Evaluate and share your results (not available currently)
WHU3D Benchmark
MLS Instance Segmentation
Methods |
MUCov |
MWCov |
Pre |
Rec |
F1 |
oAcc |
mAcc |
mIoU |
JSIS3D |
0.162 |
0.194 |
0.104 |
0.108 |
0.106 |
0.681 |
0.305 |
0.225 |
SoftGroup |
0.297 |
0.319 |
0.099 |
0.289 |
0.115 |
0.741 |
0.448 |
0.250 |
SPFormer |
0.301 |
0.356 |
0.220 |
0.334 |
0.251 |
- |
- |
- |
ISBNet |
0.304 |
0.332 |
0.131 |
0.295 |
0.167 |
0.685 |
0.467 |
0.281 |
ALS Instance Segmentation
Methods |
MUCov |
MWCov |
Pre |
Rec |
F1 |
oAcc |
mAcc |
mIoU |
JSIS3D |
0.125 |
0.179 |
0.077 |
0.080 |
0.078 |
0.579 |
0.393 |
0.280 |
SoftGroup |
0.295 |
0.314 |
0.131 |
0.259 |
0.173 |
0.597 |
0.518 |
0.289 |
SPFormer |
0.420 |
0.458 |
0.110 |
0.378 |
0.151 |
- |
- |
- |
ISBNet |
0.328 |
0.352 |
0.226 |
0.315 |
0.228 |
0.764 |
0.643 |
0.530 |
MLS Semantic Segmentation
- |
KPConv |
Minkowski |
PointTransformer |
OctFormer |
oAcc |
0.840 |
0.837 |
0.829 |
0.849 |
mAcc |
0.518 |
0.649 |
0.644 |
0.641 |
IoU |
<KPConv |
Minkowski |
PointTransformer |
OctFormer |
Mean |
0.428 |
0.536 |
0.524 |
0.528 |
Tree |
0.875 |
0.869 |
0.860 |
0.884 |
Nd.way |
0.500 |
0.447 |
0.434 |
0.522 |
Building |
0.839 |
0.820 |
0.822 |
0.803 |
Box |
0.554 |
0.688 |
0.548 |
0.552 |
Light |
0.375 |
0.504 |
0.476 |
0.501 |
Ele.pole |
0.000 |
0.000 |
0.000 |
0.017 |
Mun.pole |
0.000 |
0.000 |
0.208 |
0.110 |
Low.veg. |
0.320 |
0.332 |
0.325 |
0.301 |
Board |
0.272 |
0.462 |
0.415 |
0.363 |
Drive Way |
0.854 |
0.834 |
0.824 |
0.869 |
Mark |
0.295 |
0.376 |
0.332 |
0.408 |
Vehicle |
0.896 |
0.870 |
0.820 |
0.872 |
Pedestrian |
0.809 |
0.782 |
0.677 |
0.793 |
Traff.light |
0.000 |
0.529 |
0.587 |
0.632 |
Detector |
0.000 |
0.156 |
0.273 |
0.188 |
Fence |
0.544 |
0.627 |
0.609 |
0.576 |
Wire |
0.000 |
0.721 |
0.665 |
0.568 |
Pole |
0.575 |
0.624 |
0.562 |
0.553 |
ALS Semantic Segmentation
Upload Your Results
Users could also upload your results to our benchmark page. The structure of the file should be:
mls.zip
└── h5
├── [scene_1].h5
├── [scene_2].h5
└── [scene_*].h5
Each file contains a "labels" key in it, with semantic and instance labels corresponding with coordinates.
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