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cs.CV2025
PD-Loss: Proxy-Decidability for Efficient Metric Learning
Pedro Silva, Guilherme A. L. Silva, Pablo Coelho +4
Deep Metric Learning (DML) aims to learn embedding functions that map semantically similar inputs to proximate points in a metric space while separating dissimilar ones. Existing m…
cs.CV2021
A Decidability-Based Loss Function
Pedro Silva, Gladston Moreira, Vander Freitas +3
Nowadays, deep learning is the standard approach for a wide range of problems, including biometrics, such as face recognition and speech recognition, etc. Biometric problems often…