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Thanks for your inspiring and effective work. You achieved really great performance on imagenet-1k classification. As the paper mentioned, you treat classification as retrieval and do intermediate retrieval on imagenet-21k before fine-tuning. But we are wondering what you do for polysemy and same class names for different classes in the dataset imagenet-21k.
Looking forward to your reply.
The text was updated successfully, but these errors were encountered:
Thanks for your inspiring and effective work. You achieved really great performance on imagenet-1k classification. As the paper mentioned, you treat classification as retrieval and do intermediate retrieval on imagenet-21k before fine-tuning. But we are wondering what you do for polysemy and same class names for different classes in the dataset imagenet-21k.
Looking forward to your reply.
The text was updated successfully, but these errors were encountered: