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Greatest papers with code

Unsupervised learning with sparse space-and-time autoencoders

26 Nov 2018facebookresearch/SparseConvNet

We use spatially-sparse two, three and four dimensional convolutional autoencoder networks to model sparse structures in 2D space, 3D space, and 3+1=4 dimensional space-time.

HANDWRITING RECOGNITION MOTION CAPTURE

Spatially-sparse convolutional neural networks

22 Sep 2014facebookresearch/SparseConvNet

Convolutional neural networks (CNNs) perform well on problems such as handwriting recognition and image classification.

HANDWRITING RECOGNITION IMAGE CLASSIFICATION

Fine-tuning Handwriting Recognition systems with Temporal Dropout

31 Jan 20210x454447415244/HandwritingRecognitionSystem

This paper introduces a novel method to fine-tune handwriting recognition systems based on Recurrent Neural Networks (RNN).

HANDWRITING RECOGNITION

Handwriting Recognition of Historical Documents with few labeled data

10 Nov 20180x454447415244/HandwritingRecognitionSystem

In this work, we demonstrate how to train an HTR system with few labeled data.

HANDWRITING RECOGNITION

Speech Recognition with Deep Recurrent Neural Networks

22 Mar 2013HawkAaron/warp-transducer

Recurrent neural networks (RNNs) are a powerful model for sequential data.

HANDWRITING RECOGNITION SPEECH RECOGNITION

Multi-Dimensional Recurrent Neural Networks

14 May 2007philipperemy/tensorflow-multi-dimensional-lstm

Recurrent neural networks (RNNs) have proved effective at one dimensional sequence learning tasks, such as speech and online handwriting recognition.

HANDWRITING RECOGNITION SEMANTIC SEGMENTATION

ScrabbleGAN: Semi-Supervised Varying Length Handwritten Text Generation

CVPR 2020 amzn/convolutional-handwriting-gan

This is especially true for handwritten text recognition (HTR), where each author has a unique style, unlike printed text, where the variation is smaller by design.

DOMAIN ADAPTATION HANDWRITING RECOGNITION TEXT GENERATION

Accurate, Data-Efficient, Unconstrained Text Recognition with Convolutional Neural Networks

31 Dec 2018IntuitionMachines/OrigamiNet

Unconstrained text recognition is an important computer vision task, featuring a wide variety of different sub-tasks, each with its own set of challenges.

HANDWRITING RECOGNITION LICENSE PLATE RECOGNITION SCENE TEXT SCENE TEXT RECOGNITION

LSTM: A Search Space Odyssey

13 Mar 2015flukeskywalker/highway-networks

Several variants of the Long Short-Term Memory (LSTM) architecture for recurrent neural networks have been proposed since its inception in 1995.

HANDWRITING RECOGNITION MUSIC MODELING SPEECH RECOGNITION