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 vision in recent years due to the small inter-class variance among different subcategories (e. https://herbsdailyes.shop/product-category/medical-and-ambulatory-supplies-nutritionals-and-feeding-supplies/