Long-Tailed 3D Detection via Multi-Modal Fusion

The paper tackles Long-Tailed 3D Detection (LT3D) by proposing a Multi-Modal Late Fusion (MMLF) framework for autonomous vehicles. It combines independently trained LiDAR and RGB detectors, matching detections on the 2D image plane, and uses score calibration to achieve state-of-the-art performance across both common and rare objects.

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