Year: 2026
Type: article
Abstract: This paper proposes a hybrid object detection method for UAV imagery by combining YOLO (CNN-based) and RT-DETR (transformer-based) models. The framework integrates a bounding box processing module with fusion strategies and a confidence-based selection mechanism. Experimental results show that the hybrid approach improves detection accuracy, achieving a 0.7 increase in mAP50.
Author: Nguyen, Van Bach
Language: English
Subfield: Computer Vision and Pattern Recognition
Field: Computer Science
Domain: Physical Sciences
Open Access status: green
OpenAlex ID: W7163472050