Recent Advances in Pixel-Wise Image Understanding
A special issue of Electronics (ISSN 2079-9292). This special issue belongs to the section "Electronic Multimedia".
Deadline for manuscript submissions: closed (15 November 2023) | Viewed by 843
Special Issue Editors
Interests: computer vision; pattern recognition; image understanding; crowd analysis
Interests: computer vision; machine learning; data mining
Special Issue Information
Dear Colleagues,
Pixel-wise image understanding is a critical area of research in computer vision that aims to analyze images at the pixel level to infer semantic information such as object boundaries, textures, and scene understanding. This area of research has a wide range of applications, such as robotics, autonomous driving, and multimedia. With the development of computer vision and machine learning, pixel-wise image understanding attracts a great deal of attention from researchers for typical tasks such as object detection, semantic segmentation and change detection, since it provides finer information than the traditional image-/object-level analysis. Moreover, there are many other high-level tasks to be explored further, e.g., dealing with occlusions, handling complex scenes, and developing efficient models for real-time tasks. We believe that pixel-wise imagery analysis can provide elaborate analysis results and facilitate other more high-level semantic understanding tasks.
This Special Issue aims to publish high-quality and original-contribution research papers, pixel-wise labeled datasets, as well as review articles addressing emerging trends in pixel-wise image understanding using computer vision and machine learning technologies.
For this Special Issue, we welcome contributions related to, but not limited to, the following:
- Semantic segmentation/instance segmentation;
- Image super-resolution;
- Crowd counting/object density estimation;
- Image generation/translation/synthesis;
- Depth/height estimation;
- Optical/traffic/crowd flow prediction;
- Road network detection;
- Change detection;
- Pixel-wise labeled dataset;
- Other tasks on pixel-wise classification or regression.
Dr. Junyu Gao
Dr. Zhanxuan Hu
Dr. Xinxin Zuo
Guest Editors
Manuscript Submission Information
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Keywords
- semantic segmentation/instance segmentation
- image super-resolution
- crowd counting/object density estimation
- image generation/translation/synthesis
- depth/height estimation
- optical/traffic/crowd flow prediction
- road network detection
- change detection
- pixel-wise labeled dataset
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