DANN_py3
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python 3 pytorch implementation of DANN
I have a training set with 50k source images and 1k target images. Is DANN a good approach for this use case? If not, what is your recommendation?
您好,我想请问一下,为了使源域和目标域距离拉近,随时训练的加深,域分类器的loss(error)是不是应该越来越大呀,
As shown in the image above, the domain classifier loss is almost constant throughout the training process. I use a ViT as the feature extractor, a linear layer as label...
救命!帮帮我!
我想做可以检测森林火灾烟雾的DAN模型,那我是不是需要更换源域数据集呀,更换源域数据集的话都需要改什么部分呀