An All-In-One Convolutional Neural Network for Face Analysis

3 Nov 2016  ·  Rajeev Ranjan, Swami Sankaranarayanan, Carlos D. Castillo, Rama Chellappa ·

We present a multi-purpose algorithm for simultaneous face detection, face alignment, pose estimation, gender recognition, smile detection, age estimation and face recognition using a single deep convolutional neural network (CNN). The proposed method employs a multi-task learning framework that regularizes the shared parameters of CNN and builds a synergy among different domains and tasks. Extensive experiments show that the network has a better understanding of face and achieves state-of-the-art result for most of these tasks.

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Results from the Paper

Task Dataset Model Metric Name Metric Value Global Rank Result Benchmark
Face Verification IJB-A All-in-one CNN TAR @ FAR=0.01 92.20% # 9


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