… shape scene text. To address this issue, we make the first attempt to perform textual reasoning
based on visual semantics in this paper. Technically, given the character segmentation …

… semantic reasoning network (SRN) for accurate scene text recognition, where a global
semantic reasoning module (GSRM) is introduced to capture global semantic context through …

… semantic and visual information jointly with a Visual-… visual-semantic transformer to solve
scene text recognition problem. The VST consists of three model explicitly extract semantic …

… In this work, we propose a semantics enhanced encoder-decoder framework to robustly …
We propose SEED for scene text recognition, which predicts additional global semantic …

… scene text and visual channels for robust semantic interpretation of images. We not only extract
and encode visual and scene text … irrelevant or erroneous scene text recognition, we also …

… In this section, we will present our hierarchical visual-semantic interaction (HVSI) method
for scene text recognition. The overview of HVSI is illustrated in Fig. 2, which consists of three …

… of image usually lacks global semantic concepts as in its corresponding text caption. To …
to generate visual representation that captures key objects and semantic concepts of a scene. …

… great benefits to scene text recognition by providing semantics to refine character sequences.
… not fully utilized the semantics to understand visual clues for text recognition. This paper …

… , we argue that semantic information offers a complementary role in addition to visual only. …
Synthetic data and artificial neural networks for natural scene text recognition. arXiv preprint …

… Single Visual model for Scene Text recognition within … Scene text recognition aims to
transcript a text in natural image to digital character sequence, which conveys high-level semantics …