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Models/Re-EnD-UDA

Re-EnD-UDA

Reported on 6 benchmarks across 2 tasks · 1 paper · 5 SOTA

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

Methodology3 results

Domain AdaptationonGTAV-to-Cityscapes Labels
mIoU· 2021-04-29
57.98
best: 75.9 (MIC)
SOTA
Rethinking Ensemble-Distillation for Semantic Segmentation Based Unsupervised Domain Adaptation arXiv:2104.14203
Domain AdaptationonSYNTHIA-to-Cityscapes
mIoU (13 classes)· 2021-04-29
59.95
best: 75.9 (DCF)
SOTA
Rethinking Ensemble-Distillation for Semantic Segmentation Based Unsupervised Domain Adaptation arXiv:2104.14203
Domain AdaptationonSYNTHIA-to-Cityscapes
mIoU· 2021-04-29
52.58
best: 78.1 (HALO)
Rethinking Ensemble-Distillation for Semantic Segmentation Based Unsupervised Domain Adaptation arXiv:2104.14203

Other3 results

Unsupervised Domain AdaptationonGTAV-to-Cityscapes Labels
mIoU· 2021-04-29
57.98
best: 75.9 (MIC)
SOTA
Rethinking Ensemble-Distillation for Semantic Segmentation Based Unsupervised Domain Adaptation arXiv:2104.14203
Unsupervised Domain AdaptationonSYNTHIA-to-Cityscapes
mIoU· 2021-04-29
52.58
best: 69.3 (DCF)
SOTA
Rethinking Ensemble-Distillation for Semantic Segmentation Based Unsupervised Domain Adaptation arXiv:2104.14203
Unsupervised Domain AdaptationonSYNTHIA-to-Cityscapes
mIoU (13 classes)· 2021-04-29
59.95
best: 75.9 (DCF)
SOTA
Rethinking Ensemble-Distillation for Semantic Segmentation Based Unsupervised Domain Adaptation arXiv:2104.14203