Special Issue "Deep Learning in Image Analysis and Pattern Recognition"
Deadline for manuscript submissions: closed (30 August 2023) | Viewed by 3770
Interests: machine Learning; data mining; medical informatics; bioinformatics and service computing
In the past decade, deep learning has demonstrated state-of-the-art performances in many image processing tasks, such as image classification, object detection, object tracking, image segmentation and so on. Despite remarkable deep-learning-related achievements in computer vision, many challenging tasks and scenarios calling for novel methods and theories remain. For example, lightweight object detection is required in many applications, such as autonomous driving scenarios; however, the discrepancy between the speed of a machine and human eyes remains large. Fine-grained or small object detection constitutes another area of improvement. Weakly supervised object classification or detection is an important problem since the annotation process is time-consuming, expensive and inefficient. In addition, although deep learning achievements in computer vision have been successfully applied to many areas, greater efforts should be made to ensure this technology can better serve humans in the future.
This Special Issue call for papers detailing new advances in deep learning methods or applications in image analysis and pattern recognition. Topics of interest include, but are not limited to:
- Image classification;
- Object detection;
- Object tracking;
- Image segmentation;
- Convolutional neural networks;
- Diffusion model;
- Image captioning;
- Image clustering;
- Representation learning for images;
- Medical image processing;
- Remote sensing image processing;
- 3D image building.
Dr. Guoqing Chao
Dr. Xianzhi Wang
Manuscript Submission Information
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Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 1400 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.
- machine learning
- deep learning
- image analysis
- pattern recognition