Paper: "Transformer-based End-to-End Object Detection in Aerial Images"
Paper link: Transformer-based End-to-End Object Detection in Aerial Images
Students involved:
Le Duy Nguyen – KTPM2022.2 – Co-author
Le Huu Do - KTPM2022.1 – Co-author
Ngo Huong Giang – KTPM2022.1 – Co-author
Doan Danh Du - KTPM2022.1 – Co-author
Supervisors:
Dr. Nguyen Tan Tran Minh Khang
M.S. Vo Duy Nguyen
Summary of the paper:Transformer models have achieved significant milestones in the field of Artificial Intelligence in recent years,primarily focusing on text processing and natural language processing. However, the application of these models in the domain of image processing, particularly on aerial images data, is actively research. This study concentrates on the experimental evaluation of Transformer-based models such as DETR, DAB-DETR, and DINO on the challenging Visdrone dataset, which is also essential for aerial image data processing. The experimental results indicate that Transformer-based models exhibit substantial potential, especially in object detection on aerial image data. Nevertheless, their application is not without challenges, including low resolution, dense object occurrences, and environmental noise. This work provides an initial glimpse into both the capabilities and limitations of Transformer-based approaches within this domain, with the aim of stimulating further development and optimization for practical applications, including traffic monitoring, environmental protection, and various other domain
"We sincerely thank the Faculty of Software Engineering, Multimedia Communications Laboratory, and the UIT-Together research group for creating conditions that helped us research and complete this paper."
IJACSA (International Journal of Advanced Computer Science and Applications) is a reputable computer science journal representing leading research. The research, evaluations, and surveys published by IJACSA make significant contributions to the computer science industry and stimulate the interest of a large readership. The scope of the journal includes all major areas of computer science and related applications. The journal is indexed by Scopus, Scimagojr (Q3), and Web of Science (ESCI).
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Hai Bang - Media Collaborator, University of Information Technology
Nhat Hien - Translation Collaborator, University of Information Technology
