Application of Neural Networks in Image Classification

Dear Colleagues,

Artificial neural network (ANNs) research and its applications have grown tremendously in the last decade due to the enhancement of computers’ operational capability, availability of labeled data, and advances in learning algorithms. Classification as a fundamental task has made great strides and been employed in many other tasks. This Special Issue aims to provide a platform for researchers to share state-of-the-art developments in the field. The scope of this Special Issue is deep learning, machine vision, and application of neural networks in a wide range of real-world problems, such as object tracking, web intelligence, remote sensing images, action recognition, and segmentation and classification.

The topics of interests include but are not limited to the following topics:  

• Image classification based on deep learning algorithms
• Deep learning theory
• Deep generative model
• Multitask, transfer, and meta learning
• Deep reinforcement learning
• Image based object tracking using deep learning
• Anomaly detection
• Real-world applications based on deep learning
• Survey for deep learning-based image classification

Prof. Dr. Dong-Joong Kang
Prof. Dr. Zhu Teng
Guest Editors

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