This is a Pytorch implementation of a Deep Neural Network for scene text recognition. It is based on the paper "An End-to-End Trainable Neural Network for Image-based Sequence …

2017年3月14日 · This software implements the Convolutional Recurrent Neural Network (CRNN), a combination of CNN, RNN and CTC loss for image-based sequence recognition tasks, such …

2015年7月21日 · Image-based sequence recognition has been a long-standing research topic in computer vision. In this paper, we investigate the problem of scene text recognition, which is …

This software implements the Convolutional Recurrent Neural Network (CRNN) in pytorch. Origin software could be found in crnn. A demo program can be found in demo.py. Before running …

CRNN 全称为 Convolutional Recurrent Neural Network，主要用于端到端地对不定长的文本序列进行识别，不用先对单个文字进行切割，而是将文本识别转化为时序依赖的序列学习问题，就是 …

2019年5月29日 · In this blog, we will create our model architecture and train it with the preprocessed data. You can find full code here. Our model consists of three parts: CTC loss …

2019年11月27日 · The CRNN (convolutional recurrent neural network) involves CNN (convolutional neural network) followed by the RNN (Recurrent neural networks). The …

In this work, we introduce the CRNN (Convolutional Recurrent Neural Network) model that feeds every window frame by frame into a recurrent layer and use the outputs and hidden states of …

2021年1月4日 · 本文详细介绍了CRNN（卷积循环神经网络）在OCR（光学字符识别）中的应用，包括CRNN的网络结构，如CNN、Map-to-Sequence、RNN（特别是双向LSTM）和CTC …

The network architecture of CRNN, as shown in Fig.1, consists of three components, including the convolutional layers, the recurrent layers, and a transcription layer, from bottom to top. At the …