Advances in Image Classification: Algorithms and Applications
A special issue of Journal of Imaging (ISSN 2313-433X). This special issue belongs to the section "Computer Vision and Pattern Recognition".
Deadline for manuscript submissions: 31 October 2026 | Viewed by 161
Special Issue Editors
Interests: foundation models; image classification; computer vision; medical image analysis; machine learning
Special Issue Information
Dear Colleagues,
Image classification remains a cornerstone of computer vision and artificial intelligence, underpinning a wide range of real-world applications from autonomous systems and intelligent manufacturing to medical diagnosis and remote sensing. With the rapid evolution of deep learning, foundation models, and multimodal learning, the field has entered a new era characterized by large-scale data utilization, cross-domain generalization, and increasingly sophisticated model architectures. At the same time, emerging challenges—such as long-tailed distributions, limited annotations, domain shifts, interpretability, efficiency constraints, and ethical considerations—demand innovative algorithmic and application-driven solutions.
This Special Issue aims to highlight recent advances in image classification from both methodological and applied perspectives. We welcome original research contributions that propose novel learning paradigms, including, but not limited to, self-supervised and semi-supervised learning, few-shot and zero-shot learning, domain adaptation and generalization, long-tailed recognition, multimodal fusion, and foundation model adaptation. Research addressing robustness, fairness, transparency, and energy-efficient training and inference is also highly encouraged.
In addition to algorithmic innovations, we seek application-oriented studies demonstrating impactful deployments across diverse domains such as healthcare, autonomous driving, agriculture, environmental monitoring, security, and industrial inspection. Benchmarking studies, comprehensive surveys, and reproducible frameworks that advance the understanding and evaluation of image classification systems are equally welcome.
By bringing together cutting-edge research and practical insights, this Special Issue aims to foster interdisciplinary collaboration and to advance the theoretical foundations and real-world impact of next-generation image classification technologies.
Dr. Chong Wang
Dr. Fengbei Liu
Guest Editors
Manuscript Submission Information
Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 250 words) can be sent to the Editorial Office for assessment.
Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Journal of Imaging is an international peer-reviewed open access monthly journal published by MDPI.
Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 1800 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.
Keywords
- image classification
- image recognition
- real-world applications
- deep learning
- foundation models
- multimodal learning
Benefits of Publishing in a Special Issue
- Ease of navigation: Grouping papers by topic helps scholars navigate broad scope journals more efficiently.
- Greater discoverability: Special Issues support the reach and impact of scientific research. Articles in Special Issues are more discoverable and cited more frequently.
- Expansion of research network: Special Issues facilitate connections among authors, fostering scientific collaborations.
- External promotion: Articles in Special Issues are often promoted through the journal's social media, increasing their visibility.
- Reprint: MDPI Books provides the opportunity to republish successful Special Issues in book format, both online and in print.
Further information on MDPI's Special Issue policies can be found here.
