Deep face recognition: A survey
Mei Wang,Weihong Deng +1 more
Reads0
Chats0
TLDR
A comprehensive review of the recent developments on deep face recognition can be found in this paper, covering broad topics on algorithm designs, databases, protocols, and application scenes, as well as the technical challenges and several promising directions.About:
This article is published in Neurocomputing.The article was published on 2021-03-14 and is currently open access. It has received 353 citations till now. The article focuses on the topics: Deep learning & Feature extraction.read more
Citations
More filters
Journal Article
“Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks”の学習報告
Journal ArticleDOI
A Survey of Deep Learning-Based Object Detection
TL;DR: This survey provides a comprehensive overview of a variety of object detection methods in a systematic manner, covering the one-stage and two-stage detectors, and lists the traditional and new applications.
Journal ArticleDOI
Deep neural network concepts for background subtraction:A systematic review and comparative evaluation
TL;DR: In this article, the authors provide a review of deep neural network concepts in background subtraction for novices and experts in order to analyze this success and to provide further directions.
MORPH: A Longitudinal Image Database of Normal Adult Age-Progression.
Karl Ricanek,Tamirat Tesafaye +1 more
TL;DR: It is concluded that the problem of age-progression on face recognition (FR) is not unique to the algorithm used in this work, and the efficacy of this algorithm is evaluated against the variables of gender and racial origin.
References
More filters
Posted Content
Rethinking Feature Discrimination and Polymerization for Large-scale Recognition.
Yu Liu,Hongyang Li,Xiaogang Wang +2 more
TL;DR: The congenerous cosine (COCO) algorithm is proposed to simultaneously optimize the cosine similarity among data and inherits the softmax property to make inter-class features discriminative as well as shares the idea of class centroid in metric learning.
Proceedings ArticleDOI
Mitigating Bias in Face Recognition Using Skewness-Aware Reinforcement Learning
Mei Wang,Weihong Deng +1 more
TL;DR: Zhang et al. as mentioned in this paper proposed a reinforcement learning based race balance network (RL-RBN) to learn balanced performance for different races based on large margin losses and formulated the process of finding the optimal margins for non-Caucasians as a Markov decision process and employed deep Q-learning to learn policies for an agent to select appropriate margin by approximating the Q-value function.
Posted Content
Adversarial Generative Nets: Neural Network Attacks on State-of-the-Art Face Recognition.
TL;DR: This paper shows how to create eyeglasses that, when worn, can succeed in targeted or untargeted attacks while improving on previous work in one or more of three facets: inconspicuousness to onlooking observers, robustness of the attack against proposed defenses, and scalability in the sense of decoupling eyeglass creation from the subject who will wear them.
Proceedings Article
Unravelling Robustness of Deep Learning Based Face Recognition Against Adversarial Attacks
TL;DR: In this article, the authors investigated the impact of adversarial attacks on the robustness of DNN-based face recognition models and proposed several effective countermeasures to mitigate the impact.
Journal ArticleDOI
Face alignment in-the-wild: A Survey
Xin Jin,Xiaoyang Tan +1 more
TL;DR: This survey presents an up-to-date critical review of the existing literatures on face alignment, focusing on those methods addressing overall difficulties and challenges of this topic under uncontrolled conditions.