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Research map / Detection and segmentation / 3D detection and driving

LargeKernel3D: Scaling Up Kernels in 3D Sparse CNNs

CVPR 2023 · Detection and segmentation › 3D detection and driving · approach: 3D objectness and scene segmentation · 135 citations (OpenAlex)

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Measured effects reported in the paper

What was changedWhereMeasuredEffect
Replace plain sparse convolution blocks with SW-LK ConvMinkowskiNet-34 · ScanNetv2 valmIoU: 71.7 -> 73.5Helped
Replace plain sparse convolution blocks with SW-LK ConvMinkowskiNet-34 · ScanNetv2 testmIoUHelped
Use 7×7×7 plain kernels instead of 3×3×3 (ablation)MinkowskiNet-34 · ScanNetv2 valmIoU: 71.7 -> 68.6Hurt
Add GELU activation (ablation)MinkowskiNet-34 · ScanNetv2mIoU: 71.7 -> 70.2; 68.6 -> 68.4Hurt
Replace batch normalization with layer normalization (ablation)MinkowskiNet-34 · ScanNetv2mIoU: 71.7 -> 66.8; 68.6 -> 65.0Hurt
Use depth-wise convolution (ablation)MinkowskiNet-34 · ScanNetv2mIoU: 71.7 -> 70.6; 68.6 -> 68.7Hurt
Increase spatial group count from 2 to 16 (ablation)MinkowskiNet-34 with 7×7×7 kernels · ScanNetv2mIoU: 68.8 -> 68.7Mixed
Use a 1×1×1 center group without shifting (ablation)LargeKernel3D · ScanNetv2mIoU: 66.8 -> 73.5Helped
Increase center group size to 3×3×3 (ablation)LargeKernel3D · ScanNetv2mIoU: 73.5 -> 70.6Hurt
Increase center group size to 5×5×5 (ablation)LargeKernel3D · ScanNetv2mIoU: 73.5 -> 68.2Hurt
Add position embedding to 17×17×17 SW-LK (ablation)CenterPoint · Waymo val vehicle LEVEL_1mAP: 71.5 -> 73.2Helped
Add position embedding to 17×17×17 SW-LK (ablation)CenterPoint · Waymo val vehicle LEVEL_2mAP: 63.3 -> 65.1Helped

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