Evolving Convolutional Neural Network and Its Application in Fine-Grained Visual Categorization

Fine-grained visual categorization is one of the challenges in computer vision due to the high intra-class but low inter-class variances. Convolutional neural networks (CNNs) are widely used to solve this problem. However, a huge number of clearly labeled images are usually required to train a CNN m...

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Bibliographic Details
Main Authors: Qi Xuan, Haoquan Xiao, Chenbo Fu, Yi Liu
Format: Article
Language:English
Published: IEEE 2018-01-01
Series:IEEE Access
Subjects:
Online Access:https://ieeexplore.ieee.org/document/8369422/