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Found 2 papers, 1 papers with code
Mixup-based Deep Metric Learning Approaches for Incomplete Supervision
Deep learning architectures have achieved promising results in different areas (e. g., medicine, agriculture, and security).
Robust deep learning for eye fundus images: Bridging real and synthetic data for enhancing generalization
We employed the STARE dataset for external validation, ensuring a comprehensive assessment of the proposed approach.
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