https://arxiv.org/abs/2103.06495 Read Like Humans: Autonomous, Bidirectional and Iterative Language Modeling for Scene Text Recognition Linguistic knowledge is of great benefit to scene text recognition. However, how to effectively model linguistic rules in end-to-end deep networks remains a research challenge. In this paper, we argue that the limited capacity of language models comes from arxiv..
Paper Reading/Scene Text Recognition(OCR)
논문 논문을 깊게 읽고 만든 자료가 아니므로, 참고만 해주세요. 얕은 지식으로 모델의 핵심 위주로만 파악한 자료이다 보니 없는 내용도 많습니다. 혹시 사용하실 경우 댓글 부탁드립니다. - 참고 블로그 RNN, OCR , Scene Text 2021.03.11 Read Like Humans: Autonomous, Bidirectional and Iterative Language Modeling for ... blog.naver.com
논문 논문을 깊게 읽고 만든 자료가 아니므로, 참고만 해주세요. 얕은 지식으로 모델의 핵심 위주로만 파악한 자료이다 보니 없는 내용도 많습니다. 혹시 사용하실 경우 댓글 부탁드립니다. 참고 자료 : https://jhtechblog.tistory.com/m/11
논문 PAN++: Towards Efficient and Accurate End-to-End Spotting of Arbitrarily-Shaped Text Scene text detection and recognition have been well explored in the past few years. Despite the progress, efficient and accurate end-to-end spotting of arbitrarily-shaped text remains challenging. In this work, we propose an end-to-end text spotting framew arxiv.org 논문을 깊게 읽고 만든 자료가 아니므로, 참고만 해주세요. 얕은 지식으로 모델..
논문 Efficient and Accurate Arbitrary-Shaped Text Detection with Pixel Aggregation Network Scene text detection, an important step of scene text reading systems, has witnessed rapid development with convolutional neural networks. Nonetheless, two main challenges still exist and hamper its deployment to real-world applications. The first problem arxiv.org 논문을 깊게 읽고 만든 자료가 아니므로, 참고만 해주세요. 얕은 지식으로 모델..
논문 Shape Robust Text Detection with Progressive Scale Expansion Network Scene text detection has witnessed rapid progress especially with the recent development of convolutional neural networks. However, there still exists two challenges which prevent the algorithm into industry applications. On the one hand, most of the state arxiv.org 논문을 깊게 읽고 만든 자료가 아니므로, 참고만 해주세요. 얕은 지식으로 모델의 핵심 위주로만 파악한 자료..
PAPER On Recognizing Texts of Arbitrary Shapes with 2D Self-Attention Scene text recognition (STR) is the task of recognizing character sequences in natural scenes. While there have been great advances in STR methods, current methods still fail to recognize texts in arbitrary shapes, such as heavily curved or rotated texts, arxiv.org GITHUB GitHub - clovaai/SATRN: Official Tensorflow Implementat..
PAPER What Is Wrong With Scene Text Recognition Model Comparisons? Dataset and Model Analysis Many new proposals for scene text recognition (STR) models have been introduced in recent years. While each claim to have pushed the boundary of the technology, a holistic and fair comparison has been largely missing in the field due to the inconsistent ch arxiv.org BLOG What Is Wrong With Scene Text Re..
