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· 2014

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

Yaniv Taigman, Ming Yang, Marc’Aurelio Ranzato, Lior Wolf

Short summary

DeepFace, a nine-layer deep neural network with over 120 million parameters, achieves 97.35% accuracy on the Labeled Faces in the Wild (LFW) dataset, surpassing the previous state-of-the-art by over 27% and nearing human-level performance.

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Field: Computer Vision and Pattern Recognition

Computer Vision and Pattern RecognitionComputer Science