Comparison of Three Different CNN Architectures for Age Classification
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In this paper, three differentCNN architectures for age classification using face images arecompared. The Morph dataset containing over 55k images isused in ...
High accuracy and low overhead are two key features of a well-designed classifier for different classification scenarios. In this paper, we propose an improved ...
This paper presents a comprehensive study of different Convolutional Neural Network models for the classification of Braille characters.
In this paper, three different. CNN architectures for age classification using face images are compared. The Morph dataset containing over 55k images is used in ...
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Comparative Analysis of CNN Architectures and Loss Functions ...
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We compared three CNN architectures: EfficientNetB3, ResNet50, and InceptionV3, and found that InceptionV3, typically used for object recognition, outperformed ...
M. Fatih Aydogdu, Vakkas Celik, M. Fatih Demirci: Comparison of Three Different CNN Architectures for Age Classification. ICSC 2017: 372-377.
Inproceedings,. Comparison of Three Different CNN Architectures for Age Classification. M. Aydogdu, V.
Comparison of three different convolutional neural network (CNN) architectures. (A) VGG19 model, Inception V3 model, and ResNet50 model.
Comparison of three different cnn architectures for age classification. In Semantic Computing (ICSC), 2017 IEEE 11th International Conference on, pages 372 ...
This paper presents with a detailed comparison of 3 popular models of Convolution Neural Networks and their performance of popular datasets.