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Models/RefineNet

RefineNet

Reported on 6 benchmarks across 2 tasks · 1 paper · 4 SOTA

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

Medical3 results

Semantic SegmentationonPASCAL Context
mIoU· 2016-11-20
47.3
best: 71.1 (VPNeXt)
SOTA
RefineNet: Multi-Path Refinement Networks for High-Resolution Semantic Segmentation arXiv:1611.06612
Semantic SegmentationonADE20K
Validation mIoU· 2016-11-20
40.7
best: 63.6 (ViT-P (InternImage-H))
SOTA
RefineNet: Multi-Path Refinement Networks for High-Resolution Semantic Segmentation arXiv:1611.06612
Semantic SegmentationonTrans10K
GFLOPs· 2016-11-20
44.56
best: 198 (DANet)
RefineNet: Multi-Path Refinement Networks for High-Resolution Semantic Segmentation arXiv:1611.06612

Audio3 results

10-shot image generationonPASCAL Context
mIoU· 2016-11-20
47.3
best: 71.1 (VPNeXt)
SOTA
RefineNet: Multi-Path Refinement Networks for High-Resolution Semantic Segmentation arXiv:1611.06612
10-shot image generationonADE20K
Validation mIoU· 2016-11-20
40.7
best: 63.6 (ViT-P (InternImage-H))
SOTA
RefineNet: Multi-Path Refinement Networks for High-Resolution Semantic Segmentation arXiv:1611.06612
10-shot image generationonTrans10K
GFLOPs· 2016-11-20
44.56
best: 198 (DANet)
RefineNet: Multi-Path Refinement Networks for High-Resolution Semantic Segmentation arXiv:1611.06612