joffery / M-ADA

The Pytorch implementation for "Learning to Learn Single Domain Generalization" (CVPR 2020)

https://arxiv.org/abs/2003.13216

joffery/M-ADA Issues

How can generate adversarial samples?
Updated 2 years ago
the accuracy of M-ADA in the dataset Digits is very low
Updated 2 years ago2
no attribute functional
Updated 2 years ago1
My traind Learner model can`t reach the result in paper
Updated 2 years ago12
AttributeError: module 'scipy.misc' has no attribute 'imread'
Updated 2 years ago1
synth_train_32x32.mat is missing
Updated 2 years ago1
Is it possible to apply to segmentation task using mask rcnn as task model?
Closed 3 years ago1
Could you share the code parameters (such as iterations for adversarial training) when using CIFAR-10 or SYTHIA as dataset?
Updated 3 years ago2
Could the author provide more information on the implementation settings of M-ADA on Cifar10-C ?
Updated 3 years ago
RuntimeError: in line 166 adv_loss.backward()
Updated 3 years ago2
Implementation of equation number 4 is missing in code
Closed 3 years ago1
second time backward error
Updated 4 years ago1
Question about Retraining the WAE model
Updated 4 years ago1
Inconsistency in the constraint loss in the code & paper
Closed 4 years ago2
Thank you for share the code and pretrained model.
Closed 4 years ago
About the relaxation loss in code & paper
Closed 4 years ago4
Hope to see the code soon
Closed 4 years ago1