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Report of the 8th LSVOS Challenge: Complex and Multimodal Video Object Segmentation

arXiv · AI, language, vision and robotics · article · Sep 5, 2026 · UTC

This report summarizes the 8th Large-scale Video Object Segmentation (LSVOS) Challenge, held in conjunction with ECCV 2026. The challenge evaluates video segmentation in three complementary settings: complex semi-supervised video object segmentation on MOSEv2, text-guided referring video object segmentation on MeViSv2-Text, and audio-guided referring video object segmentation on MeViSv2-Audio. We describe the tasks and evaluation protocols and review the methods of the top three teams in each track. Across the nine leading solutions, foundation segmentation models are combined with target-awar

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Evidence & attribution

First collected: 2026-09-20T21:32:07.623Z. This is not the publication date.