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Found 2 papers, 1 papers with code
Rediscovering BCE Loss for Uniform Classification
We also propose the uniform classification accuracy as a metric to measure the model's performance in uniform classification.
UniFace: Unified Cross-Entropy Loss for Deep Face Recognition
To bridge this gap, we design a UCE (Unified Cross-Entropy) loss for face recognition model training, which is built on the vital constraint that all the positive sample-to-class similarities shall be larger than the negative ones.
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