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Datasets

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

Handwriting Recognition of Historical Documents with few labeled data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

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

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

Start, Follow, Read: End-to-End Full-Page Handwriting Recognition

ECCV 2018 cwig/start_follow_read

Despite decades of research, offline handwriting recognition (HWR) of degraded historical documents remains a challenging problem, which if solved could greatly improve the searchability of online cultural heritage archives.

HANDWRITING RECOGNITION REGION PROPOSAL