GCMA

Reported on 4 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.

Medical2 results

Semantic SegmentationonDark Zurich
mIoU· 2019-01-17
42
best: 63.9 (Refign (HRDA))
SOTA
Guided Curriculum Model Adaptation and Uncertainty-Aware Evaluation for Semantic Nighttime Image Segmentation arXiv:1901.05946
Semantic SegmentationonNighttime Driving
mIoU· 2019-01-17
45.6
best: 60.8 (TADP)
SOTA
Guided Curriculum Model Adaptation and Uncertainty-Aware Evaluation for Semantic Nighttime Image Segmentation arXiv:1901.05946

Audio2 results

10-shot image generationonDark Zurich
mIoU· 2019-01-17
42
best: 63.9 (Refign (HRDA))
SOTA
Guided Curriculum Model Adaptation and Uncertainty-Aware Evaluation for Semantic Nighttime Image Segmentation arXiv:1901.05946
10-shot image generationonNighttime Driving
mIoU· 2019-01-17
45.6
best: 60.8 (TADP)
SOTA
Guided Curriculum Model Adaptation and Uncertainty-Aware Evaluation for Semantic Nighttime Image Segmentation arXiv:1901.05946