Scene Text Recognition

72 papers with code • 8 benchmarks • 16 datasets

See Scene Text Detection for leaderboards in this task.

Libraries

Use these libraries to find Scene Text Recognition models and implementations
8 papers
21,968
3 papers
1,020
2 papers
2,445
See all 5 libraries.

Most implemented papers

An End-to-End Trainable Neural Network for Image-based Sequence Recognition and Its Application to Scene Text Recognition

PaddlePaddle/PaddleOCR 21 Jul 2015

In this paper, we investigate the problem of scene text recognition, which is among the most important and challenging tasks in image-based sequence recognition.

What Is Wrong With Scene Text Recognition Model Comparisons? Dataset and Model Analysis

clovaai/deep-text-recognition-benchmark ICCV 2019

Many new proposals for scene text recognition (STR) models have been introduced in recent years.

FOTS: Fast Oriented Text Spotting with a Unified Network

jiangxiluning/FOTS.PyTorch CVPR 2018

Incidental scene text spotting is considered one of the most difficult and valuable challenges in the document analysis community.

Show, Attend and Read: A Simple and Strong Baseline for Irregular Text Recognition

PaddlePaddle/PaddleOCR 2 Nov 2018

Recognizing irregular text in natural scene images is challenging due to the large variance in text appearance, such as curvature, orientation and distortion.

A Multi-Object Rectified Attention Network for Scene Text Recognition

Canjie-Luo/MORAN_v2 10 Jan 2019

It decreases the difficulty of recognition and enables the attention-based sequence recognition network to more easily read irregular text.

Robust Scene Text Recognition with Automatic Rectification

PaddlePaddle/PaddleOCR CVPR 2016

We show that the model is able to recognize several types of irregular text, including perspective text and curved text.

MASTER: Multi-Aspect Non-local Network for Scene Text Recognition

wenwenyu/MASTER-pytorch 7 Oct 2019

Attention-based scene text recognizers have gained huge success, which leverages a more compact intermediate representation to learn 1d- or 2d- attention by a RNN-based encoder-decoder architecture.

Decoupled Attention Network for Text Recognition

Canjie-Luo/Scene-Text-Image-Transformer 21 Dec 2019

To remedy this issue, we propose a decoupled attention network (DAN), which decouples the alignment operation from using historical decoding results.

STN-OCR: A single Neural Network for Text Detection and Text Recognition

Bartzi/stn-ocr 27 Jul 2017

In contrast to most existing works that consist of multiple deep neural networks and several pre-processing steps we propose to use a single deep neural network that learns to detect and recognize text from natural images in a semi-supervised way.

TextBoxes++: A Single-Shot Oriented Scene Text Detector

MhLiao/TextBoxes_plusplus 9 Jan 2018

In this paper, we present an end-to-end trainable fast scene text detector, named TextBoxes++, which detects arbitrary-oriented scene text with both high accuracy and efficiency in a single network forward pass.