Scene Text Understanding

Scene text understanding (STU) focuses on enabling computers to accurately interpret and reason about text within images and videos, going beyond simple text recognition. Current research emphasizes improving the integration of visual and textual information, often using transformer-based architectures and incorporating question-aware mechanisms to better align visual features with specific queries. This field is crucial for advancements in various applications, including visual question answering, image captioning, and multilingual information extraction, driving progress in both computer vision and natural language processing. A key challenge remains handling out-of-vocabulary words and contextual text blocks for more robust and complete scene understanding.