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Models/PointNeXt-L

PointNeXt-L

Reported on 8 benchmarks across 2 tasks · 1 paper

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

Medical4 results

Semantic SegmentationonS3DIS
Mean IoU· 2022-06-09
73.9
best: 82.3 (Sonata + PTv3)
PointNeXt: Revisiting PointNet++ with Improved Training and Scaling Strategies arXiv:2206.04670
Semantic SegmentationonS3DIS
Params (M)· 2022-06-09
7.1
best: 41.6 (PointNeXt-XL)
PointNeXt: Revisiting PointNet++ with Improved Training and Scaling Strategies arXiv:2206.04670
Semantic SegmentationonS3DIS
mAcc· 2022-06-09
82.2
best: 89.9 (Sonata + PTv3)
PointNeXt: Revisiting PointNet++ with Improved Training and Scaling Strategies arXiv:2206.04670
Semantic SegmentationonS3DIS
oAcc· 2022-06-09
89.9
best: 93.3 (Sonata + PTv3)
PointNeXt: Revisiting PointNet++ with Improved Training and Scaling Strategies arXiv:2206.04670

Audio4 results

10-shot image generationonS3DIS
Mean IoU· 2022-06-09
73.9
best: 82.3 (Sonata + PTv3)
PointNeXt: Revisiting PointNet++ with Improved Training and Scaling Strategies arXiv:2206.04670
10-shot image generationonS3DIS
Params (M)· 2022-06-09
7.1
best: 41.6 (PointNeXt-XL)
PointNeXt: Revisiting PointNet++ with Improved Training and Scaling Strategies arXiv:2206.04670
10-shot image generationonS3DIS
mAcc· 2022-06-09
82.2
best: 89.9 (Sonata + PTv3)
PointNeXt: Revisiting PointNet++ with Improved Training and Scaling Strategies arXiv:2206.04670
10-shot image generationonS3DIS
oAcc· 2022-06-09
89.9
best: 93.3 (Sonata + PTv3)
PointNeXt: Revisiting PointNet++ with Improved Training and Scaling Strategies arXiv:2206.04670