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In the paper, you mentioned that during training, you used a patch extraction stride of 16, and during fine-tuning, you used a stride of 8. From the GitHub, I understand that you are using a patch extraction stride of 16 for evaluation. Is it problematic to use a stride of 16 after fine-tuning with a stride of 8? The model was fine-tuned using a stride of 8, but now you're processing the data with a stride of 16.
Thanks
The text was updated successfully, but these errors were encountered:
Hi,
In the paper, you mentioned that during training, you used a patch extraction stride of 16, and during fine-tuning, you used a stride of 8. From the GitHub, I understand that you are using a patch extraction stride of 16 for evaluation. Is it problematic to use a stride of 16 after fine-tuning with a stride of 8? The model was fine-tuned using a stride of 8, but now you're processing the data with a stride of 16.
Thanks
The text was updated successfully, but these errors were encountered: