May 11, 2022 · In this paper, we propose a joint multi-feature learning method for robust facial age estimation by extensively exploring age-related features.

Nov 9, 2021 · In this paper, we propose a joint multi-feature learning method for robust facial age estimation by extensively exploring age-related features.

In this paper, we propose a joint multi-feature learning method for robust facial age estimation by extensively exploring age-related features. Specifically, we ...

Rothe, R., Timofte, R., Van Gool, L.: Deep expectation of real and apparent age from a single image without facial landmarks. Int. J. Comput. Vis.

May 10, 2022 · In this paper, we propose a joint multi-feature learning method for robust facial age estimation by extensively exploring age-related features.

In this paper, we have proposed a multi-feature ordinal ranking method for age estimation by learning weighted classifiers on multiple feature sets. ... joint ...

The proposed network efficiently merges the features of three stages and optimizes the mapping of feature maps to an ordered binary comparison space.

The main contribution of this paper is an extensive comparative analysis of several frameworks for real AAE based on deep learning architectures.

Get details about the chapter of Joint Multi-feature Learning for Facial Age Estimation from book Pattern Recognition: 6th Asian Conference, ACPR 2021, ...

However, existing methods for facial age estimation often struggle with accuracy due to limited feature extraction capabilities and inefficiencies in learning ...