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Hello
According to what you wrote in https://arxiv.org/pdf/2007.06959.pdf, use a trained autoencoder to obtain deep latent features. However, I found in https://github.com/fhaghighi/SemanticGenesis/blob/master/self_discovery/train_autoencoder.py that you used Unet3D as a mentioned autoencoder. How did you train it? As you know every Unet has skip connections that prevent the autoencoder to generalize at all. Am I missing something here?
Tom
The text was updated successfully, but these errors were encountered:
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Hello
According to what you wrote in https://arxiv.org/pdf/2007.06959.pdf, use a trained autoencoder to obtain deep latent features. However, I found in https://github.com/fhaghighi/SemanticGenesis/blob/master/self_discovery/train_autoencoder.py that you used Unet3D as a mentioned autoencoder. How did you train it? As you know every Unet has skip connections that prevent the autoencoder to generalize at all. Am I missing something here?
Tom
The text was updated successfully, but these errors were encountered: