googleattentionocr

从这篇文章来引入今天的学习，google提出的Attention-ocr论文。 文章名称 ... 导致Attention-ocr耗时很高。耗时也主要在RNN部分。调整cnn的base网络为mobilenet耗时变化 ...

Attention-ocr-Chinese-Version. The progress was used to Chinese OCR based on Google Attention OCR. Modify Google's attention model for Chinese text recognition.

A clear and maintainable implementation of Attention OCR in Tensorflow 2.0. This sequence to sequence OCR model aims to provide a clear and maintainable ...

2021年7月11日 — Attention OCR 历史意义: 开创了基于attention机制建模OCR问题的先河。 本文主要结构如下: 一、Abstract. 介绍提出attention-based OCR模型的优势.

Using Attention to improve performance of OCR. Contribute to Ankan1998/Attention-OCR-pytorch development by creating an account on GitHub.

A Tensorflow model for text recognition (CNN + seq2seq with visual attention) available as a Python package and compatible with Google Cloud ML Engine.

2017年11月29日 — The project moved into the research subfolder of tensorflow/models . The new correct link is: ...

This folder contains the code needed to train a new Attention OCR model on the FSNS dataset to transcribe street names in France. You can also train the ...

attention-ocr. A pytorch implementation of attention based ocr. This repo is still under development. Inspired by the tensorflow attention ocr created by google ...

2020年5月27日 — Attention OCR的整体架构分为检测和识别两个独立的部分。检测部分模型使用了Cascade Mask RCNN，识别部分使用了Attention LSTM。下面我对这两个部分分别做 ...