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: YOLOv10, known for its efficiency in object detection methods, quickly and accurately detects objects in images. However, when detecting small objects in remote sensing imagery, traditional ...

Abstract: Rotated object detection in aerial images presents unique challenges due to the variability in object orientation and aspect ratios. In object detection, the common practice is to use boxes ...