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Fusion-Aware Point Convolution for Online Semantic 3D Scene Segmentation

CVPR 2020 · Point clouds › Point cloud classification · approach: Point cloud detection and tracking · 66 citations (OpenAlex)

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Measured effects reported in the paper

What was changedWhereMeasuredEffect
Add fusion-aware online 3D point convolutionOnline semantic 3D segmentation · ScanNetaccuracy: 0.566 -> 0.764Helped
Add fusion-aware online 3D point convolutionOnline semantic 3D segmentation · SceneNNaccuracy: 0.666 -> 0.675Helped
Use the proposed online segmentation methodScanNet 3D scene segmentation · ScanNetmean IOU: 0.715 -> 0.720Helped
Add 2D-3D feature fusion (ablation)Fusion-aware point convolution · ScanNetmean IOU: 0.711 -> 0.718Helped
Add frame-to-frame feature fusion (ablation)Fusion-aware point convolution · ScanNetmean IOU: 0.711 -> 0.713Helped
Add frame-to-frame feature fusion alongside 2D-3D feature fusion (ablation)Fusion-aware point convolution · ScanNetmean IOU: 0.718 -> 0.720Helped
Add 2D-3D feature fusion alongside frame-to-frame feature fusion (ablation)Fusion-aware point convolution · ScanNetmean IOU: 0.713 -> 0.720Helped
Use octree-induced surface-aware neighborhoods instead of Euclidean-distance neighborhoods (ablation)Point convolution for online segmentation · ScanNetaccuracyHelped
Increase the number of fused scansOnline semantic 3D segmentation · RGB-D sequencesaccuracyHelped

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