Spatial Relation Recognition

Spatial Relation Recognition is an important sub-task in the field of computer vision, aiming to identify and understand the relative relationships between objects by analyzing their spatial information such as position, orientation, and distance in images or videos. The goal of this technology is to enable machines to perceive and interpret the spatial structure in scenes in a manner similar to humans, thereby enhancing the system's ability to understand complex environments. Its application value is extensive, including but not limited to autonomous driving, robot navigation, augmented reality, and intelligent surveillance, which can significantly improve the intelligence level and interactive experience of systems.