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Another question is that it seems that the KITTI-format labels converted for validation datasets include the bboxes whose depth <0. During calculating mAP, these bounding boxes are also counted as target labels? Would that influence the mAP on waymo dataset?
It seems that your method achieves comparative performance with CaDDN on KITTI datasets.
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