HRNet-48

Reported on 6 benchmarks across 2 tasks · 1 paper · 2 SOTA

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

Medical3 results

Semantic SegmentationonPotsdam
mIoU· 2019-08-20
84.22
SOTA
Deep High-Resolution Representation Learning for Visual Recognition arXiv:1908.07919
Semantic SegmentationonUS3D
mIoU· 2019-08-20
72.66
best: 74.42 (DeepLabV3+)
Deep High-Resolution Representation Learning for Visual Recognition arXiv:1908.07919
Semantic SegmentationonVaihingen
mIoU· 2019-08-20
76.75
best: 82.87 (CMX)
Deep High-Resolution Representation Learning for Visual Recognition arXiv:1908.07919

Audio3 results

10-shot image generationonPotsdam
mIoU· 2019-08-20
84.22
SOTA
Deep High-Resolution Representation Learning for Visual Recognition arXiv:1908.07919
10-shot image generationonUS3D
mIoU· 2019-08-20
72.66
best: 74.42 (DeepLabV3+)
Deep High-Resolution Representation Learning for Visual Recognition arXiv:1908.07919
10-shot image generationonVaihingen
mIoU· 2019-08-20
76.75
best: 82.87 (CMX)
Deep High-Resolution Representation Learning for Visual Recognition arXiv:1908.07919