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Multi-Level Metric Learning Network for Fine-Grained Classification

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The application of fine-grained image classification can be problematic due to subtle differences between classes. The existing global feature-based methods have worse accuracies than regional feature-based methods. because regional feature-based methods focus on the determination of differentiated features within local regions. To learn more discriminative global features. https://www.roomyroomers.shop/product-category/bench-clothes-stand/
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