A One-Stage Domain Adaptation Network for Unsupervised Nighttime Semantic Segmentation
DANNet DANNet: A One-Stage Domain Adaptation Network for Unsupervised Nighttime Semantic Segmentation Requirements python3.7 pytorch==1.5.0 cuda10.2 Datasets Cityscapes: Please follow the instructions in Cityscape to download the training set. Dark-Zurich: Please follow the instructions in Dark-Zurich to download the training/val/test set. Testing If needed, please directly download the visualization results of our method for Dark-zurich-val and Dark-zurich-test. To reproduce the reported results in our paper (on Dark-Zurich val), please follow these steps: Step1: download the [trained models](https://www.dropbox.com/s/fmlq806p2wqf311/trained_models.zip?dl=0) and put it […]
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