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Models/Pamba

Pamba

Reported on 10 benchmarks across 3 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 SegmentationonScanNet
val mIoU· 2024-06-25
77.6
best: 80.5 (DITR)
Pamba: Enhancing Global Interaction in Point Clouds via State Space Model arXiv:2406.17442
Semantic SegmentationonS3DIS Area5
mIoU· 2024-06-25
73.5
best: 76 (Sonata + PTv3)
Pamba: Enhancing Global Interaction in Point Clouds via State Space Model arXiv:2406.17442
Semantic SegmentationonScanNet200
test mIoU· 2024-06-25
37.1
best: 44.9 (DITR)
Pamba: Enhancing Global Interaction in Point Clouds via State Space Model arXiv:2406.17442
Semantic SegmentationonScanNet200
val mIoU· 2024-06-25
36.3
best: 41.2 (DITR)
Pamba: Enhancing Global Interaction in Point Clouds via State Space Model arXiv:2406.17442

Audio4 results

10-shot image generationonScanNet
val mIoU· 2024-06-25
77.6
best: 80.5 (DITR)
Pamba: Enhancing Global Interaction in Point Clouds via State Space Model arXiv:2406.17442
10-shot image generationonS3DIS Area5
mIoU· 2024-06-25
73.5
best: 76 (Sonata + PTv3)
Pamba: Enhancing Global Interaction in Point Clouds via State Space Model arXiv:2406.17442
10-shot image generationonScanNet200
test mIoU· 2024-06-25
37.1
best: 44.9 (DITR)
Pamba: Enhancing Global Interaction in Point Clouds via State Space Model arXiv:2406.17442
10-shot image generationonScanNet200
val mIoU· 2024-06-25
36.3
best: 41.2 (DITR)
Pamba: Enhancing Global Interaction in Point Clouds via State Space Model arXiv:2406.17442

Computer Vision2 results

3D Semantic SegmentationonScanNet200
test mIoU· 2024-06-25
37.1
best: 44.9 (DITR)
Pamba: Enhancing Global Interaction in Point Clouds via State Space Model arXiv:2406.17442
3D Semantic SegmentationonScanNet200
val mIoU· 2024-06-25
36.3
best: 41.2 (DITR)
Pamba: Enhancing Global Interaction in Point Clouds via State Space Model arXiv:2406.17442