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MLCVNet: Multi-Level Context VoteNet for 3D Object Detection

CVPR 2020 · Detection and segmentation › 3D detection and driving · approach: Unified LiDAR 3D detection · 213 citations (OpenAlex)

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Measured effects reported in the paper

What was changedWhereMeasuredEffect
Add multi-level contextual modules (PPC, OOC, and GSC)VoteNet · SUN RGB-D V1 validationmAP@0.25: 57.7 -> 59.8Helped
Add multi-level contextual modules (PPC, OOC, and GSC)VoteNet · ScanNetV2 validationmAP@0.25: 58.6 -> 64.5Helped
Add multi-level contextual modules (PPC, OOC, and GSC)VoteNet · ScanNetV2 validationmAP@0.5: 33.5 -> 41.4Helped
Add PPC (ablation)VoteNet · SUN RGB-D testmAP@0.25: 57.8 -> 58.6Helped
Add PPC (ablation)VoteNet · ScanNet testmAP@0.25: 59.6 -> 62.2Helped
Add OOC after PPC (ablation)MLCVNet with PPC · SUN RGB-D testmAP@0.25: 58.6 -> 59.1Helped
Add OOC after PPC (ablation)MLCVNet with PPC · ScanNet testmAP@0.25: 62.2 -> 63.4Helped
Add GSC after PPC and OOC (ablation)MLCVNet with PPC and OOC · SUN RGB-D testmAP@0.25: 59.1 -> 59.8Helped
Add GSC after PPC and OOC (ablation)MLCVNet with PPC and OOC · ScanNet testmAP@0.25: 63.4 -> 64.5Helped

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