FCN-32s RGB-HHA

Reported on 2 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.

Medical1 result

Semantic SegmentationonNYU Depth v2
Mean Accuracy· 2016-05-20
44
best: 68.8 (HAPNet)
SOTA
Fully Convolutional Networks for Semantic Segmentation arXiv:1605.06211

Audio1 result

10-shot image generationonNYU Depth v2
Mean Accuracy· 2016-05-20
44
best: 68.8 (HAPNet)
SOTA
Fully Convolutional Networks for Semantic Segmentation arXiv:1605.06211