{"about":{"site":"https://codewithpapers.app","non_affiliation":"Code with Papers and Syntology are not affiliated with, endorsed by, or sponsored by Papers with Code, Meta, or the pwc-archive mirror.","licence":"CC BY-SA 4.0","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","attribution":"https://codewithpapers.app/attribution","modified":"archive material modified by Syntology; see the attribution page"},"url":"/paper/unconstrained-face-verification-using-deep","title":"Unconstrained Face Verification using Deep CNN Features","arxiv_id":"1508.01722","date":"2015-08-07","proceeding":null,"authors":["Jun-Cheng Chen","Vishal M. Patel","Rama Chellappa"],"abstract":"In this paper, we present an algorithm for unconstrained face verification\nbased on deep convolutional features and evaluate it on the newly released\nIARPA Janus Benchmark A (IJB-A) dataset. The IJB-A dataset includes real-world\nunconstrained faces from 500 subjects with full pose and illumination\nvariations which are much harder than the traditional Labeled Face in the Wild\n(LFW) and Youtube Face (YTF) datasets. The deep convolutional neural network\n(DCNN) is trained using the CASIA-WebFace dataset. Extensive experiments on the\nIJB-A dataset are provided.","url_abs":"http://arxiv.org/abs/1508.01722v2","url_pdf":"http://arxiv.org/pdf/1508.01722v2.pdf","source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","row_kind":"abstracts"},"code_links":[],"tasks":[{"task_slug":"face-verification","task_name":"Face Verification"}],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[{"leaderboard":"/sota/face-verification-on-ijb-a","task":"Face Verification","dataset":"IJB-A","model":"DCNN","rank_in_archive_order":14,"of":17,"metrics":{"TAR @ FAR=0.01":"83.80%"},"uses_additional_data":false}],"syntology":{"atlas_url":"https://app.syntology.ai/?focus=1508.01722","mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}