AI in Object Detection
A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Computing and Artificial Intelligence".
Deadline for manuscript submissions: 25 September 2025 | Viewed by 208
Special Issue Editors
Interests: image processing; artificial intelligence;deep learning; target detection;pattern recognition; target recognition
Special Issues, Collections and Topics in MDPI journals
Interests: wireless resource allocation and management; wireless communications and networking; dynamic game and mean field game theory; big data analysis; security
Special Issues, Collections and Topics in MDPI journals
Interests: medical image processing; deep learning
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Small object detection and tracking is currently one of the most challenging and fundamental topics in computer vision. ‘Small objects’ are typically characterized by small size, low contrast, and blurred edges, which collectively complicate the tasks of detection and tracking. In recent years, advancements in this field have facilitated the application of small-object detection and tracking in remote sensing imagery across diverse domains, including mineral exploration, precision agriculture, urban planning, forestry management, and disaster assessment. Despite these advancements, several critical challenges persist in real-world applications, particularly in the context of high-resolution remote sensing imagery. Key issues include the difficulty of extracting detailed information from small objects, the trade-off between detection accuracy and computational efficiency, the ability to identify unknown or untrained categories within remote sensing data, and the effective tracking of small objects over time. Addressing these challenges remains essential for advancing the practical utility of small-object detection and tracking systems. Therefore, we invite submissions of papers including theoretical research and those on practical applications related to transformer models and deep learning architecture for small object detection related to remote sensing images.
Dr. Fengping An
Prof. Dr. Haitao Xu
Dr. Chuyang Ye
Guest Editors
Manuscript Submission Information
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Keywords
- object detection
- object tracking
- target identification
- remote sensing
- deep learning
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