Title: "Object Detection in Aerial Images Using the Oriented RepPoints Method."
Student researcher: Nguyen Xuan Quang – Majoring in Software Engineering 2022.3 – Primary Author
Supervisors:
Assoc. Prof. Dr. Nguyen Tan Tran Minh Khang
MSc. Ta Viet Phuong
Abstract:
Object detection in aerial images has recently attracted significant attention, playing a crucial role in identifying objects at a distance from an aerial perspective. Unlike images collected at ground level, objects in aerial images are often not aligned along axes and can have arbitrary orientations. In this paper, we have researched and evaluated the Oriented RepPoints method. This method leverages the representation of adaptive points to capture important geometric features of arbitrarily oriented objects distributed with high density in complex contexts. Extended experiments were conducted on the SODA-A dataset, providing additional useful information for further research.
"We sincerely express our gratitude to the Faculty of Software Engineering, Multimedia University, and the UIT-Together research group for creating conditions that allowed us to research and complete this paper."
In order to contribute to the promotion of basic and applied research in Information Technology in Vietnam, the Vietnam Union of Science and Technology Associations, the Vietnam Academy of Science and Technology, in collaboration with the University of Technical Education - University of Danang, and various scientific institutions and researchers from research institutes and universities, organize the 16th National Conference on "Fundamental and Applied Information Technology" (FAIR'2023). The main theme of the conference is "Data Science in Digital Transformation."
The conference takes place at the University of Technical Education - University of Danang over two days: Thursday and Friday, September 28-29, 2023.
For more detailed information: https://www.facebook.com/UIT.Fanpage/posts/pfbid0cT2P45YT4n2BwwiuVTz3yHCFLy3kLSLuXP4MQ1kqTHguXw6634hKRsHV5qkmgQqKl
Written by: Hai Bang
Translated by: Ngoc Diem