… regular text, which are desirable inputs for the SRN. The contributions of this paper are
three-fold: First, we propose a novel scene text recognition method that is robust to irregular text. …

… interest from the computer vision and document analysis com… vision enabled the creation of
even better scene text … given language. Goodfellow et al. (Goodfellow et al. 2014) propose a …

… to most deep learning based text recognition models. 2. We design a novel scene text
recognition algorithm that learns a descriptive and robust text representation (image feature) …

… : A new scene text recognizer with visual language modeling … and accurate scene text
recognition,” in Proc. Int. Joint Conf. … for scene text recognition with pre-trained vision-language …

… While for word recognition, we combine the detection scores and language model into the
posterior probability of character sequence from the Bayesian decision view. The final word …

… [12] proposes a fully CNN-based network to extract visual and language features separately.
[36, 54, 55] … Scene text recognition using higher order language priors. In BMVC. BMVA. …

… -the-art scene text recognition methods in Table … language modeling for scene text recognition.
In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition…

… In the other case, when we have to recognize languages other than English, there are not
al… appropriate synthetic data for them is difficult for those who do not know target languages. …

… of scene text detection, text recognition, and script identification … these schemes will perform
in other languages or in a multi-… Text in the Wild [181]: It consists of around 32,000 street view …

… Scene text recognition (STR) involves the task of reading text in cropped images of natural
… which appears to be prominent in scene text images. Many researchers utilized transformer …