An adversarially trained latent diffusion model with long encoder-decoder skip connections reports state-of-the-art mIoU of 74.4 and 67.2 on two unsupervised domain adaptation benchmarks.
The cityscapes dataset for semantic urban scene understanding
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Adversarially Domain-adaptive Latent Diffusion for Unsupervised Semantic Segmentation
An adversarially trained latent diffusion model with long encoder-decoder skip connections reports state-of-the-art mIoU of 74.4 and 67.2 on two unsupervised domain adaptation benchmarks.