Deep face recognition: A survey
Mei Wang,Weihong Deng +1 more
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
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Application of Facial Recognition using Convolutional Neural Networks for Entry Access Control.
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An improved real time detection of data poisoning attacks in deep learning vision systems
TL;DR: In this article , the authors present the fundamentals of data poisoning attacks when training deep learning vision systems and discuss countermeasures against these types of attacks and simulate the risk posed by a real-world data poisoning attack on a deep learning system and present a novel algorithm MOVCE-model verification with convolutional neural network and word embedding which provides an effective countermeasure for maintaining the reliability of the system.
Patent
Verbeterde werkwijze en systeem voor camerabeveiliging
TL;DR: In this article, a werkwijze voor het beveiligen van a gebied is defined, i.e., the werk wijze omvattende het digitaal capteren van (warmte)beelden; het verwerken van de gecapteerde (warmtte) beeldens; and versturen van de beelden bij detectie van een of meerdere niet-geautoriseerde personen naar een community omv
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Modified spider monkey optimization algorithm based feature selection and probabilistic neural network classifier in face recognition
TL;DR: In this paper , the authors proposed a novel and robust predictive method using modified spider monkey optimization (MSMO) and probabilistic neural network (PNN) for face recognition, which achieved an accuracy of 99.4% with appreciable sensitivity, specificity, and G-mean.
Book ChapterDOI
A Novel Approach to End-to-End Facial Recognition Framework with Virtual Search Engine ElasticSearch.
TL;DR: In this paper, the authors proposed a full pipeline for an effective face recognition application which only uses a small Vietnamese-celebrity datasets and CPU for training that can solve the leakage of data and the need for GPU devices.
References
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Deep Residual Learning for Image Recognition
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Proceedings Article
ImageNet Classification with Deep Convolutional Neural Networks
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Proceedings Article
Very Deep Convolutional Networks for Large-Scale Image Recognition
Karen Simonyan,Andrew Zisserman +1 more
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Proceedings ArticleDOI
Going deeper with convolutions
Christian Szegedy,Wei Liu,Yangqing Jia,Pierre Sermanet,Scott Reed,Dragomir Anguelov,Dumitru Erhan,Vincent Vanhoucke,Andrew Rabinovich +8 more
TL;DR: Inception as mentioned in this paper is a deep convolutional neural network architecture that achieves the new state of the art for classification and detection in the ImageNet Large-Scale Visual Recognition Challenge 2014 (ILSVRC14).
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Generative Adversarial Nets
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TL;DR: A new framework for estimating generative models via an adversarial process, in which two models are simultaneously train: a generative model G that captures the data distribution and a discriminative model D that estimates the probability that a sample came from the training data rather than G.