DeepFace: Closing the Gap to Human-Level Performance in Face Verification

Keywords

Computer science, Affine transformation, Artificial intelligence, Pattern recognition (psychology), Convolutional neural network

References

• Emergence of Complex-Like Cells in a Temporal Product Network with Local Receptive FieldsKarol Gregor, Yann LeCun — 2010
• Learning representations by back-propagating errorsDavid E. Rumelhart, Geoffrey E. Hinton, Ronald J. Williams — 1986
• Labeled Faces in the Wild: A Database forStudying Face Recognition in Unconstrained EnvironmentsGary B. Huang, Marwan Mattar, Tamara L. Berg — 2008
• Fusing Robust Face Region Descriptors via Multiple Metric Learning for Face Recognition in the WildZhen Cui, Li Wen, Dong Xu — 2013
• Fisher Vector Faces in the WildKaren Simonyan, Omkar Parkhi, Andrea Vedaldi — 2013
• Deep Convolutional Network Cascade for Facial Point DetectionYi Sun, Xiaogang Wang, Xiaoou Tang — 2013
• Towards Pose Robust Face RecognitionYi Dong, Zhen Lei, Stan Z. Li — 2013
• An introduction to the good, the bad, & the ugly face recognition challenge problemP. Jonathon Phillips, J. Ross Beveridge, Bruce A. Draper — 2011
• Multiple One-Shots for Utilizing Class Label InformationYaniv Taigman, Lior Wolf, Tal Hassner — 2009
• Learning hierarchical representations for face verification with convolutional deep belief networksGuoyang Huang, Honglak Lee, Erik Learned-Miller — 2012
• Face recognition in unconstrained videos with matched background similarityLior Wolf, Tal Hassner, Itay Maoz — 2011
• Tom-vs-Pete Classifiers and Identity-Preserving Alignment for Face VerificationThomas Berg, Peter N. Belhumeur — 2012
• The SVM-Minus Similarity Score for Video Face RecognitionLior Wolf, Noga Levy — 2013
• A Practical Transfer Learning Algorithm for Face VerificationXudong Cao, David Wipf, Fang Wen — 2013
• Face detection, pose estimation, and landmark localization in the wildXiangxin Zhu, Deva Ramanan — 2012
• Improving deep neural networks for LVCSR using rectified linear units and dropoutGeorge E. Dahl, Tara N. Sainath, Geoffrey E. Hinton — 2013
• Learning Deep Architectures for AIYoshua Bengio — 2007
• Probabilistic Elastic Matching for Pose Variant Face VerificationHaoxiang Li, Gang Hua, Zhe Lin — 2013
• Fast High Dimensional Vector Multiplication Face RecognitionOren Barkan, Jonathan Weill, Lior Wolf — 2013
• Gradient-based learning applied to document recognitionYann LeCun, Léon Bottou, Yoshua Bengio — 1998

Cited by

• A Comprehensive Survey on Pose-Invariant Face RecognitionChangxing Ding, Dacheng Tao — 2015
• A FPGA-Based, Granularity-Variable Neuromorphic Processor and Its Application in a MIMO Real-Time Control SystemRocco Mangieri — 2017
• Tumor gene expression data classification via sample expansion-based deep learningTeresa Cruz Sánchez — 2017
• Fast and scalable distributed deep convolutional autoencoder for fMRI big data analyticsAlba Àgueda, Elsa Pastor, Eulàlia Planas — 2017
• Face Recognition and Privacy in the Age of Augmented RealityAlessandro Acquisti, Ralph Gross, Fred Stutzman — 2014
• Simultaneous Feature and Dictionary Learning for Image Set Based Face RecognitionJiwen Lu, Gang Wang, Jie Zhou — 2014
• Object detection and recognition: from saliency prediction to one-shot trained detectorsAdrià Recasens Continente — 2014
• Privacy behaviours: protecting consumers from their friends and themselvesLiam Pomfret, Josephine Previte — 2014
• DropSample: A New Training Method to Enhance Deep Convolutional Neural Networks for Large-Scale Unconstrained Handwritten Chinese Character RecognitionWeixin Yang, Lianwen Jin, Dacheng Tao — 2015
• Deep learning and face recognition: the state of the artStephen Balaban — 2015
• Recognition of Faces from single and Multi-View VideosMing-hui Du — 2014
• SVM and ELM: Who Wins? Object Recognition with Deep Convolutional Features from ImageNetLei Zhang, David Zhang — 2015
• Facial age estimation by using stacked feature composition and selectionYa Li, Zhanglin Peng, Depeng Liang — 2016
• 3D face recognition based on pose and expression invariant alignmentNaeem Iqbal Ratyal, Imtiaz Ahmad Taj, Usama Ijaz Bajwa — 2015
• Flowing ConvNets for Human Pose Estimation in VideosTomas Pfister, James Charles, Andrew Zisserman — 2015
• A deep analysis on age estimationIván Huerta, Carles Fernández, Carlos Segura — 2015
• Scene text detection and recognition: recent advances and future trendsYingying Zhu, Cong Yao, Xiang Bai — 2015
• Improvement in Detection of Wrong-Patient Errors When Radiologists Include Patient Photographs in Their Interpretation of Portable Chest RadiographsSrini Tridandapani, Kevin Olsen, Pamela Bhatti — 2015
• Compiling attention datasets : Developing a method for annotating face datasets with human performance attention labels using crowdsourcingDaniel Romuld, Markus Ruhmén — 2015
• Computer Vision for Head Pose Estimation: Review of a CompetitionHeikki Huttunen, Ke Chen, Abhishek Thakur — 2015

Related papers

• An Adaptable Real-Time Object Detection for Traffic Surveillance using R-CNN over CNN with Improved AccuracyG. Vinod, G. Padmapriya — 2022
• Active origin method for affine matchingJufu Feng, Qingyun Shi — 1998
• SEGMENTATION OF MEDICAL IMAGES BY CONVOLUTIONAL NEURAL NETWORKSV. S. Lutsenko, A. E. Shukhman — 2022
• Convolutional Neural Network (CNN) Applied to the Risk Analysis of Accidents in Vessels Navigating the Amazon RiversAriel Victor Do Nascimento, Carolina Costa Ramos, João Antonio Brazão Pantoja — 2023
• The preliminary study of artificial intelligence based on convolutional neural network as a corrosion detection tool on ship structuresNurhadi Siswantoro, Trika Pitana, Taufik Reza Nurdiansyah — 2023
• Solving Parameters of Affine Transformation Based on ACOBiao Li — 2007
• Age Estimation Method based on Comparative Convolutional Neural Network using Inception ModuleYu Hwan Kim, Jeong Yoo soo, Yun-Su Chung — 2018
• Convolutional Neural Network for Automated Analyzing of Medical ImagesMs. A. Cibi, Dr.R. Jemila Rose — 2020
• Gated factored 3-way RBM for image transformationLei Xia, Amit Yadav, Ning Duobiao — 2016