SWDA

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.

Methodology2 results

Domain AdaptationonCityscapes to Foggy Cityscapes
mAP@0.5· 2018-12-12
34.8
best: 66.8 (ALDI++(Resnet50+FPN))
SOTA
Strong-Weak Distribution Alignment for Adaptive Object Detection arXiv:1812.04798
Domain AdaptationonSIM10K to BDD100K
mAP@0.5· 2018-12-12
42.9
best: 58.3 (DDT)
SOTA
Strong-Weak Distribution Alignment for Adaptive Object Detection arXiv:1812.04798

Other2 results

Unsupervised Domain AdaptationonCityscapes to Foggy Cityscapes
mAP@0.5· 2018-12-12
34.8
best: 66.8 (ALDI++(Resnet50+FPN))
SOTA
Strong-Weak Distribution Alignment for Adaptive Object Detection arXiv:1812.04798
Unsupervised Domain AdaptationonSIM10K to BDD100K
mAP@0.5· 2018-12-12
42.9
best: 58.3 (DDT)
SOTA
Strong-Weak Distribution Alignment for Adaptive Object Detection arXiv:1812.04798