MVAT aggregates temporally repeated 2D-box-constrained LiDAR views of static objects to produce 3D pseudo-labels, then distills them into a single-frame 3D detector, achieving 47.6 mAP on nuScenes with no 3D labels.
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MVAT: Multi-View Aware Teacher for Weakly Supervised 3D Object Detection
MVAT aggregates temporally repeated 2D-box-constrained LiDAR views of static objects to produce 3D pseudo-labels, then distills them into a single-frame 3D detector, achieving 47.6 mAP on nuScenes with no 3D labels.