MobileAgeNet uses a MobileNetV3-Large backbone with a regression head to achieve 4.65 years mean absolute error in age estimation and 14.4 ms on-device latency with 3.23 million parameters.
Fine-grained age estimation in the wild with attention LSTM networks.IEEE Transactions on Circuits and Systems for Video Technology, 30(9):3140– 3152, 2020
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MobileAgeNet: Lightweight Facial Age Estimation for Mobile Deployment
MobileAgeNet uses a MobileNetV3-Large backbone with a regression head to achieve 4.65 years mean absolute error in age estimation and 14.4 ms on-device latency with 3.23 million parameters.