ADVENT
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Adversarial Entropy Minimization for Domain Adaptation in Semantic Segmentation
Looking forward to your reply!
Dear Author, No one hot encoding required while training source dataset? thank you
Hi, I looked at the dataloader and training codes completely and noticed that you are subtracting the Imagenet mean from the input RGB images (GTA and Cityscapes) but not normalizing...
Can you provide VGG-16 based pre-trained model?
Hello. Maybe I found some difference between code and paper.  The loss function of training discriminator represents that source domain is 0, and target domain is 1.  However,...
Hi, how can I change the dataset to binary segmentation, I have images and masks and can generate a data list, but the format seems quiet different from the cityscapes....
Hello @tuanhungvu , I am a student at TU Chemnitz, Germany. I am currently working on my master thesis project titled, 'Unsupervised Domain Adaptation for object detection.' I am working...
rename train_UDA to train_UDA_1109
hello, @valeoai do you have tried different segmentation network in ADVENT? because now in advent it has only used deeplab as segmentation network, i want to ask, if the different...