Multiplying a face-recognition loss by a sigmoid of that loss, which up-weights hard examples and down-weights easy ones, gives small and inconsistent accuracy changes on LFW and YTF.
IEEE transactions on image processing 25(9), 4018–4032 (2016)
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Hard-Mining Loss based Convolutional Neural Network for Face Recognition
Multiplying a face-recognition loss by a sigmoid of that loss, which up-weights hard examples and down-weights easy ones, gives small and inconsistent accuracy changes on LFW and YTF.