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hangzhaomit avatar hangzhaomit commented on June 18, 2024

Augmentation only helps a little (<2%), we only did flipping during training.
Try to initialize the model with a VGG network pretrained on ImageNet; do not add layers like batch normalization.

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balloch avatar balloch commented on June 18, 2024

@DonghyunK , can you comment if the above worked? Also, @hangzhaomit , what do you mean initialize the model with a VGG pretrained on imagenet...is the DilatedNet just a standard VGG? won't the difference in convolution type cause incompatibility?

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