5 citations · 7 across the 2 of their papers we have counts for
2 papers
cs.CV2023★ 5 cited
UVOSAM: A Mask-free Paradigm for Unsupervised Video Object Segmentation via Segment Anything Model
Zhenghao Zhang, Shengfan Zhang, Zhichao Wei +2
The current state-of-the-art methods for unsupervised video object segmentation (UVOS) require extensive training on video datasets with mask annotations, limiting their effectiven…
cs.CV2023★ 2 cited
Towards Robust Video Instance Segmentation with Temporal-Aware Transformer
Zhenghao Zhang, Fangtao Shao, Zuozhuo Dai +1
Most existing transformer based video instance segmentation methods extract per frame features independently, hence it is challenging to solve the appearance deformation problem. I…