Class-agnostic Object Detection

Class-agnostic Object Detection is a task in the field of computer vision that aims to locate objects in images without specifying their categories. This technique enhances generality and flexibility by detecting all potential object bounding boxes in an image, and it is widely applied in scene understanding, image segmentation, and automated monitoring, among other scenarios, making it highly valuable.