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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
Consistency Beyond Contrast: Enhancing Open-Vocabulary Object Detection Robustness via Contextual Consistency Learning
Bozhao Li, Shaocong Wu, Tong Shao +4
Recent advances in open-vocabulary object detection focus primarily on two aspects: scaling up datasets and leveraging contrastive learning to align language and vision modalities.…
cs.CV2026
SODA: Sensitivity-Oriented Dynamic Acceleration for Diffusion Transformer
Tong Shao, Yusen Fu, Guoying Sun +3
Diffusion Transformers have become a dominant paradigm in visual generation, yet their low inference efficiency remains a key bottleneck hindering further advancement. Among common…