Exploring High-quality Target Domain Information for Unsupervised Domain Adaptive Semantic Segmentation

Benchmark Model Rank Results
domain-adaptation-on-gta5-to-cityscapesEHTDI*#15mIoU: 62.0
image-to-image-translation-on-gtav-toEHTDI*#11mIoU: 62.0
synthetic-to-real-translation-on-gtav-toEHTDI*#15mIoU: 62.0
synthetic-to-real-translation-on-gtav-toEHTDI(ResNet-101)#20mIoU: 58.8
synthetic-to-real-translation-on-synthia-to-1EHTDI*#8MIoU (16 classes): 61.3MIoU (13 classes): 69.2
synthetic-to-real-translation-on-synthia-to-1EHTDI#13MIoU (16 classes): 57.8MIoU (13 classes): 64.6