Papers › An All-In-One Convolutional Neural Network for Face Analysis
An All-In-One Convolutional Neural Network for Face Analysis
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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Tasks
Results from the paper archive 2025-07-28
| Task | Dataset | Model | Metric | Value | Rank at snapshot | Leaderboard | Report |
|---|---|---|---|---|---|---|---|
| Face Verification | IJB-A | All-in-one CNN | TAR @ FAR=0.01 | 92.20% | #10 of 17 | Archive leaderboard | report |
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