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Patch-Level Consistency Regularization in Self-Supervised Transfer Learning for Fine-Grained Image Recognition

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Fine-grained image recognition aims to classify fine subcategories belonging to the same parent category. such as vehicle model or bird species classification. This is an inherently challenging task because a classifier must capture subtle interclass differences under large intraclass variances. Most previous approaches are based on supervised learning. https://parisnaturalfoodes.shop/product-category/chromic-active-200/
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