Phrase Extraction and Grounding (PEG)

Phrase Extraction and Grounding (PEG) is a task that combines natural language processing with computer vision, aiming to extract phrases from text and simultaneously locate the corresponding objects in images. This task enhances the model's accuracy and granularity in scene understanding through multimodal information fusion, and it has significant application value in areas such as image captioning, visual question answering, and content retrieval.