Comparison prediction network: A novel approach to estimate apparent age

Yuhu Nie; Wenpeng Cui; Jian Sun; Bokuan Yang; Wei Su

doi:10.1117/12.2660713

30 November 2022 Comparison prediction network: A novel approach to estimate apparent age

Yuhu Nie, Wenpeng Cui, Jian Sun, Bokuan Yang, Wei Su

Proceedings Volume 12456, International Conference on Artificial Intelligence and Intelligent Information Processing (AIIIP 2022); 124561J (2022) https://doi.org/10.1117/12.2660713
Event: International Conference on Artificial Intelligence and Intelligent Information Processing (AIIIP 2022), 2022, Qingdao, China

Abstract

This paper presents a novel CNN model called comparison prediction network for apparent age estimation. The algorithm is structured by feature extraction and Face feature database. Compared with the existing methods, our algorithm can better deal with the problem caused by differences between apparent age and actual age, which improves the prediction precision of the model with the increasing credibility and robustness of the model prediction results, enhancing the generalization ability of the model. The algorithm has fewer parameters and is lighter than other methods, which is suitable for mobile deployment.

Citation Download Citation

Yuhu Nie, Wenpeng Cui, Jian Sun, Bokuan Yang, and Wei Su "Comparison prediction network: A novel approach to estimate apparent age", Proc. SPIE 12456, International Conference on Artificial Intelligence and Intelligent Information Processing (AIIIP 2022), 124561J (30 November 2022); https://doi.org/10.1117/12.2660713

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KEYWORDS

Data modeling

Databases

Statistical modeling

Convolution

Evolutionary algorithms

Binary data

Feature extraction

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