Light-Weight-RefineNet-101

Reported on 4 benchmarks across 2 tasks · 1 paper

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

Medical2 results

Semantic SegmentationonNYU Depth v2
Speed(ms/f)· 2018-10-08
27
best: 72 (PSPNet101)
Light-Weight RefineNet for Real-Time Semantic Segmentation arXiv:1810.03272
Semantic SegmentationonNYU Depth v2
mIoU· 2018-10-08
43.6
best: 54.1 (AsymFormer)
Light-Weight RefineNet for Real-Time Semantic Segmentation arXiv:1810.03272

Audio2 results

10-shot image generationonNYU Depth v2
Speed(ms/f)· 2018-10-08
27
best: 72 (PSPNet101)
Light-Weight RefineNet for Real-Time Semantic Segmentation arXiv:1810.03272
10-shot image generationonNYU Depth v2
mIoU· 2018-10-08
43.6
best: 54.1 (AsymFormer)
Light-Weight RefineNet for Real-Time Semantic Segmentation arXiv:1810.03272