Competitive Memory Readout for Robust Video Object Segmentation: 2nd Place Technical Report for the MOSEv2 Track of the 8th LSVOS Challenge

• URL: http://arxiv.org/abs/2608.22064v1
• Date: Sat, 22 Aug 2026 18:09:51 GMT
• Title: Competitive Memory Readout for Robust Video Object Segmentation: 2nd Place Technical Report for the MOSEv2 Track of the 8th LSVOS Challenge
• Abstract summary: We present our solution for the 8th Large-scale Video Object (LSVOS) Challenge at ECCV 2026.<n>The challenge evaluates robust video object segmentation under complex temporal dynamics.<n>Our method builds on SAM3 and focuses on its memory readout.
• Score: 51.15679610275694
• License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
• Abstract: We present our solution for the MOSEv2 track of the 8th Large-scale Video Object Segmentation (LSVOS) Challenge at ECCV 2026. The challenge evaluates robust video object segmentation under complex temporal dynamics, including long-term occlusion, disappearance and reappearance, large appearance changes, and strong interference from visually similar objects. Our method builds on SAM~3 and focuses on its memory readout. Standard target-only memory retrieval can confuse the annotated target with same-class non-target objects because such distractors are represented only implicitly as background. Our method introduces Competitive Memory Readout, which explicitly incorporates same-class competitor evidence when retrieving target information from memory. To prevent excessive suppression of weak or reappearing targets, we further apply a lightweight adaptive restoration rule after competition. The resulting system retains the original SAM~3 tracking pipeline while improving target identity preservation in challenging videos. Our submission achieves 66.20 on the primary challenge score and ranks 2nd in the MOSEv2 track.

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