Abstract: Uncrewed Aerial Vehicle (UAV)-based small object detection is crucial for traffic monitoring, precision agriculture, and power system inspection. However, UAV images face challenges ...

OV-DEIM is a real-time DETR-style framework for open-vocabulary object detection. It extends DEIMv2 to the open-vocabulary setting and achieves state-of-the-art performance on open-vocabulary ...

Researchers from Shibaura Institute of Technology, Japan, developed a newly trained You Only Look Once (YOLO) model using transfer learning that can detect small moving objects with improved accuracy ...

Abstract: To address the issue of poor accuracy in 3D object detection with single-modal detection systems, this paper proposes a 3D object detection algorithm based on radar and image fusion. The ...

The Precedence Diagram Method (PDM) is widely used for modeling large and complex construction projects characterized by non-linear execution logic, overlapping activities, and multiple precedence ...

Timely and accurate detection of foreign objects is crucial for the safe operation of transmission lines in power grid. Currently, object detection models have more and more parameters and their ...

Test and compare multiple YOLO versions (YOLO8, YOLO9, YOLO10, YOLO11, YOLO12, YOLO26) with support for critical object marking, multi-GPU acceleration, and batch processing across diverse hardware ...