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3D Semantic Segmentation on ScanNet200 (test)

24.6mIoU (f)Chorus
0.8887.04413.219.356Apr 28, 2025Jun 6, 2025Jul 15, 2025Aug 23, 2025Oct 1, 2025Nov 9, 2025Dec 19, 2025

Evaluation results

MethodLinks
ChorusTraining Source=SN, SN++, MP3D, #Training Scenes=x2.922025.1224.6————47.7
ChorusTraining Source=SN2025.1222.4————45.8
SceneSplatTraining Source=SN, SN++, MP3D, #Training Scenes=x2.922025.1221.4————38.7
SceneSplatTraining Source=SN2025.1218.9————31.7
Mosaic3DTraining Source=SN, SN++, MP3D, ARKitS, S3D, #Training Scenes=x24.32025.1215.7————28.3
Mosaic3DTraining Source=SN2025.1213————24.5
MPECOpen-Vocabulary=true2025.0410.8————27.4
RegionPLCTraining Source=SN2025.129.2————16.4
RegionPLCOpen-Vocabulary=true2025.049.1————17.3
OV3DOpen-Vocabulary=true2025.048.7—————
OV3DTraining Source=SN2025.128.7—————
OpenScene-3DOpen-Vocabulary=true, reproduced_by=OV3D2025.047.3—————
OpenSceneTraining Source=SN, #Training Scenes=x12025.126.4————12.2
PLAOpen-Vocabulary=true2025.041.8————3.1
PLATraining Source=SN2025.121.8————3.1
BFANetVenue=CVPR’252026.01—3655.329.319.3—
CeCoVenue=CVPR’232026.01—3455.124.718.1—
G2PVenue=-2026.01—35.555.328.618.7—
MinkUNetVenue=CVPR’192026.01—25.346.315.410.6—
MinkUNet (fine-tune)Backbone=MinkUNet, Training Data=ARKit LabelMaker SN200 -> ScanNet2002024.10—27.44919.49.4—
MinkUNet (vanilla)Backbone=MinkUNet, Training Data=ScanNet2002024.10—25.346.315.410.2—
OctFormerVenue=TOG’232026.01—32.653.926.513.1—
PonderV2Venue=CVPR’242026.01—34.655.22717.5—
PPTBackbone=PTv3, Training Data=ScanNet200 + S3DIS + Structure3D -> ScanNet2002024.10—39.359.23321.6—
PPT (joint-training)Backbone=PTv3, Training Data=ScanNet + ScanNet200 + ScanNet++ + Structure3D + ARKit LabelMaker2024.10—41.46132.227.1—
PTv3 (fine-tune)Backbone=PTv3, Training Data=ARKit LabelMaker -> ScanNet2002024.10—38.458.230.922.2—
PTv3 (vanilla)Backbone=PTv3, Training Data=ScanNet2002024.10—37.8————