June 8, 2022, 1:13 a.m. | Xiang Li, Jinglu Wang, Xiao Li, Yan Lu

cs.CV updates on arXiv.org arxiv.org

Recently, transformer-based image segmentation methods have achieved notable
success against previous solutions. While for video domains, how to effectively
model temporal context with the attention of object instances across frames
remains an open problem. In this paper, we propose an online video instance
segmentation framework with a novel instance-aware temporal fusion method. We
first leverages the representation, i.e., a latent code in the global context
(instance code) and CNN feature maps to represent instance- and pixel-level
features. Based on this …

arxiv cv fusion hybrid online video segmentation temporal video video instance segmentation

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