About

Benchmarks

TREND DATASET BEST METHOD PAPER TITLE PAPER CODE COMPARE

Subtasks

Datasets

Greatest papers with code

Attention-based Extraction of Structured Information from Street View Imagery

11 Apr 2017tensorflow/models

We present a neural network model - based on CNNs, RNNs and a novel attention mechanism - which achieves 84. 2% accuracy on the challenging French Street Name Signs (FSNS) dataset, significantly outperforming the previous state of the art (Smith'16), which achieved 72. 46%.

OPTICAL CHARACTER RECOGNITION

Adapting the Tesseract Open Source OCR Engine for Multilingual OCR

ACM 2009 tesseract-ocr/tesseract

We describe efforts to adapt the Tesseract open source OCR engine for multiple scripts and languages.

OPTICAL CHARACTER RECOGNITION

PP-OCR: A Practical Ultra Lightweight OCR System

21 Sep 2020PaddlePaddle/PaddleOCR

Meanwhile, several pre-trained models for the Chinese and English recognition are released, including a text detector (97K images are used), a direction classifier (600K images are used) as well as a text recognizer (17. 9M images are used).

OPTICAL CHARACTER RECOGNITION

Chinese Text in the Wild

28 Feb 2018xiaofengShi/CHINESE-OCR

[python3. 6] 运用tf实现自然场景文字检测, keras/pytorch实现ctpn+crnn+ctc实现不定长场景文字OCR识别

OPTICAL CHARACTER RECOGNITION

End-to-End Interpretation of the French Street Name Signs Dataset

13 Feb 2017xiaofengShi/CHINESE-OCR

We introduce the French Street Name Signs (FSNS) Dataset consisting of more than a million images of street name signs cropped from Google Street View images of France.

OPTICAL CHARACTER RECOGNITION

Object-Contextual Representations for Semantic Segmentation

ECCV 2020 HRNet/HRNet-Semantic-Segmentation

We empirically demonstrate that the proposed approach achieves competitive performance on various challenging semantic segmentation benchmarks: Cityscapes, ADE20K, LIP, PASCAL-Context, and COCO-Stuff.

OPTICAL CHARACTER RECOGNITION SEMANTIC SEGMENTATION

License Plate Detection and Recognition in Unconstrained Scenarios

ECCV 2018 sergiomsilva/alpr-unconstrained

Despite the large number of both commercial and academic methods for Automatic License Plate Recognition (ALPR), most existing approaches are focused on a specific license plate (LP) region (e. g. European, US, Brazilian, Taiwanese, etc.

LICENSE PLATE RECOGNITION OPTICAL CHARACTER RECOGNITION

Image-to-Markup Generation with Coarse-to-Fine Attention

ICML 2017 da03/Attention-OCR

We present a neural encoder-decoder model to convert images into presentational markup based on a scalable coarse-to-fine attention mechanism.

OPTICAL CHARACTER RECOGNITION