ChronoTrack enables effective long-term 3D single-object tracking in LiDAR by storing target features in compact learnable memory tokens regularized by temporal consistency and memory-cycle consistency losses, reaching SOTA accuracy at 42 FPS.
P2b: Point-to-box network for 3d object tracking in point clouds
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Temporally Consistent Long-Term Memory for 3D Single Object Tracking
ChronoTrack enables effective long-term 3D single-object tracking in LiDAR by storing target features in compact learnable memory tokens regularized by temporal consistency and memory-cycle consistency losses, reaching SOTA accuracy at 42 FPS.