<?xml version="1.0" encoding="UTF-8"?>
<doi_batch version="4.3.0" xmlns="http://www.crossref.org/doi_resources_schema/4.3.0" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.crossref.org/doi_resources_schema/4.3.0 http://www.crossref.org/schema/deposit/doi_resources4.3.0.xsd">
<head>
<doi_batch_id>59b039ab-1e96-4b7f-9076-67b4add1fe4e</doi_batch_id>
<depositor>
<name>beie</name>
<email_address>director@blueeyesintelligence.org</email_address>
</depositor>
</head>
<body>
<doi_citations>
<doi>10.35940/ijitee.C8409.0110321</doi>
<citation_list><citation key="ref0"><doi>10.1109/CVPR.2015.7298682</doi><unstructured_citation>Schroff, Florian, Dmitry Kalenichenko, and James Philbin. &quot;Facenet: A unified embedding for face recognition and clustering.&quot; In Proceedings of the IEEE conference on computer vision and pattern recognition, pp. 815-823. 2015.</unstructured_citation></citation><citation key="ref1"><doi>10.1007/978-3-319-97909-0_46</doi><unstructured_citation>Chen, Sheng, Yang Liu, Xiang Gao, and Zhen Han. &quot;Mobilefacenets: Efficient cnns for accurate real-time face verification on mobile devices.&quot; In Chinese Conference on Biometric Recognition, pp. 428-438. Springer, Cham, 2018.</unstructured_citation></citation><citation key="ref2"><doi>10.5244/C.29.41</doi><unstructured_citation>Parkhi, Omkar M., Andrea Vedaldi, and Andrew Zisserman. &quot;Deep face recognition.&quot; (2015).</unstructured_citation></citation><citation key="ref3"><doi>10.3390/electronics9081188</doi><unstructured_citation>Adjabi, Insaf, Abdeldjalil Ouahabi, Amir Benzaoui, and Abdelmalik Taleb-Ahmed. &quot;Past, present, and future of face recognition: a review.&quot; Electronics 9, no. 8 (2020): 1188.</unstructured_citation></citation><citation key="ref4"><doi>10.1109/CVPR.2014.220</doi><unstructured_citation>Y. Taigman, M. Yang, M. Ranzato and L. Wolf, &quot;DeepFace: Closing the Gap to Human-Level Performance in Face Verification,&quot; 2014 IEEE Conference on Computer Vision and Pattern Recognition, Columbus, OH, 2014, pp. 1701-1708, doi: 10.1109/CVPR.2014.220.</unstructured_citation></citation><citation key="ref5"><unstructured_citation>Sun, Yi, Yuheng Chen, Xiaogang Wang, and Xiaoou Tang. &quot;Deep learning face representation by joint identification-verification.&quot; Advances in neural information processing systems 27 (2014): 1988-1996.</unstructured_citation></citation><citation key="ref6"><doi>10.1109/CVPR.2014.244</doi><unstructured_citation>Y. Sun, X. Wang and X. Tang, &quot;Deep Learning Face Representation from Predicting 10,000 Classes,&quot; 2014 IEEE Conference on Computer Vision and Pattern Recognition, Columbus, OH, 2014, pp. 1891-1898, doi: 10.1109/CVPR.2014.244.</unstructured_citation></citation><citation key="ref7"><doi>10.1109/CVPR.2015.7298891</doi><unstructured_citation>Y. Taigman, M. Yang, M. Ranzato and L. Wolf, &quot;Web-scale training for face identification,&quot; 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Boston, MA, 2015, pp. 2746-2754, doi: 10.1109/CVPR.2015.7298891.</unstructured_citation></citation><citation key="ref8"><doi>10.1109/LSP.2016.2603342</doi><unstructured_citation>Zhang, Kaipeng, Zhanpeng Zhang, Zhifeng Li, and Yu Qiao. &quot;Joint face detection and alignment using multitask cascaded convolutional networks.&quot; IEEE Signal Processing Letters 23, no. 10 (2016): 1499-1503.</unstructured_citation></citation><citation key="ref9"><unstructured_citation>Huang, Gary B., Marwan Mattar, Tamara Berg, and Eric Learned-Miller. &quot;Labeled faces in the wild: A database forstudying face recognition in unconstrained environments.&quot; 2008.</unstructured_citation></citation><citation key="ref10"><doi>10.1109/TIFS.2014.2359646</doi><unstructured_citation>Eidinger, Eran, Roee Enbar, and Tal Hassner. &quot;Age and gender estimation of unfiltered faces.&quot; IEEE Transactions on Information Forensics and Security 9, no. 12 (2014): 2170-2179.</unstructured_citation></citation><citation key="ref11"><doi>10.1109/34.879790</doi><unstructured_citation>Phillips, P. Jonathon, Hyeonjoon Moon, Syed A. Rizvi, and Patrick J. Rauss. &quot;The FERET evaluation methodology for face-recognition algorithms.&quot; IEEE Transactions on pattern analysis and machine intelligence 22, no. 10 (2000): 1090-1104.</unstructured_citation></citation></citation_list>
</doi_citations>
</body>
</doi_batch>
