A self-training loop with a mask-quality filter, learned on synthetic data, raises unsupervised video instance segmentation on YouTubeVIS-2019 to 52.6 AP50, above VideoCutLER's 48.2.
Vita: Video instance segmentation via object token association
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AutoQ-VIS: Improving Unsupervised Video Instance Segmentation via Automatic Quality Assessment
A self-training loop with a mask-quality filter, learned on synthetic data, raises unsupervised video instance segmentation on YouTubeVIS-2019 to 52.6 AP50, above VideoCutLER's 48.2.