Graph Neural Networks in Vision-Language Image Understanding: A Survey

arXiv:2303.03761v2 Announce Type: replace-cross
Abstract: 2D image understanding is a complex problem within computer vision, but it holds the key to providing human-level scene comprehension. It goes further than identifying the objects in an image, and instead, it attempts to understand the scene. Solutions to this problem form the underpinning of a range of tasks, including image captioning, visual question answering (VQA), and image retrieval. Graphs provide a natural way to represent the relational arrangement between objects in an image, …

2d image abstract arxiv computer computer vision cs.cv cs.lg form graph graph neural networks human image key language networks neural networks objects solutions survey the key type understanding vision