Scene Text Recognition

93 papers with code • 11 benchmarks • 19 datasets

See Scene Text Detection for leaderboards in this task.


Use these libraries to find Scene Text Recognition models and implementations
13 papers
3 papers
3 papers
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Most implemented papers

SSD: Single Shot MultiBox Detector

weiliu89/caffe 8 Dec 2015

Experimental results on the PASCAL VOC, MS COCO, and ILSVRC datasets confirm that SSD has comparable accuracy to methods that utilize an additional object proposal step and is much faster, while providing a unified framework for both training and inference.

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

sartaj0/TextRecognition-Pytorch 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.

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.

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.

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.

Primitive Representation Learning for Scene Text Recognition

RuijieJ/pren CVPR 2021

In this paper, we propose a primitive representation learning method that aims to exploit intrinsic representations of scene text images.