With the rapid development of artificial intelligence technology, AI-driven learning methods are gradually permeating various fields, particularly evident in programming education. In recent years, ...

Abstract: Object detection is a foundation process in computer vision having widespread applications in autonomous driving, medical diagnostics and security monitoring. Recent advancements and ...

The DINOv3 codebase includes several task-specific heads for a variety of tasks, including classification, depth estimation, object detection, and semantic segmentation. The initial focus of this ...

1Sidney Kimmel Comprehensive Cancer Center, Johns Hopkins University School of Medicine, Baltimore, Maryland. 2The Ludwig Center for Cancer Genetics and Therapeutics, Baltimore, Maryland. 3The Sol ...

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 ...

Abstract: Oriented object detection in remote sensing images (RSIs) relies heavily on costly annotated data. To alleviate this challenge, we propose a straightforward yet powerful approach for ...