Confidence Regularized Self-Training

Benchmark Model Rank Results
domain-adaptation-on-office-31MRKLD + LRENT#25Average Accuracy: 86.8
domain-adaptation-on-visda2017MRKLD + LRENT#19Accuracy: 78.1
domain-adaptation-on-visda2017CRST#20Accuracy: 78.1
image-to-image-translation-on-synthia-toLRENT (DeepLabv2)#17mIoU (13 classes): 48.7
semantic-segmentation-on-densepassCRST#24mIoU: 31.67%
synthetic-to-real-translation-on-gtav-toCRST(MRKLD-SP-MST)#43mIoU: 49.8