AI RESEARCH
FocusTrack: One-Stage Focus-and-Suppress Framework for 3D Point Cloud Object Tracking
arXiv CS.CV
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ArXi:2602.24133v2 Announce Type: replace In 3D point cloud object tracking, the motion-centric methods have emerged as a promising avenue due to its superior performance in modeling inter-frame motion. However, existing two-stage motion-based approaches suffer from fundamental limitations: (1) error accumulation due to decoupled optimization caused by explicit foreground segmentation prior to motion estimation, and (2) computational bottlenecks from sequential processing.