An ensemble of fine-tuned deep learning models improves facial age estimation accuracy for the 16-17 year old group to 68%, four times better than the base DEX model.
In Biometrics (ijcb), 2011 international joint conference on
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Improving Borderline Adulthood Facial Age Estimation through Ensemble Learning
An ensemble of fine-tuned deep learning models improves facial age estimation accuracy for the 16-17 year old group to 68%, four times better than the base DEX model.