Many advances in medicine and drug development were possible owing to flow cytometry, a single-cell analysis technique that ...

A decade ago, scientists first detected ripples in the fabric of space-time, called gravitational waves, from the collision ...

VA continues to award contracts for pricey, "high-tech" weapons detection systems that the FTC and security specialists argue ...

Real-world datasets follow an imbalanced distribution, which poses significant challenges in rare-category object detection. Recent studies tackle this problem by developing re-weighting and ...

Small object detection is a critical task in applications like autonomous driving and ship black smoke detection. While Deformable DETR has advanced small object detection, it faces limitations due to ...

Abstract: Currently, some object detection methods combine anchor-free frameworks with single-stage approaches, allowing the model to be freed from the computational burden of using anchor boxes. This ...

Sonar image object detection plays a crucial role in obstacle detection, target recognition, and environmental perception in autonomous underwater vehicles (AUVs). However, the complex underwater ...

Abstract: In recent years, with the wide application of autonomous driving, surveillance, and robotics, the demand for accurate object detection in efficient object scenarios has surged. However, ...

In response to the challenges of small object detection in UAV aerial photography, such as complex backgrounds, tiny targets, dense targets, and edge deployment, the YOLOv11n model was improved.