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The results establish explicit-implicit matching as an effective and efficient mechanism for spatio-temporal instance interaction and Integrating temporal MatchFusion into SparseDrive further improves perception within an E2E framework without additional supervision.
Unlock more robust 3D multi-object tracking by fusing asynchronous LiDAR and camera data, achieving state-of-the-art results on nuScenes.
LiDAR's metric accuracy can be effectively transferred to multi-view stereo depth estimation, yielding state-of-the-art performance in autonomous driving scenarios with improved temporal stability and cross-domain transfer.
