Multiple Affordance Detection

Multiple Affordance Detection is a task in the field of computer vision that aims to identify multiple objects in an environment that can be used or grasped by humans. This task utilizes deep learning and 3D geometric techniques to quickly and efficiently detect various functional attributes of objects, providing critical support for applications such as robot interaction, intelligent assistance systems, and virtual reality.