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Jiancan Zhou

2 accepted papers

2023

UniFace: Unified Cross-Entropy Loss for Deep Face Recognition

ICCV 2023poster

As a widely used loss function in deep face recognition, the softmax loss cannot guarantee that the minimum positive sample-to-class similarity is larger than the maximum negative sample-to-class similarity. As a result, no unified threshold is available to separate positive sample-to-class pairs fr…

Cited by 29PDFcodeScholar
2023

UniTSFace: Unified Threshold Integrated Sample-to-Sample Loss for Face Recognition

NeurIPS 2023poster

Sample-to-class-based face recognition models can not fully explore the cross-sample relationship among large amounts of facial images, while sample-to-sample-based models require sophisticated pairing processes for training. Furthermore, neither method satisfies the requirements of real-world face…