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我使用ResNet18网络,在PACS数据上的photo域训练,然后在剩下三个域上测试,发现训练的准确率是上升的,但测试集的准确率非常低,平均准确率在19%,且没什么变化。想问下您这边有做这样的实验吗?结果如何?
The text was updated successfully, but these errors were encountered:
好问题,我研究一下。。
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现在您可以试一下,最初的版本应该是缺少两个超参数, 并且您用resnet18训练的时候,原论文里面是用了pretrained 的模型,而且是对 asrnorm 模块用原有模型BN的参数来进行初始化的,您可以重新试一下。
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我使用ResNet18网络,在PACS数据上的photo域训练,然后在剩下三个域上测试,发现训练的准确率是上升的,但测试集的准确率非常低,平均准确率在19%,且没什么变化。想问下您这边有做这样的实验吗?结果如何?
The text was updated successfully, but these errors were encountered: