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Convolution neural network (CNN) has been shown as one of state-of-the-art approaches for learning face representations. However, previous works only utilized identity information instead of leveraging human attributes (e.g., gender and age) which contain high-level semantic meaning. In this work, we aim to incorporate identity and human attributes in learning discriminative face representations through...
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