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cs.CV2026
FD: A Dedicated Framework for Fine-Grained Dataset Distillation
Hongxu Ma, Guang Li, Shijie Wang +5
Dataset distillation (DD) compresses a large training set into a small synthetic set, reducing storage and training cost, and has shown strong results on general benchmarks. Decoup…
cs.CV2025
Towards an Effective Action-Region Tracking Framework for Fine-grained Video Action Recognition
Baoli Sun, Yihan Wang, Xinzhu Ma +3
Fine-grained action recognition (FGAR) aims to identify subtle and distinctive differences among fine-grained action categories. However, current recognition methods often capture…
cs.CV2025
Referring Video Object Segmentation with Cross-Modality Proxy Queries
Baoli Sun, Xinzhu Ma, Ning Wang +2
Referring video object segmentation (RVOS) is an emerging cross-modality task that aims to generate pixel-level maps of the target objects referred by given textual expressions. Th…