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arXiv · 2604.22837

OAMVOS:2nd Report for 5th PVUW MOSE Track

Deshui Miao·Xingsen Huang·Yameng Gu·Xiaogang yu·Xin Li·Ming-Hsuan Yang
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Abstract

SAM-based dense trackers provide strong short-term mask propagation but remain fragile under long occlusion, fast motion, viewpoint change, and distractors. The problem is especially severe for small objects, where a few incorrect memory updates can dominate later predictions. This report presents an occlusion- and reappearance-aware extension of DAM4SAM that improves memory control rather than changing the backbone. The method augments the original SAM3 tracker with four ingredients: a reliability-aware tracking state machine, branch-based recovery, delayed DRM promotion, and a selective policy for native SAM3 memory selection. During stable tracking, the model follows the original single-path propagation process. Once confidence drops, the tracker enters an ambiguous or recovery mode, maintains a small set of candidate branches, and commits memory only after a branch is reconfirmed. For small-object disappearance and reappearance, native memory selection is temporarily bypassed so older anchors remain accessible. In addition, the first conditioning frame is explicitly preserved, and the conditioning-memory budget is moderately enlarged to improve long-gap recovery. The resulting design keeps DAM4SAM efficient in easy cases while improving robustness in sequences dominated by occlusion and reappearance.

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Deshui Miao, Xingsen Huang, Yameng Gu, Xiaogang yu, Xin Li, Ming-Hsuan Yang. 2026-04-20. OAMVOS:2nd Report for 5th PVUW MOSE Track. https://arxiv.org/abs/2604.22837

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