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Sorry to bother you. But I used ssim as a loss function, and found some strange outputs. The gray values of the inputs are normalized to [0,1], but the output can be out of this range, like (-100,...), which is meaningless. In other words, the network is optimized toward a wrong direction. I do not know what is the reason, could you please give me some suggestions? btw, the network can work with other loss functions.
The text was updated successfully, but these errors were encountered:
I apologize for the delay in answering. Are you optimizing your network using the SSIM or MS-SSIM metric? If you are still facing this issue I would suggest trying to optimize the network with the most recent changes pushed to this repository which may help (using normalize="relu").
In the case your problem persists, I would ask you to submit a minimally reproducible example of your problem (if you are able to) or at least some more details on your experiment. Note that the MS-SSIM metric is not particularly stable for training and may cause problems in certain architectures compared to simpler metrics.
Sorry to bother you. But I used ssim as a loss function, and found some strange outputs. The gray values of the inputs are normalized to [0,1], but the output can be out of this range, like (-100,...), which is meaningless. In other words, the network is optimized toward a wrong direction. I do not know what is the reason, could you please give me some suggestions? btw, the network can work with other loss functions.
The text was updated successfully, but these errors were encountered: