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Long Range Pooling for 3D Large-Scale Scene Understanding

CVPR 2023 · Architectures and efficiency › CNN design · approach: Higher-order pooling · 9 citations (OpenAlex)

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Measured effects reported in the paper

What was changedWhereMeasuredEffect
Add the LRP module after each stageVMNet U-Net · ScanNet v2 valmIoU (%): 71.2 -> 75.0Helped
Add max pooling without dilation or receptive-field selection (ablation)VMNet U-Net · ScanNet v2 valmIoU (%): 71.2 -> 72.6Helped
Add dilation to max pooling without receptive-field selection (ablation)VMNet U-Net · ScanNet v2 valmIoU (%): 72.6 -> 73.7Helped
Add receptive-field selection to max pooling without dilation (ablation)VMNet U-Net · ScanNet v2 valmIoU (%): 72.6 -> 73.1Helped
Use both dilated max pooling and receptive-field selection (ablation)VMNet U-Net · ScanNet v2 valmIoU (%): 73.7 -> 75.0Helped
Place LRP before stages rather than after them (ablation)VMNet U-Net · ScanNet v2 valmIoU (%): 75.0 -> 74.0Hurt
Place LRP in the middle of stages rather than after them (ablation)VMNet U-Net · ScanNet v2 valmIoU (%): 75.0 -> 73.4Hurt
Place LRP in a parallel branch rather than after stages (ablation)VMNet U-Net · ScanNet v2 valmIoU (%): 75.0 -> 73.1Hurt
Expand the max-pooling receptive-field range from ×3 to ×27 (ablation)LRP · ScanNet v2 valmIoU (%): 72.7 -> 73.9Helped
Use max pooling at ×3, ×9 and ×27 instead of ×27 only (ablation)LRP · ScanNet v2 valmIoU (%): 73.9 -> 75.0Helped
Replace dilation max pooling with dilation average pooling across the tested ranges (ablation)LRP · ScanNet v2 valmIoU (%): 75.0 -> 73.9Hurt
Replace dilation max pooling with dilation convolution across the tested ranges (ablation)LRP · ScanNet v2 valmIoU (%): 75.0 -> 73.8Hurt

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