CLIP, as a vision-language model, has significantly advanced Open-Vocabulary Semantic Segmentation (OVSS) with its zero-shot generalization. Despite its success, its application to OVSS is limited due to its initial image-level alignment training, which affects its performance in tasks requiring detailed local context....
Tong Shao, Zhuo-Tao Tian, Yun-Yang Mo et al.· IEEE Transactions on Pattern...· 0 citations
Video world models simulate future states conditioned on current observations and user actions. Recent systems have demonstrated impressive video consistency and action controllability over long sequences. However, fairly comparing these interactive models remains challenging. In practice, a human player typically eval...
Kai Ding, Xi Chen, Minghong Cai et al.· 1 citation
Scaling robot data is crucial for building generalist Vision-Language-Action (VLA) models, yet robot trajectories are harder to scale than web-scale image-text data because embodied collection is costly and sparsely covers the physical world. This makes representation quality a central bottleneck: under a fixed robot-d...
Senqiao Yang, Chengyao Wang, Yuxin Chen et al.· 2 citations
The OmniEdit-Bench provides a comprehensive and reliable testbed for evaluating instruction-based video editing and offers insights into future research directions, including an accuracy-aware penalty mechanism that conditions other scores on accuracy, preventing visually plausible but incorrect edits from receiving in...
Chenxuan Miao, Yutong Feng, Yi Lu et al.· 1 citation
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