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Research map / Point clouds / Segmentation and detection

Not All Voxels Are Equal: Semantic Scene Completion from the Point-Voxel Perspective

AAAI 2022 · Point clouds › Segmentation and detection · approach: Scene completion and instance segmentation · 33 citations (OpenAlex)

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Measured effects reported in the paper

What was changedWhereMeasuredEffect
add AVA to the point-based baseline (ablation)PointNet++ baseline · NYUCAD testSSC mIoU: 51.4 -> 54.9Helped
add SP to the point-based baseline (ablation)PointNet++ baseline · NYUCAD testSSC mIoU: 51.4 -> 53.2Helped
add both AVA and SP (ablation)PointNet++ baseline · NYUCAD testSSC mIoU: 51.4 -> 56.9Helped
replace point-only processing with nearest-voxel aggregation (ablation)PVA-Net · NYUCAD testSSC mIoU: 53.2 -> 55.1Helped
replace point-only processing with spherical voxel aggregation (ablation)PVA-Net · NYUCAD testSSC mIoU: 53.2 -> 56.0Helped
use anisotropic rather than spherical receptive fields (ablation)PVA-Net · NYUCAD testSSC mIoU: 56.0 -> 56.9Helped
move AVA from SA-1 to SA-2 (ablation)PVA-Net · NYUCAD testSSC mIoU: 56.9 -> 55.7Hurt
move AVA from SA-1 to SA-3 (ablation)PVA-Net · NYUCAD testSSC mIoU: 56.9 -> 53.4Hurt
move AVA from SA-1 to SA-4 (ablation)PVA-Net · NYUCAD testSSC mIoU: 56.9 -> 53.8Hurt
apply AVA at every SA layer instead of only SA-1 (ablation)PVA-Net · NYUCAD testSSC mIoU: 56.9 -> 56.6Hurt
replace semantic-guided propagation with inverse Euclidean weights (ablation)PVA-Net · NYUCAD testSSC mIoU: 56.9 -> 54.9Hurt
replace semantic-guided propagation with cosine-similarity weights (ablation)PVA-Net · NYUCAD testSSC mIoU: 56.9 -> 54.4Hurt

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