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PointWeb: Enhancing Local Neighborhood Features for Point Cloud Processing

CVPR 2019 · Point clouds › Point cloud classification · approach: Local feature aggregation networks · 886 citations (OpenAlex)

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Measured effects reported in the paper

What was changedWhereMeasuredEffect
add the AFA module with densely connected local point features (ablation)PointNet++ / PointWeb · S3DIS Area 5mIoU: 55.88 -> 60.28Helped
add the AFA module with densely connected local point features (ablation)PointNet++ / PointWeb · S3DIS Area 5mAcc: 62.30 -> 66.64Helped
add the AFA module with densely connected local point features (ablation)PointNet++ / PointWeb · S3DIS Area 5OA: 85.29 -> 86.97Helped
use feature subtraction rather than no combination, summation, or concatenation for paired features (ablation)PointWeb impact function · S3DIS Area 5mIoU: 55.12 / 53.07 / 58.65 -> 60.28Helped
apply Softmax to impact coefficients (ablation)PointWeb · S3DIS Area 5mIoU: 60.28 -> 59.11Hurt
share impact weights across channels (ablation)PointWeb · S3DIS Area 5mIoU: 60.28 -> 58.27Hurt
apply impact factors directly to features rather than to feature differences (ablation)PointWeb relation function · S3DIS Area 5mIoU: 59.79 -> 60.28Hurt
replace PointWeb's adaptive impact mechanism with GANN-style attention (ablation)PointWeb · S3DIS Area 5mIoU: 58.23 -> 60.28Hurt

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