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Models/Superpoint Transformer

Superpoint Transformer

Reported on 29 benchmarks across 3 tasks · 1 paper · 9 SOTA

Note: results are matched by exact model name. Different papers may use the same name for different model variants.

Medical13 results

Semantic SegmentationonS3DIS
mIoU· 2023-06-13
76
SOTA
Efficient 3D Semantic Segmentation with Superpoint Transformer arXiv:2306.08045
Semantic SegmentationonKITTI-360
miou Val· 2023-06-13
63.5
best: 64.1 (DA-supervised)
SOTA
Efficient 3D Semantic Segmentation with Superpoint Transformer arXiv:2306.08045
Semantic SegmentationonS3DIS
mIoU (6-Fold)· 2023-06-13
76
SOTA
Efficient 3D Semantic Segmentation with Superpoint Transformer arXiv:2306.08045
Semantic SegmentationonS3DIS Area5
mAcc· 2023-06-13
77.3
best: 81.6 (Sonata + PTv3)
Efficient 3D Semantic Segmentation with Superpoint Transformer arXiv:2306.08045
Semantic SegmentationonS3DIS Area5
mIoU· 2023-06-13
68.9
best: 76 (Sonata + PTv3)
Efficient 3D Semantic Segmentation with Superpoint Transformer arXiv:2306.08045
Semantic SegmentationonS3DIS Area5
oAcc· 2023-06-13
89.5
best: 93 (Sonata + PTv3)
Efficient 3D Semantic Segmentation with Superpoint Transformer arXiv:2306.08045
Semantic SegmentationonS3DIS
Mean IoU· 2023-06-13
76
best: 82.3 (Sonata + PTv3)
Efficient 3D Semantic Segmentation with Superpoint Transformer arXiv:2306.08045
Semantic SegmentationonS3DIS
Params (M)· 2023-06-13
0.212
best: 41.6 (PointNeXt-XL)
Efficient 3D Semantic Segmentation with Superpoint Transformer arXiv:2306.08045
Semantic SegmentationonS3DIS
mAcc· 2023-06-13
85.8
best: 89.9 (Sonata + PTv3)
Efficient 3D Semantic Segmentation with Superpoint Transformer arXiv:2306.08045
Semantic SegmentationonS3DIS
oAcc· 2023-06-13
90.4
best: 93.3 (Sonata + PTv3)
Efficient 3D Semantic Segmentation with Superpoint Transformer arXiv:2306.08045
Semantic SegmentationonDALES
Overall Accuracy· 2023-06-13
97.5
best: 97.8 (KPConv)
Efficient 3D Semantic Segmentation with Superpoint Transformer arXiv:2306.08045
Semantic SegmentationonDALES
mIoU· 2023-06-13
79.6
best: 81.1 (KPConv)
Efficient 3D Semantic Segmentation with Superpoint Transformer arXiv:2306.08045
Semantic SegmentationonS3DIS
mAcc· 2023-06-13
85.8
best: 89.9 (Sonata + PTv3)
Efficient 3D Semantic Segmentation with Superpoint Transformer arXiv:2306.08045

Audio13 results

10-shot image generationonS3DIS
mIoU· 2023-06-13
76
SOTA
Efficient 3D Semantic Segmentation with Superpoint Transformer arXiv:2306.08045
10-shot image generationonKITTI-360
miou Val· 2023-06-13
63.5
best: 64.1 (DA-supervised)
SOTA
Efficient 3D Semantic Segmentation with Superpoint Transformer arXiv:2306.08045
10-shot image generationonS3DIS
mIoU (6-Fold)· 2023-06-13
76
SOTA
Efficient 3D Semantic Segmentation with Superpoint Transformer arXiv:2306.08045
10-shot image generationonS3DIS Area5
mAcc· 2023-06-13
77.3
best: 81.6 (Sonata + PTv3)
Efficient 3D Semantic Segmentation with Superpoint Transformer arXiv:2306.08045
10-shot image generationonS3DIS Area5
mIoU· 2023-06-13
68.9
best: 76 (Sonata + PTv3)
Efficient 3D Semantic Segmentation with Superpoint Transformer arXiv:2306.08045
10-shot image generationonS3DIS Area5
oAcc· 2023-06-13
89.5
best: 93 (Sonata + PTv3)
Efficient 3D Semantic Segmentation with Superpoint Transformer arXiv:2306.08045
10-shot image generationonS3DIS
Mean IoU· 2023-06-13
76
best: 82.3 (Sonata + PTv3)
Efficient 3D Semantic Segmentation with Superpoint Transformer arXiv:2306.08045
10-shot image generationonS3DIS
Params (M)· 2023-06-13
0.212
best: 41.6 (PointNeXt-XL)
Efficient 3D Semantic Segmentation with Superpoint Transformer arXiv:2306.08045
10-shot image generationonS3DIS
mAcc· 2023-06-13
85.8
best: 89.9 (Sonata + PTv3)
Efficient 3D Semantic Segmentation with Superpoint Transformer arXiv:2306.08045
10-shot image generationonS3DIS
oAcc· 2023-06-13
90.4
best: 93.3 (Sonata + PTv3)
Efficient 3D Semantic Segmentation with Superpoint Transformer arXiv:2306.08045
10-shot image generationonDALES
Overall Accuracy· 2023-06-13
97.5
best: 97.8 (KPConv)
Efficient 3D Semantic Segmentation with Superpoint Transformer arXiv:2306.08045
10-shot image generationonDALES
mIoU· 2023-06-13
79.6
best: 81.1 (KPConv)
Efficient 3D Semantic Segmentation with Superpoint Transformer arXiv:2306.08045
10-shot image generationonS3DIS
mAcc· 2023-06-13
85.8
best: 89.9 (Sonata + PTv3)
Efficient 3D Semantic Segmentation with Superpoint Transformer arXiv:2306.08045

Computer Vision5 results

3D Semantic SegmentationonKITTI-360
miou Val· 2023-06-13
63.5
best: 64.1 (DA-supervised)
SOTA
Efficient 3D Semantic Segmentation with Superpoint Transformer arXiv:2306.08045
3D Semantic SegmentationonS3DIS
mAcc· 2023-06-13
85.8
SOTA
Efficient 3D Semantic Segmentation with Superpoint Transformer arXiv:2306.08045
3D Semantic SegmentationonS3DIS
mIoU (6-Fold)· 2023-06-13
76
SOTA
Efficient 3D Semantic Segmentation with Superpoint Transformer arXiv:2306.08045
3D Semantic SegmentationonDALES
Overall Accuracy· 2023-06-13
97.5
best: 97.8 (KPConv)
Efficient 3D Semantic Segmentation with Superpoint Transformer arXiv:2306.08045
3D Semantic SegmentationonDALES
mIoU· 2023-06-13
79.6
best: 81.1 (KPConv)
Efficient 3D Semantic Segmentation with Superpoint Transformer arXiv:2306.08045