Deep Learning in Image Recognition: Latest Advances and Prospects
A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Computing and Artificial Intelligence".
Deadline for manuscript submissions: closed (10 March 2024) | Viewed by 389
Special Issue Editors
Interests: machine learning; deep learning; digital image processing; human–computer interaction
Interests: artificial intelligence; machine learning; data science programming; design thinking
Special Issue Information
Dear Colleagues,
Image recognition has been one of the most powerful developments in the area of deep learning in recent years. From the basic technologies of image classification, object recognition, and object segmentation, to the applications of handwriting recognition, face recognition, image generation, image captioning, self-driving cars, smart homes, product inspection, security surveillance, medical imaging, augmented reality, edge computing, etc., these advances in deep learning in image recognition make it a hot topic. Although the method of deep learning is quite time-consuming and laborious, many methods that can achieve real-time calculations have been proposed thus far, and the results are quite good. There are also many discussions on the proposal of new network architecture, the improvement of network performance, and the improvement of data enhancement in deep learning. This Special Issue hopes to focus on deep learning in image recognition, and discuss the latest technological advances and future prospects.
Dr. Yu-Xiang Zhao
Dr. Chien-Hsing Chou
Dr. Yi-Zeng Hsieh
Guest Editors
Manuscript Submission Information
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Keywords
- applications
- cross-disciplinary
- real-time
- network architecture
- network performance
- data enhancement
