2 papers
cs.CV2026
STAR: Semantic-Temporal Adaptive Representation Learning for Few-Shot Action Recognition
Hongli Liu, Yu Wang, Shengjie Zhao
Few-shot action recognition (FSAR) requires models to generalize to novel action categories from only a handful of annotated samples. Despite progress with vision-language models,…
cs.CV2026
Unify the Views: View-Consistent Prototype Learning for Few-Shot Segmentation
Hongli Liu, Yu Wang, Shengjie Zhao
Few-shot segmentation (FSS) has gained significant attention for its ability to generalize to novel classes with limited supervision, yet remains challenged by structural misalignm…