Abstract: Highlights•Propose a novel self-supervised framework with bi-decoders for VOS.•Reduce the gap between pseudo labels and unknown ground-truth for model learning.•Pseudo label rectification via bi-decoders mutual learning.•Achieve SOTA performance on the challenging benchmark datasets.
External IDs:dblp:journals/pr/GuoZLFZ25
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