Scene Graph Annotation

Scene graph annotation focuses on representing images as structured graphs, detailing objects, their attributes, and relationships, to improve machine understanding of visual scenes. Current research emphasizes developing more accurate and consistent methods for creating these annotations, often leveraging large multimodal models and exploring techniques like chain-of-thought prompting to improve efficiency and reduce the need for extensive manual labeling. This work is crucial for advancing various vision-language tasks, including image captioning, retrieval, and robotic perception, by providing richer semantic representations than traditional bounding boxes. Improved annotation methods ultimately lead to more robust and accurate computer vision systems.