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GrooMeD-NMS: Grouped Mathematically Differentiable NMS for Monocular 3D Object Detection

CVPR 2021 · Detection and segmentation › 3D detection and driving · approach: Unified LiDAR 3D detection · 101 citations (OpenAlex)

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Measured effects reported in the paper

What was changedWhereMeasuredEffect
Train with GrooMeD-NMS rather than applying NMS only at inferenceM3D-RPN-based monocular 3D detector · KITTI Val 1 Cars, 3D AP40 IoU≥0.7 ModerateAP3D40: 13.55 -> 14.32Helped
Add a confidence head (ablation)GrooMeD-NMS detector · KITTI Val 1 Cars, 3D AP40 IoU≥0.7 ModerateAP3D40: 12.10 -> 13.89Helped
Add NMS training (ablation)Confidence-head detector · KITTI Val 1 Cars, 3D AP40 IoU≥0.7 ModerateAP3D40: 13.89 -> 14.32Helped
Use confidence scores rather than classification scores for NMS (ablation)GrooMeD-NMS detector · KITTI Val 1 Cars, 3D AP40 IoU≥0.7 ModerateAP3D40: 11.21 -> 14.32Helped
Add warmup initialization (ablation)GrooMeD-NMS detector · KITTI Val 1 Cars, 3D AP40 IoU≥0.7 ModerateAP3D40: 11.68 -> 14.32Helped
Use linear rather than exponential pruning (τ=1) (ablation)GrooMeD-NMS · KITTI Val 1 Cars, 3D AP40 IoU≥0.7 ModerateAP3D40: 9.26 -> 14.32Helped
Use linear rather than exponential pruning (τ=0.5) (ablation)GrooMeD-NMS · KITTI Val 1 Cars, 3D AP40 IoU≥0.7 ModerateAP3D40: 13.85 -> 14.32Helped
Use linear rather than exponential pruning (τ=0.1) (ablation)GrooMeD-NMS · KITTI Val 1 Cars, 3D AP40 IoU≥0.7 ModerateAP3D40: 13.79 -> 14.32Helped
Use linear rather than sigmoidal pruning (τ=0.1) (ablation)GrooMeD-NMS · KITTI Val 1 Cars, 3D AP40 IoU≥0.7 ModerateAP3D40: 13.21 -> 14.32Helped
Add grouping (ablation)GrooMeD-NMS · KITTI Val 1 Cars, 3D AP40 IoU≥0.7 ModerateAP3D40: 13.91 -> 14.32Helped
Add masking to grouped NMS (ablation)GrooMeD-NMS · KITTI Val 1 Cars, 3D AP40 IoU≥0.7 ModerateAP3D40: 13.74 -> 14.32Helped
Use Imagewise AP rather than Vanilla AP loss (ablation)GrooMeD-NMS · KITTI Val 1 Cars, 3D AP40 IoU≥0.7 ModerateAP3D40: 13.73 -> 14.32Helped

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