AI RESEARCH
Temporally Consistent Long-Term Memory for 3D Single Object Tracking
arXiv CS.CV
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ArXi:2604.13789v1 Announce Type: new 3D Single Object Tracking (3D-SOT) aims to localize a target object across a sequence of LiDAR point clouds, given its 3D bounding box in the first frame. Recent methods have adopted a memory-based approach to utilize previously observed features of the target object, but remain limited to only a few recent frames. This work reveals that their temporal capacity is fundamentally constrained to short-term context due to severe temporal feature inconsistency and excessive memory overhead.