End to End Sign Language Translation via Multitask Learning
Author:
Affiliation:
1. Indian Institute of Technology Patna,Computer Science and Engineering,Patna,India
2. Munster Technological University,Computer Science,Cork,Ireland
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10190990/10190992/10191295.pdf?arnumber=10191295
Reference31 articles.
1. Deep Hand: How to Train a CNN on 1 Million Hand Images When Your Data is Continuous and Weakly Labelled
2. Re-Sign: Re-Aligned End-to-End Sequence Modelling with Deep Recurrent CNN-HMMs
3. Extensions of the sign language recognition and translation corpus rwth-phoenix-weather;forster;LREC,2014
4. Rwth-phoenix-weather: A large vocabulary sign language recognition and translation corpus;forster;LREC,2012
5. Unsupervised machine translation using monolingual corpora only;lample;ArXiv Preprint,2017
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