corenel / pytorch-adda

A PyTorch implementation for Adversarial Discriminative Domain Adaptation
MIT License
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adaptation question, discriminator acc=0.5 representing best adaptation? #9

Open dupanfei1 opened 6 years ago

dupanfei1 commented 6 years ago

Thanks for the code. I changed the dataset. But the adaptation process didn't converge( acc=0.5 represents convergence?), and just get 14% domain adaptation accrucy.

Epoch [457/600] Step [100/200]:d_loss=0.32023 g_loss=3.27941 acc=0.89000

what parameters I need to change? Should I normalize the source and target dataset? Thank you!

Nyn-ynu commented 4 years ago

I meet the same question as yours. No matter what i do, the acc just fluctuates between 10% and 15%. Domain discriminator and classifier's game out of control in total

hfutyanhuan commented 3 years ago

@dupanfei1 请问你最终解决了这个问题了吗