Researchers at Osaka Metropolitan University have developed SORA-DET, a lightweight and high-performance deep learning model for UAV-based remote ...

Our study found that people are now able to distinguish between AI-generated and human-authored content only 51% of the time.

Abstract: In the past decade, object detection technology has developed rapidly. However, in the field of unmanned aerial vehicle (UAV) image object detection, challenges such as complex environments, ...

Abstract: Traditional object detection models often lose the detailed outline information of the object. To address this problem, we propose the Fourier Series Object Detection (FSD). It encodes the ...

propose an instance-level alignment module (PDFA) to dynamically adjust the focus of model based on the prediction-discrepancy feedback; develop an image-level alignment module (UFOA) to adaptively ...

conda create -n YOLO python=3.9 conda activate YOLO pip install thop pip install tqdm pip install PyYAML pip install opencv-python conda install pytorch torchvision torchaudio cudatoolkit=10.2 -c ...

Scientists at Tarim University of China have proposed a way to address the challenging problem of pose recognition for photovoltaic panel cleaning robots. Their novel solution is based on a low power ...