Comments (2)
nmhkahn
commented on May 25, 2024
In the RealSR dataset, we have observed that early stopping is crucial for the best performance. The overfitting seems to worsen when the network is bigger (e.g. EDSR, RCAN) and when not using data augmentation, obviously.
Is the 28.89 PSNR of the "best"? or "the last" result? By the way, all the performance reports are measured a single time.
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yelusaleng
commented on May 25, 2024
thank you for your response.
the 28.89 is the best, not the last.
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Related Issues (20)
- image size HOT 2
- The cutout function in augments.py HOT 1
- RCAN X2 PSNR only 36.xx HOT 7
- How to use cutblur on video super resolution? HOT 1
- Training Problem HOT 2
- about cutblur function
- Why do you use nearest method for matching the resolution of (LR, HR) due to CutBlur ? HOT 7
- question about the input shape HOT 1
- about the size of input、output and HR in the demo
- no improvement, but rather a decline HOT 1
- What is the size of the image block you use at the x2, x3, and x4 scales?
- train on custom dataset
- Loss keeps oscillating during training
- Blend & RGB channel permutation seems cause PSNR metric drop
- Pretrained model HOT 3
- Division by zero error HOT 1
- No Output and It says 0it [00:00, ?it/s] HOT 2
- Patchsize 24 HOT 1
- Train using different dataset HOT 3
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