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tim-learn
use domainnet dataset
Hi ,thanks for your excellent work. Have you ever try to work on the domainNet dataset ? SInce I can't get satisfied result by changing the dataset only.
Hi ,thanks for your excellent work. Have you ever try to work on the domainNet dataset ? SInce I can't get satisfied result by changing the dataset only.
Hi, maybe you need to change the learning rate and adjust the weights of different loss objectives by yourself since DomainNet owns an extremely imbalanced label distribution.
Best
Hi, thanks for your response. But I still want to know whether the kmeans is still work in domainnet. (From my experiment result, I found it's not work well ) Since the number of classes is 345, the variable of k in kmeans has better to be a smaller one, like 8. Is it necessary to change another method to optimize the pseudo lable during the training process? Do you have any suggestions? Thank you very much！ Best
Hi, thanks for your response. But I still want to know whether the kmeans is still work in domainnet. (From my experiment result, I found it's not work well ) Since the number of classes is 345, the variable of k in kmeans has better to be a smaller one, like 8. Is it necessary to change another method to optimize the pseudo lable during the training process? Do you have any suggestions? Thank you very much！ Best
You can try the updated code for DomainNet again.
I have the same problem too. Even when changing the learning rate or adjusting the weight of the loss function, the algorithm may not work or give satisfactory results on large datasets. Have you succeeded solving this issue, @Chy-dev249 ?
