FRCNN in the wild

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

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

Computer Vision1 result

Image-to-Image TranslationonCityscapes-to-Foggy Cityscapes
mAP· 2018-03-08
27.6
best: 47.6 (MIC)
SOTA
Domain Adaptive Faster R-CNN for Object Detection in the Wild arXiv:1803.03243

Medical1 result

Image GenerationonCityscapes-to-Foggy Cityscapes
mAP· 2018-03-08
27.6
best: 47.6 (MIC)
SOTA
Domain Adaptive Faster R-CNN for Object Detection in the Wild arXiv:1803.03243

Miscellaneous1 result

1 Image, 2*2 StitchingonCityscapes-to-Foggy Cityscapes
mAP· 2018-03-08
27.6
best: 47.6 (MIC)
SOTA
Domain Adaptive Faster R-CNN for Object Detection in the Wild arXiv:1803.03243