Tasks SotA Datasets Papers Methods Submit About

Papers With Code 2

A community resource for machine learning research: papers, code, benchmarks, and state-of-the-art results.

Explore

Notable Benchmarks All SotA Datasets Papers Methods

Community

Submit Results About

Data sourced from the PWC Archive (CC-BY-SA 4.0). Built by the community, for the community.

Models/OA-CNNs

OA-CNNs

Reported on 11 benchmarks across 4 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
test mIoU· 2024-03-21
75.6
best: 79.8 (PTv3 ARKit LabelMaker)
OA-CNNs: Omni-Adaptive Sparse CNNs for 3D Semantic Segmentation arXiv:2403.14418
Semantic SegmentationonScanNet
val mIoU· 2024-03-21
76.1
best: 80.5 (DITR)
OA-CNNs: Omni-Adaptive Sparse CNNs for 3D Semantic Segmentation arXiv:2403.14418
Semantic SegmentationonScanNet200
test mIoU· 2024-03-21
32.3
best: 44.9 (DITR)
OA-CNNs: Omni-Adaptive Sparse CNNs for 3D Semantic Segmentation arXiv:2403.14418
Semantic SegmentationonScanNet200
val mIoU· 2024-03-21
33.3
best: 41.2 (DITR)
OA-CNNs: Omni-Adaptive Sparse CNNs for 3D Semantic Segmentation arXiv:2403.14418

Audio4 results

10-shot image generationonScanNet
test mIoU· 2024-03-21
75.6
best: 79.8 (PTv3 ARKit LabelMaker)
OA-CNNs: Omni-Adaptive Sparse CNNs for 3D Semantic Segmentation arXiv:2403.14418
10-shot image generationonScanNet
val mIoU· 2024-03-21
76.1
best: 80.5 (DITR)
OA-CNNs: Omni-Adaptive Sparse CNNs for 3D Semantic Segmentation arXiv:2403.14418
10-shot image generationonScanNet200
test mIoU· 2024-03-21
32.3
best: 44.9 (DITR)
OA-CNNs: Omni-Adaptive Sparse CNNs for 3D Semantic Segmentation arXiv:2403.14418
10-shot image generationonScanNet200
val mIoU· 2024-03-21
33.3
best: 41.2 (DITR)
OA-CNNs: Omni-Adaptive Sparse CNNs for 3D Semantic Segmentation arXiv:2403.14418

Computer Vision3 results

3D Semantic SegmentationonScanNet200
test mIoU· 2024-03-21
32.3
best: 44.9 (DITR)
OA-CNNs: Omni-Adaptive Sparse CNNs for 3D Semantic Segmentation arXiv:2403.14418
3D Semantic SegmentationonScanNet200
val mIoU· 2024-03-21
33.3
best: 41.2 (DITR)
OA-CNNs: Omni-Adaptive Sparse CNNs for 3D Semantic Segmentation arXiv:2403.14418
LIDAR Semantic SegmentationonnuScenes
val mIoU· 2024-03-21
0.789
best: 0.842 (DITR)
OA-CNNs: Omni-Adaptive Sparse CNNs for 3D Semantic Segmentation arXiv:2403.14418