A differentiable IoU loss layer for rotated 2D and 3D bounding boxes improves SECOND, PointPillars, and PointRCNN on KITTI relative to the standard L1 regression loss.
Frustum pointnets for 3d object detection from rgb- d data
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IoU Loss for 2D/3D Object Detection
A differentiable IoU loss layer for rotated 2D and 3D bounding boxes improves SECOND, PointPillars, and PointRCNN on KITTI relative to the standard L1 regression loss.