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By learning to maintain a consistent memory of target features across time, ChronoTrack achieves state-of-the-art 3D single object tracking at real-time speeds.
3D Gaussian Splatting can self-filter inconsistent signals, and this paper shows how to amplify that property to achieve state-of-the-art robustness against distractors without sacrificing performance.