Support Vector Guided Softmax Loss for Face Recognition

Support Vector Guided Softmax Loss for Face Recognition

29 December 2018

Shuo Wang

Tao Mei

Papers citing "Support Vector Guided Softmax Loss for Face Recognition"

7 / 7 papers shown

Title
DigiFace-1M: 1 Million Digital Face Images for Face Recognition Gwangbin Bae M. D. L. Gorce T. Baltrušaitis Charlie Hewitt Dong Chen Julien P. C. Valentin R. Cipolla Jingjing Shen CVBM 33 111 0 05 Oct 2022
An Efficient Training Approach for Very Large Scale Face Recognition Kai Wang Shuo Wang Panpan Zhang Zhipeng Zhou Zheng Zhu Xiaobo Wang Xiaojiang Peng Baigui Sun Hao Li Yang You CVBM 56 23 0 21 May 2021
Loss Function Search for Face Recognition Xiaobo Wang Shuo Wang Cheng Chi Shifeng Zhang Tao Mei CVBM 30 48 0 10 Jul 2020
More Information Supervised Probabilistic Deep Face Embedding Learning Ying Huang Shangfeng Qiu Wenwei Zhang Xianghui Luo Jinzhuo Wang CVBM 24 2 0 08 Jun 2020
Learning Meta Face Recognition in Unseen Domains Jianzhu Guo Xiangyu Zhu Chenxu Zhao Dong Cao Zhen Lei Stan Z. Li CVBM OOD 22 142 0 17 Mar 2020
A Dataset and Benchmark for Large-scale Multi-modal Face Anti-spoofing Shifeng Zhang Xiaobo Wang Ajian Liu Chenxu Zhao Jun Wan Sergio Escalera Hailin Shi Zezheng Wang Stan Z. Li AAML CVBM 33 153 0 02 Dec 2018
Deeply learned face representations are sparse, selective, and robust Yi Sun Xiaogang Wang Xiaoou Tang CVBM 252 921 0 03 Dec 2014