Text localization across multiple domains is crucial for applications like autonomous driving
and tracking marathon runners. This work introduces DIPCYT, a novel model that utilizes …

Text Detection in shaky and non-shaky videos is challenging due to poor video quality and
the presence of static and dynamic obstacles. Video captured by a shaky camera due to …

场景文本检测旨在从自然场景中准确检测出存在的文本. 目前基于分割的场景文本检测技术面临
文字种类多样, 背景复杂, 形状不规则等挑战, 但是缺少相应的综合技术, 因此 …

Handwritten documents possess immense significance in domains such as law, history, and
administration. However, they are vulnerable to forgery, which can undermine their …

Text detection in shaky and non-shaky videos is challenging because of variations caused
by day and night videos. In addition, moving objects, vehicles, and humans in the video …

Text spotting, the task of detecting and recognizing text within images, is vital in applications
like document analysis, autonomous navigation, and surveillance. The motivation for this …

Because of the ambiguity and dynamic nature of natural language, the research of named
entity recognition is very challenging. As an international language, English plays an …