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Models/OA-CNN

OA-CNN

Reported on 6 benchmarks across 3 tasks · 1 paper · 3 SOTA

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

Medical2 results

Semantic SegmentationonScanNet++
Top-3 IoU· 2024-03-21
0.726
best: 0.762 (DITR)
SOTA
OA-CNNs: Omni-Adaptive Sparse CNNs for 3D Semantic Segmentation arXiv:2403.14418
Semantic SegmentationonScanNet++
Top-1 IoU· 2024-03-21
0.47
best: 0.525 (DITR)
OA-CNNs: Omni-Adaptive Sparse CNNs for 3D Semantic Segmentation arXiv:2403.14418

Computer Vision2 results

3D Semantic SegmentationonScanNet++
Top-3 IoU· 2024-03-21
0.726
best: 0.762 (DITR)
SOTA
OA-CNNs: Omni-Adaptive Sparse CNNs for 3D Semantic Segmentation arXiv:2403.14418
3D Semantic SegmentationonScanNet++
Top-1 IoU· 2024-03-21
0.47
best: 0.525 (DITR)
OA-CNNs: Omni-Adaptive Sparse CNNs for 3D Semantic Segmentation arXiv:2403.14418

Audio2 results

10-shot image generationonScanNet++
Top-3 IoU· 2024-03-21
0.726
best: 0.762 (DITR)
SOTA
OA-CNNs: Omni-Adaptive Sparse CNNs for 3D Semantic Segmentation arXiv:2403.14418
10-shot image generationonScanNet++
Top-1 IoU· 2024-03-21
0.47
best: 0.525 (DITR)
OA-CNNs: Omni-Adaptive Sparse CNNs for 3D Semantic Segmentation arXiv:2403.14418