cswry / SeeSR

[CVPR2024] SeeSR: Towards Semantics-Aware Real-World Image Super-Resolution

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How many epochs do you set when creating training datasets?

XsherryR opened this issue · comments

The default setting is 1; is this sufficient for fine-tuning the model?

By default, it is set to 1, but this is definitely not enough for training.

It requires finding a balance between memory consumption and training data diversity.

By default, it is set to 1, but this is definitely not enough for training.

It requires finding a balance between memory consumption and training data diversity.

Could you tell me how many epochs you set when creating training datasets?

By default, it is set to 1, but this is definitely not enough for training.
It requires finding a balance between memory consumption and training data diversity.

Could you tell me how many epochs you set when creating training datasets?

It could be 60? It has been a long time since the data was created from now.

By default, it is set to 1, but this is definitely not enough for training.
It requires finding a balance between memory consumption and training data diversity.

Could you tell me how many epochs you set when creating training datasets?

It could be 60? It has been a long time since the data was created from now.

Got it, thanks!