Thank you for sharing the code~
You split the overall training dataset into labeled set/ val set/ unlabeled set, and then applying the val set to select the best ACC model, thus the extra val dataset leads to the unlabeled dataset is less than fixmatch. could you explain the rule of splitting
Thank you for sharing the code~
You split the overall training dataset into labeled set/ val set/ unlabeled set, and then applying the val set to select the best ACC model, thus the extra val dataset leads to the unlabeled dataset is less than fixmatch. could you explain the rule of splitting