MGCDA

Reported on 5 benchmarks across 3 tasks · 1 paper · 5 SOTA

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

Medical2 results

Semantic SegmentationonDark Zurich
mIoU· 2020-05-28
42.5
best: 63.9 (Refign (HRDA))
SOTA
Map-Guided Curriculum Domain Adaptation and Uncertainty-Aware Evaluation for Semantic Nighttime Image Segmentation arXiv:2005.14553
Semantic SegmentationonNighttime Driving
mIoU· 2020-05-28
49.4
best: 60.8 (TADP)
SOTA
Map-Guided Curriculum Domain Adaptation and Uncertainty-Aware Evaluation for Semantic Nighttime Image Segmentation arXiv:2005.14553

Audio2 results

10-shot image generationonDark Zurich
mIoU· 2020-05-28
42.5
best: 63.9 (Refign (HRDA))
SOTA
Map-Guided Curriculum Domain Adaptation and Uncertainty-Aware Evaluation for Semantic Nighttime Image Segmentation arXiv:2005.14553
10-shot image generationonNighttime Driving
mIoU· 2020-05-28
49.4
best: 60.8 (TADP)
SOTA
Map-Guided Curriculum Domain Adaptation and Uncertainty-Aware Evaluation for Semantic Nighttime Image Segmentation arXiv:2005.14553

Methodology1 result

Domain AdaptationonCityscapes to ACDC
mIoU· 2020-05-28
48.7
best: 78.8 (SoRA)
SOTA
Map-Guided Curriculum Domain Adaptation and Uncertainty-Aware Evaluation for Semantic Nighttime Image Segmentation arXiv:2005.14553