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Found 2 papers, 1 papers with code
Open-Set Face Recognition with Maximal Entropy and Objectosphere Loss
MEL modifies the traditional Cross-Entropy loss in favor of increasing the entropy for negative samples and attaches a penalty to known target classes in pursuance of gallery specialization.
Eight Years of Face Recognition Research: Reproducibility, Achievements and Open Issues
With the popularity of deep learning and its capability to solve a huge variety of different problems, face recognition researchers have concentrated effort on creating better models under this paradigm.
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