Additive Margin Softmax for Face Verification

17 Jan 2018 Feng Wang Weiyang Liu Haijun Liu Jian Cheng

In this paper, we propose a conceptually simple and geometrically interpretable objective function, i.e. additive margin Softmax (AM-Softmax), for deep face verification. In general, the face verification task can be viewed as a metric learning problem, so learning large-margin face features whose intra-class variation is small and inter-class difference is large is of great importance in order to achieve good performance... (read more)

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TASK DATASET MODEL METRIC NAME METRIC VALUE GLOBAL RANK SOURCE PAPER COMPARE
Face Verification Trillion Pairs Dataset AM-Softmax Accuracy 61.61 # 2
Face Identification Trillion Pairs Dataset AM-Softmax Accuracy 61.80 # 2

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