Arbitrary shape text detection is a challenging task due to the high variety and complexity of
scenes texts. In this paper, we propose a novel unified relational reasoning graph network …

The pursuit of high performance on public benchmarks has been the driving force for
research in scene text recognition, and notable progresses have been achieved. However, a …

Perceiving text is crucial to understand semantics of outdoor scenes and hence is a critical
requirement to build intelligent systems for driver assistance and self-driving. Most of the …

Direct regression and anchor are the two mainly effective and prevailing mechanisms in the
paradigm of scene text detection. However, the use of direct regression-based methods may …

Detecting text located on the torsos of marathon runners and sports players in video is a
challenging issue due to poor quality and adverse effects caused by flexible/colorful …

Accurately detecting scene text is a challenging task due to perspective distortion, scale
variance, varied orientations, uneven illumination. Among them, scale variance has always …

Text recognition in natural scene images has always been a hot topic in the field of
document-image related visual sensors. The previous literature mostly solved the problem of …

Multi-view scene analysis has been widely explored in computer vision, including numerous
practical applications. The texts in multi-view scenes are often detected by following the …

Right from the very beginning, the text has vital importance in human life. As compared to
the vision-based applications, preference is always given to the precise and productive …

Text recognition from natural scene images is an active research area because of its
important real world applications, including multimedia search and retrieval, and scene …