Subtasks of unconstrained face recognition

Subtasks of unconstrained face recognition

Unconstrained face recognition remains a challenging computer vision problem despite recent exceptionally high results ( ~ 95% accuracy) on the current gold standard evaluation dataset: Labeled Faces in the Wild (LFW). We offer a decomposition of the unconstrained problem into subtasks based on the...

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Bibliographic Details
Main Authors: Leibo, Joel Z. (Contributor), Liao, Qianli (Contributor), Poggio, Tomaso A. (Contributor)
Other Authors: Center for Brains, Minds and Machines at MIT (Contributor), Massachusetts Institute of Technology. Department of Brain and Cognitive Sciences (Contributor), Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science (Contributor), McGovern Institute for Brain Research at MIT (Contributor)
Format: Article
Language:English
Published: 2016-05-13T19:00:14Z.
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