One-shot Compositional Data Generation for Low Resource Handwritten Text Recognition-Reference-Cited by-同舟云学术

One-shot Compositional Data Generation for Low Resource Handwritten Text Recognition

Published:2022-01 Issue: Volume: Page:
ISSN:
Container-title:2022 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)
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Author:

Souibgui Mohamed Ali¹,Biten Ali Furkan¹,Dey Sounak¹,Fornes Alicia¹,Kessentini Yousri²,Gomez Lluis¹,Karatzas Dimosthenis¹,Llados Josep¹

Affiliation:

1. UAB,Computer Vision Center,Spain

2. Digital Research Center of Sfax,Tunisia

Funder

Generalitat de Catalunya

Publisher

IEEE

Link

Reference23 articles.

1. Generating sequences with recurrent neural networks;graves,2013

3. Neural style transfer: A review;jing;IEEE Transactions on Visualization and Computer Graphics,2019

4. Convolve, attend and spell: An attention-based sequence-to-sequence model for handwritten word recognition;kang;GCPR,2018

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