… Inspired by the impressive performance of the visual language modeling pre-training … ,
focus on learning both scene-text recognition and the role of scene-text in its visual context. The …

… poral Classification have also been widely used in scene text recognition, in works such as
[47, … Question Answering (VQA) aims to come up with an answer to a given natural language …

… text recognition in natural scenes (aka scene text recognition) … characteristics of the
corresponding languages. For example, … could learn a hybrid set of strokelets on multiple …

… a sequence of visual tokens to represent scene text images, … the entire text image and
achieve accurate text recognition. … and iterative language modeling for scene text recognition. …

… for Scene Text Recognition (STR) task. Considering scene text images carry both visual and
… from translation by recognizing foreign languages to street sign recognition for autonomous. …

… a vision-language communication module designed to enhance explicit synergy, which
utilizes a novel collaborative cross-modal interaction between text detection and recognition. …

… In addition, transformer has been proved to be effective in many tasks of computer vision [11,
36] and natural language processing [34]. In this paper, we not only adopt transformer to …

… ] as a knowledge-aware language model and apply them to extract … vision-language tasks,
they require the annotation of image-… Scene text retrieval via joint text detection and similarity …

… demonstrate that VST can achieve higher or competitive prediction accuracy in scene
text recognition without the aid of explicit language models. 2 Visual-Semantic Transformer …

… of different algorithms in learning language prior. Meanwhile, … for developing scene text
recognition algorithms in the future. … Segmentation-based methods can accurately extract visual …