An All-In-One Convolutional Neural Network for Face Analysis
2016-11-03Code Available0· sign in to hype
Rajeev Ranjan, Swami Sankaranarayanan, Carlos D. Castillo, Rama Chellappa
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Abstract
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.
Tasks
Benchmark Results
| Dataset | Model | Metric | Claimed | Verified | Status |
|---|---|---|---|---|---|
| IJB-A | All-in-one CNN | TAR @ FAR=0.01 | 92.2 | — | Unverified |