Referring Expression Generation

Referring expression generation is a crucial subtask in the field of computer vision, aimed at generating natural language expressions that can uniquely identify specific objects within an image. The goal of this task is to produce accurate and distinctive descriptions by integrating visual information and linguistic knowledge, thereby facilitating object reference in human-computer interaction. Its application value is extensive, encompassing scenarios such as augmented reality, image annotation, and robot navigation, effectively enhancing the interactivity and user experience of systems.