TrackCue uses dense image-space trajectories from point tracking and ego-motion compensation to improve static-dynamic classification and supervision for LiDAR scene flow estimation.
TAPVid-3D: A benchmark for tracking any point in 3D
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Motion Cues from Image-based Point Tracking for LiDAR Scene Flow Estimation
TrackCue uses dense image-space trajectories from point tracking and ego-motion compensation to improve static-dynamic classification and supervision for LiDAR scene flow estimation.