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Papers Benchmarks Datasets Tasks

Point Cloud Segmentation research benchmarks · SOTA2 Research

Point Cloud Segmentation

Benchmarks

Dataset NameSOTA MethodSort

Dataset NameSOTA methodMetricTrendResultsLast Updated

SemanticKITTI v2 (test)

nD-RoPE (vector attention)

73.14Instance-Average mIoU

49

Jun 11, 2026

ScanNet v2 (val)

77.5mIoU

30

Apr 28, 2026

90.08Overall Accuracy

20

Jun 5, 2026

SemanticKITTI (val)

89.59OA

10

Jun 5, 2026

89.75Overall Accuracy (OA)

10

Jun 5, 2026

89.11OA

10

Jun 5, 2026

89.54Overall Accuracy

10

Jun 5, 2026

3DTeethSeg 1.0 (test)

83.83Incisor

10

Feb 26, 2026

ShapeNet-Part (test)

82.68F1 Score

8

Apr 7, 2026

Popular datasets

SemanticKITTI ScanNet S3DIS ShapeNet 3DTeethSeg

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