crnn
Sequence recognizer
An image-based sequence recognition system using a combination of CNN and RNN algorithms.
Convolutional Recurrent Neural Network (CRNN) for image-based sequence recognition.
2k stars
78 watching
552 forks
Language: Lua
last commit: over 5 years ago computer-visionmachine-learningocrsequence-recognitiontorch7
Related projects:
| Repository | Description | Stars |
|---|---|---|
 warrengreen/srcnn | Software for enhancing satellite images through deep learning techniques | 76 |
 nv-tlabs/gscnn | This code implements a neural network architecture designed to perform semantic segmentation in computer vision tasks. | 920 |
 guillaume-chevalier/har-stacked-residual-bidir-lstms | An implementation of a deep neural network architecture for Human Activity Recognition using stacked residual bidirectional LSTM cells with TensorFlow. | 319 |
 google/uis-rnn | This library provides an implementation of an algorithm for segmenting and clustering sequential data, learning from examples. | 1,560 |
 aaronshan/12306-captcha | Deep learning-based system to recognize and classify 12306 captcha images | 280 |
 cszn/bsrgan | A deep learning-based approach to super-resolution of degraded images. | 1,213 |
 oyxhust/cnn-lstm-ctc-text-recognition | Develops CTC-based text recognition models with neural network architectures | 259 |
 saschagrunert/nn | A small neural network implementation of the backpropagation algorithm in Haskell | 127 |
 taosir/cnn_handwritten_chinese_recognition | A Python-based web application that recognizes handwritten Chinese characters using a Convolutional Neural Network (CNN), allowing users to input text via an online writing board and receive recognition results. | 508 |
 canjie-luo/moran_v2 | A deep learning framework for scene text recognition with rectification and attention mechanisms. | 636 |
 martinkersner/train-crf-rnn | A Python-based framework for training Conditional Random Field Recurrent Neural Networks (CRF-RNN) for semantic image segmentation | 199 |
 berkeleyautomation/gqcnn | Develops and analyzes convolutional neural networks for grasp quality in robotics | 313 |
 torrvision/crfasrnn | A deep learning-based method for semantic image segmentation using conditional random fields and recurrent neural networks | 1,342 |
| cszn/srmd | Develops a single convolutional network to handle various image degradations with improved scalability and efficiency | 426 |
 bruinxiong/modified-crunet-and-residual-attention-network.mxnet | An MXNet implementation of a modified deep neural network architecture for image classification | 67 |