3 papers
cs.CV2025
ContextRefine-CLIP for EPIC-KITCHENS-100 Multi-Instance Retrieval Challenge 2025
Jing He, Yiqing Wang, Lingling Li +2
This report presents ContextRefine-CLIP (CR-CLIP), an efficient model for visual-textual multi-instance retrieval tasks. The approach is based on the dual-encoder AVION, on which w…
cs.CV2025
STSeg-Complex Video Object Segmentation: The 1st Solution for 4th PVUW MOSE Challenge
Kehuan Song, Xinglin Xie, Kexin Zhang +3
Segmentation of video objects in complex scenarios is highly challenging, and the MOSE dataset has significantly contributed to the development of this field. This technical report…
cs.CV2024
LSVOS Challenge 3rd Place Report: SAM2 and Cutie based VOS
Xinyu Liu, Jing Zhang, Kexin Zhang +2
Video Object Segmentation (VOS) presents several challenges, including object occlusion and fragmentation, the dis-appearance and re-appearance of objects, and tracking specific ob…