Abstract: Object detection in unpiloted aerial vehicle (UAV) imagery has been widely applied across various domains. However, the typically small size and uneven spatial distribution of objects in UAV ...
DEIMv2 is an evolution of the DEIM framework while leveraging the rich features from DINOv3. Our method is designed with various model sizes, from an ultra-light version up to S, M, L, and X, to be ...
Abstract: Automated object detection in aerial images is crucial in both civil and military applications. Existing computer vision-based object detection methods are not robust enough to precisely ...
This implementation is designed as a demo to test COCO trained YOLOv11 detection models. This project implements YOLOv11 object detection in C++ using OpenCV with CUDA backend. It supports real time ...