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TFTrack: A Template-Free Framework for Efficient 3D Point Cloud Tracking

Hu, Zhaofeng et al.
arXiv (All) · Papers
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artificial-intelligencecomputer-vision-and-pattern-recognition
LiDAR-based 3D Single Object Tracking (3D SOT) is critical for robotic perception and navigation and aims to localize dynamic objects across frames in sparse point clouds. Existing methods, rooted in the Siamese tracking paradigm from 2D vision, rely on costly dual-input designs and excessive motion
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