CosFace: Large Margin Cosine Loss for Deep Face Recognition
@article{Wang2018CosFaceLM, title={CosFace: Large Margin Cosine Loss for Deep Face Recognition}, author={H. Wang and Yitong Wang and Z. Zhou and Xing Ji and Zhifeng Li and Dihong Gong and Jingchao Zhou and Wenyu Liu}, journal={2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition}, year={2018}, pages={5265-5274} }
Face recognition has made extraordinary progress owing to the advancement of deep convolutional neural networks (CNNs. [...] Key Method More specifically, we reformulate the softmax loss as a cosine loss by L2 normalizing both features and weight vectors to remove radial variations, based on which a cosine margin term is introduced to further maximize the decision margin in the angular space. As a result, minimum intra-class variance and maximum inter-class variance are achieved by virtue of normalization and…Expand
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Angular penalty loss functions in Pytorch (ArcFace, SphereFace, Additive Margin, CosFace)
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