Unsupervised Scene Adaptation with Memory Regularization in vivo

Benchmark Model Rank Results
domain-adaptation-on-gta5-synscapes-toMRNet#3mIoU: 47.6
domain-adaptation-on-gta5-to-cityscapesMRNet#25mIoU: 48.3
domain-adaptation-on-gtav-synscapes-toMRNet#4mIoU: 47.6
synthetic-to-real-translation-on-gtav-toMRNet#46mIoU: 48.3
synthetic-to-real-translation-on-synthia-to-1MRNet(ResNet-101)#31MIoU (13 classes): 53.8
unsupervised-domain-adaptation-on-cityscapes-2MRNet#3mIoU: 73.9
unsupervised-domain-adaptation-on-gtav-toMRNet#18mIoU: 45.5
unsupervised-domain-adaptation-on-synthia-toMRNet#19mIoU (13 classes): 50.2mIoU: 43.2