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@rwightman Just thinking in which direction the current dev goes, I think it could make sense to train some of the not too big cnn models on the imagenet 1k or 21k datasets with higher resolution images, to have a possible advantage while finetuning on higher resolutions without having to use the bigger models.
What do you think and what does the community think?
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@rwightman Just thinking in which direction the current dev goes, I think it could make sense to train some of the not too big cnn models on the imagenet 1k or 21k datasets with higher resolution images, to have a possible advantage while finetuning on higher resolutions without having to use the bigger models.
What do you think and what does the community think?
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