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Found 2 papers, 0 papers with code
Consistent Video Instance Segmentation with Inter-Frame Recurrent Attention
We propose a consistent end-to-end video instance segmentation framework with Inter-Frame Recurrent Attention to model both the temporal instance consistency for adjacent frames and the global temporal context.
RefineVIS: Video Instance Segmentation with Temporal Attention Refinement
We introduce a novel framework called RefineVIS for Video Instance Segmentation (VIS) that achieves good object association between frames and accurate segmentation masks by iteratively refining the representations using sequence context.
Ranked #3 on
Video Instance Segmentation
on YouTube-VIS 2021
(using extra training data)
