in scenarios…