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Web-Scale Training for Face Identification [article]

Yaniv Taigman, Ming Yang, Marc'Aurelio Ranzato, Lior Wolf
2015 arXiv   pre-print
Based on these discoveries, we are able to improve face recognition accuracy on the widely used LFW benchmark, both in the verification (1:1) and identification (1:N) protocols, and directly compare, for  ...  Scaling machine learning methods to very large datasets has attracted considerable attention in recent years, thanks to easy access to ubiquitous sensing and data from the web.  ...  The LFW dataset consists of 13,233 web photos of 5,749 celebrities, and is commonly used for benchmarking face verification.  ... 
arXiv:1406.5266v2 fatcat:6gss4perava27a7ztbkqocert4

Web-scale training for face identification

Yaniv Taigman, Ming Yang, Marc'Aurelio Ranzato, Lior Wolf
2015 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)  
Web-Scale Training for Face Identification Yaniv Taigman, Ming Yang, Marc’Aurelio Ranzato Lior Wolf  ...  from the task of predicting whether two face images belong to the web.  ... 
doi:10.1109/cvpr.2015.7298891 dblp:conf/cvpr/TaigmanYRW15 fatcat:tskutaxcnzeihjuyrpq26goany

Face Re-Identification Challenge: Are Face Recognition Models Good Enough?

Zhiyi Cheng, Xiatian Zhu, Shaogang Gong
2020 Pattern Recognition  
models on SurvFace by exploiting simultaneously image super-resolution and face-recognition models. • We provide extensive discussions on future research directions for face re-identification.  ...  We show that the current state-of-the-art FR methods are surprisingly poor for face Re-ID.  ...  For example, there are 4,753,320 web face images from 672,057 face IDs in MegaFace2 1 [8], which is made possible by easier collection and labelling of large scale facial images in the public domain from  ... 
doi:10.1016/j.patcog.2020.107422 fatcat:mmwc2azo5reizp6qaspgkfpt3q

Surveillance Face Recognition Challenge [article]

Zhiyi Cheng and Xiatian Zhu and Shaogang Gong
2018 arXiv   pre-print
Significant progress in FR has been made due to the recent introduction of the larger scale FR challenges, particularly with constrained social media web images, e.g. high-resolution photos of celebrity  ...  To facilitate more studies on developing FR models that are effective and robust for low-resolution surveillance facial images, we introduce a new Surveillance Face Recognition Challenge, which we call  ...  partially supported by the Royal Society Newton Advanced Fellowship Programme (NA150459), Innovate UK Industrial Challenge Project on Developing and Commercialising Intelligent Video Analytics Solutions for  ... 
arXiv:1804.09691v6 fatcat:c2xlmiv2yvbwngrg43enlnfbqu

Face recognition for web-scale datasets

Enrique G. Ortiz, Brian C. Becker
2014 Computer Vision and Image Understanding  
Focusing on web-scale face identification, we gather an 800,000 face dataset from the Facebook social network that models real-world situations where specific faces must be recognized and unknown identities  ...  web-scale scenarios.  ...  The development of a novel algorithm, LASRC, for realtime, accurate, and web-scale face identification (Sec. 4). 4.  ... 
doi:10.1016/j.cviu.2013.09.004 fatcat:weiw6j5zsrbr7mc52xpdm6mtyq

MS-Celeb-1M: Challenge of Recognizing One Million Celebrities in the Real World

Yandong Guo, Lei Zhang, Yuxiao Hu, Xiaodong He, Jianfeng Gao
2016 IS&T International Symposium on Electronic Imaging Science and Technology  
Face verification is to determine whether two given face images belong to the same person, while face identification is typically to fetch the most similar faces in a gallery image set for any given query  ...  Face recognition, as one of the most well-studied problems in computer vision, consists of two subproblems, verification and identification.  ...  People could train a robust gender classifier for the face images in the wild based on this large scale training data.  ... 
doi:10.2352/issn.2470-1173.2016.11.imawm-463 fatcat:wo7sluymx5aojpnimlpfglovni

Probabilistic person identification in TV news programs using image web database

F. Battisti, M. Carli, M. Leo, A. Neri, Karen O. Egiazarian, Sos S. Agaian, Atanas P. Gotchev
2014 Image Processing: Algorithms and Systems XII  
The application of automatic tools for face recognition is not yet fully established and the human intervention is needed.  ...  The target of the proposed method is to identify the presence of a specific person in a video by means of a set of images downloaded from Web using a specific search key.  ...  For each dataset we created 10 subsets via randomly selecting the training images per individual. The faces were scaled and cropped to be adapted to the size of 180x200 pixels.  ... 
doi:10.1117/12.2042087 dblp:conf/ipas/BattistiCLN14 fatcat:zkrpnzgkkjdlpng2b2l76eabee

Face Identification System for Personalized Services

Ansu Mathew, K. M. Martin, Shiyas Shahabudeen
2015 International Journal of Engineering Research and  
The Face Identification System for Personalized Services is a reliable, low cost solution for real-time face recognition and verification.  ...  A web-based userinterface is provided for administrative tasks like enrolment and user management. It is implemented in Wandboard Quad which is a Freescale i.MX6 Cortex-A9 processor.  ...  The system has two mode of operation: Face Identification mode, which is the default one and the Face Training mode, which is running on a web server.  ... 
doi:10.17577/ijertv4is060915 fatcat:odtw7yrsuffvxnpznzzmqhg7wi

Design and Build Web and API on "Absenplus" with Face Recognition using Deep Learning Method

Afada Wafri Arugia, Eko Junirianto, Eny Maria
2022 TEPIAN  
Besides, this research uses MTCNN for detection face image, Facenet Model to help model gets the extraction feature, and SVM for classification model image train and test.  ...  With technology who can help for developing "Absenplus" with design and build web and API as a web server who belong to integration into "Absenplus"'s application.  ...  Final step after validation face recognition on flask API, this step works for do automatic training model train face use cronjob every day at 11:05 PM.  the ""Absenplus"" web login page running properly  ... 
doi:10.51967/tepian.v3i2.738 fatcat:uhe6264xhzbyro64cdqhzl2k7i

MS-Celeb-1M: A Dataset and Benchmark for Large-Scale Face Recognition [article]

Yandong Guo, Lei Zhang, Yuxiao Hu, Xiaodong He, Jianfeng Gao
2016 arXiv   pre-print
More specifically, we propose a benchmark task to recognize one million celebrities from their face images, by using all the possibly collected face images of this individual on the web as training data  ...  In this paper, we design a benchmark task and provide the associated datasets for recognizing face images and link them to corresponding entity keys in a knowledge base.  ...  People could train a robust gender classifier for the face images in the wild based on this large scale training data.  ... 
arXiv:1607.08221v1 fatcat:dri2jg5iondefdorq6726llihu

MS-Celeb-1M: A Dataset and Benchmark for Large-Scale Face Recognition [chapter]

Yandong Guo, Lei Zhang, Yuxiao Hu, Xiaodong He, Jianfeng Gao
2016 Lecture Notes in Computer Science  
More specifically, we propose a benchmark task to recognize one million celebrities from their face images, by using all the possibly collected face images of this individual on the web as training data  ...  In this paper, we design a benchmark task and provide the associated datasets for recognizing face images and link them to corresponding entity keys in a knowledge base.  ...  People could train a robust gender classifier for the face images in the wild based on this large scale training data.  ... 
doi:10.1007/978-3-319-46487-9_6 fatcat:tdmmbojqxnawtc7ng3hlj3pzii

Vision: a web service for face recognition using convolutional network

Akino Archilles, Arya Wicaksana
2020 TELKOMNIKA (Telecommunication Computing Electronics and Control)  
This paper proposes a face recognition module built as a web service. We introduce a novel design and mechanism for face recognition on a web platform and to memorize most recent users for the user.  ...  The face recognition process done by Vision could also be utilized for user authentication and user memorization, both done in on a web platform.  ...  of User3 for identification TELKOMNIKA Telecommun Comput El Control  Vision: a web service for face recognition using convolutional network (Akino Archilles) 1393 Figure 5 .Figure 6 . 56 Face image  ... 
doi:10.12928/telkomnika.v18i3.14790 fatcat:xni2rbkkevc5tc6apkwkghl5oy

Large scale unconstrained open set face database

Archana Sapkota, Terrance E. Boult
2013 2013 IEEE Sixth International Conference on Biometrics: Theory, Applications and Systems (BTAS)  
This paper addresses large scale, unconstrained, open set face recognition, which exhibits the properties of operational face recognition scenarios.  ...  The database also exhibits the natural variability among the face images such as pose, illumination, scale, expressions, occlusion, etc.  ...  The database provides images collected from the web with pair matching protocol. It consists of 1100 match and 1100 non match pairs for training and 500 match and 500 non-match pairs for testing.  ... 
doi:10.1109/btas.2013.6712756 dblp:conf/btas/SapkotaB13 fatcat:7b6yimdm35fo3pgzzzdlb4b7fe

Web-Based Training in Early Autism Screening: Results from a Pilot Study

Kenneth A. Kobak, Wendy L. Stone, Opal Y. Ousley, Amy Swanson
2011 Telemedicine journal and e-health  
Discussion: Results support Web-based training as a promising method for promoting early identification of autism and may help overcome problems associated with the critical shortage of autism-screening  ...  This study evaluated the efficacy and acceptability of Web-based training of the STAT as a means of increasing accessibility to this training.  ...  For over 10 years, community service providers have received STAT training through participation in formal face-to-face training workshops.  ... 
doi:10.1089/tmj.2011.0029 pmid:21939382 pmcid:PMC3179612 fatcat:j7ezsnpwhjfxpbqpbqzhxhau6a

Deep Learning Convolutional Neural Network for Face Recognition: A Review

Rondik J. Hassan, Adnan Mohsin Abdulazeez
2021 Zenodo  
Face recognition is increasingly being used for solving various social-problems such as personal protection and authentication.  ...  The purpose of this paper is to provide a review of face recognition approaches.  ...  The structure can increase the precision of training speed and face recognition and is ideal for small-scale data sets.  ... 
doi:10.5281/zenodo.4471013 fatcat:xrxhq2bdkjaj7fevn55trjgrla
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