Although some cutting-edge object detection algorithms in remote sensing images perform well in terms of accuracy, their inference speed is slow and requires high hardware requirements that are not ...

In foggy driving environments, the precision of object detection by autonomous driving systems is significantly diminished compared to clear weather conditions. To date, there is an abundance of work ...

The Litter Coach is an intelligent system developed to combat littering through real-time object detection. Utilizing the advanced YOLOv8 model, it accurately identifies and labels discarded waste ...

YOLOv13 seamlessly combines hypergraph computation with end-to-end information collaboration to deliver a more accurate, robust, and efficient real-time detection solution.