What are Convolutional Recurrent Neural Networks? The full name of CRNN is Convolutional Recurrent Neural Network, which is a neural network architecture that combines the advantages of convolutional neural networks (CNN) and recurrent neural networks (RNN).
May 3, 2023
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CRNN + CTC. 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 ...
Jul 21, 2015 · In this paper, we investigate the problem of scene text recognition, which is among the most important and challenging tasks in image-based ...
Nov 27, 2019 · The CRNN (convolutional recurrent neural network) involves CNN(convolutional neural network) followed by the RNN(Recurrent neural networks). The ...
This gene encodes a member of the "fused gene" family of proteins, which contain N-terminus EF-hand domains and multiple tandem peptide repeats.
This software implements the Convolutional Recurrent Neural Network (CRNN), a combination of CNN, RNN and CTC loss for image-based sequence recognition ...
... The first model described is a convolutional model with a recursive model called the CRNN [21] model. It works by extracting graphical information from the ...
A TensorFlow implementation of the Convolutional Recurrent Neural Network (CRNN) for image-based sequence recognition tasks, such as scene text recognition ...
This paper proposes a novel framework for detecting redundancy in supervised sentence categorisation. Unlike traditional singleton neural network, ...