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Models/SHADE

SHADE

Reported on 7 benchmarks across 7 tasks · 1 paper · 7 SOTA

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

Methodology5 results

Domain AdaptationonGTA-to-Avg(Cityscapes,BDD,Mapillary)
mIoU· 2022-04-06
45.27
best: 4489 (Self-adaptation (ResNet - 101))
SOTA
Style-Hallucinated Dual Consistency Learning for Domain Generalized Semantic Segmentation arXiv:2204.02548
3DonDWD
mPC [AP50]· 2022-04-06
28.4
best: 40.5 (GDD (SD-1.5 Backbone))
SOTA
Style-Hallucinated Dual Consistency Learning for Domain Generalized Semantic Segmentation arXiv:2204.02548
2D ClassificationonDWD
mPC [AP50]· 2022-04-06
28.4
best: 40.5 (GDD (SD-1.5 Backbone))
SOTA
Style-Hallucinated Dual Consistency Learning for Domain Generalized Semantic Segmentation arXiv:2204.02548
2D Object DetectiononDWD
mPC [AP50]· 2022-04-06
28.4
best: 40.5 (GDD (SD-1.5 Backbone))
SOTA
Style-Hallucinated Dual Consistency Learning for Domain Generalized Semantic Segmentation arXiv:2204.02548
16konDWD
mPC [AP50]· 2022-04-06
28.4
best: 40.5 (GDD (SD-1.5 Backbone))
SOTA
Style-Hallucinated Dual Consistency Learning for Domain Generalized Semantic Segmentation arXiv:2204.02548

Computer Vision2 results

Object DetectiononDWD
mPC [AP50]· 2022-04-06
28.4
best: 40.5 (GDD (SD-1.5 Backbone))
SOTA
Style-Hallucinated Dual Consistency Learning for Domain Generalized Semantic Segmentation arXiv:2204.02548
Domain GeneralizationonGTA-to-Avg(Cityscapes,BDD,Mapillary)
mIoU· 2022-04-06
45.27
best: 4489 (Self-adaptation (ResNet - 101))
SOTA
Style-Hallucinated Dual Consistency Learning for Domain Generalized Semantic Segmentation arXiv:2204.02548