CMSEA: Compound Model Scaling With Efficient Attention for Fine-Grained Image Classification
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DOI: 10.1109/access.2022.3150320
Abstract: The purpose of fine-grained image classification is to distinguish subcategories belonging to the same basic-level category, for example, two hundred subcategories belonging to birds. It has been a challenging topic in the field of computer… read more here.
Keywords: cmsea; fine grained; model scaling; image classification ... See more keywords