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After carefully rereading your paper I assume this difference is because of the fine-tuning on ImageNet100. However, I cannot seem to find which 100 classes you finetuned on. Is my assumption that this difference comes from here correct, and could you perhaps share the model weights or the 100 classes from ImageNet you used to finetune?
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