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Semi-Siamese Training for Shallow Face Learning

european conference on computer vision, pp.36-53, (2020)

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Most existing public face datasets, such as MS-Celeb-1M and VGGFace2, provide abundant information in both breadth (large number of IDs) and depth (sufficient number of samples) for training. However, in many real-world scenarios of face recognition, the training dataset is limited in depth, i.e. only two face images are available for e...更多

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