Scene Text

Scene text research focuses on automatically detecting, recognizing, and manipulating text within images, aiming to bridge the gap between visual and textual information. Current research emphasizes improving the accuracy and efficiency of these tasks, particularly for challenging scenarios like irregular text shapes, low-light conditions, and multiple languages, often employing transformer-based architectures and leveraging pre-trained language models for enhanced performance. This field is crucial for applications ranging from autonomous driving and accessibility tools to document processing and image editing, driving advancements in both computer vision and natural language processing.