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View Code? Open in Web Editor NEWCode for the paper "Unsupervised Domain Adaptation in Semantic Segmentation via Orthogonal and Clustered Embeddings", WACV 2021
License: Apache License 2.0
Code for the paper "Unsupervised Domain Adaptation in Semantic Segmentation via Orthogonal and Clustered Embeddings", WACV 2021
License: Apache License 2.0
Sorry to disturb you... I want to know how much GPU memory do I need according to your experiment settings. And my GPU memory is 11GB, did you have a recommended experiment settings....
Hi, I want pre-training on the source domain (VGG16: GTA5, SYNTHIA, ResNet101:GTA5, SYNTHIA), but I am not sure about the run code (learning rate, iter ...), Can you tell me?
If can provide the pre-trained weights,it's better >_<
Thanks!
Hi, the URL of GTA5 pretrained weights is the same as GTA5-to-Cityscapes with ResNet101 pretained weights.
Can you provide the gta5final.pth files.
Thanks
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