Scene Text Detection

Scene text detection aims to automatically locate and identify text within natural images, a crucial task for applications like autonomous driving and document analysis. Current research emphasizes improving accuracy and efficiency, particularly for arbitrarily shaped and low-light text, using models based on transformers, segmentation, and contour detection, often incorporating pre-training strategies and novel loss functions. These advancements are driving progress in both the accuracy and speed of text detection, impacting various fields requiring robust text extraction from complex visual scenes. Furthermore, research is expanding to address multilingual text detection and the detection of tampered or manipulated text.