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 ...

Hello, may I ask how to improve the YOLOv8 model based on your code? For example, I have a Python file containing a CBAM module (a built-in module in YOLO) and an MSAA module (not built into YOLO, ...

Traffic monitoring plays a vital role in smart city infrastructure, road safety, and urban planning. Traditional detection systems, including earlier deep learning models, often struggle with ...

After the object detection model is trained, I get best.onnx, best.pt, can I use the code to check the model effect in MATLAB2024b? What kind of code and way can do this?

Abstract: Object detection has emerged as one of the most important tasks in computer vision that enables machines to identify and localise objects within images or videos. Recent advances in object ...

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: Object detection in remote sensing images differs from general object detection in that it faces numerous challenges, such as false alarm interference. However, conventional object detection ...

Real-time object detection is a critical capability in computer vision, enabling systems to identify and localize objects instantly in dynamic environments. Recent advances leverage optimized ...