P2SGrad: Refined Gradients for Optimizing Deep Face Models

P2SGrad: Refined Gradients for Optimizing Deep Face Models

7 May 2019

Yu Qiao

Papers citing "P2SGrad: Refined Gradients for Optimizing Deep Face Models"

8 / 8 papers shown

Title
SFace: Sigmoid-Constrained Hypersphere Loss for Robust Face Recognition Yaoyao Zhong Weihong Deng Jiani Hu Dongyue Zhao Xian Li Dongchao Wen 3DH CVBM 48 87 0 24 May 2022
AdaFace: Quality Adaptive Margin for Face Recognition Minchul Kim Anil K. Jain Xiaoming Liu CVBM 39 396 0 03 Apr 2022
Dissecting the impact of different loss functions with gradient surgery Hong Xuan Robert Pless 20 1 0 27 Jan 2022
NPT-Loss: A Metric Loss with Implicit Mining for Face Recognition S. S. Khalid Muhammad Awais Chi-Ho Chan Zhenhua Feng Ammarah Farooq A. Akbari J. Kittler CVBM 11 10 0 05 Mar 2021
The Elements of End-to-end Deep Face Recognition: A Survey of Recent Advances Hang Du Hailin Shi Dan Zeng Xiaoping Zhang Tao Mei OOD 33 118 0 28 Sep 2020
Biometrics Recognition Using Deep Learning: A Survey Shervin Minaee AmirAli Abdolrashidi Hang Su Bennamoun David C. Zhang 19 84 0 30 Nov 2019
Deep Face Recognition Model Compression via Knowledge Transfer and Distillation J. Karlekar Jiashi Feng Zi Sian Wong Sugiri Pranata CVBM 26 13 0 03 Jun 2019
Range Loss for Deep Face Recognition with Long-tail Xiao Zhang Zhiyuan Fang Yandong Wen Zhifeng Li Yu Qiao CVBM 243 446 0 28 Nov 2016