Towards Zero-Shot Sign Language Recognition
Author:
Affiliation:
1. Graduate School of Science and Engineering, Hacettepe University, Ankara, Turkey
2. Department of Computer Engineering, Middle East Technical University, Ankara, Turkey
3. Computer Engineering Department, Hacettepe University, Ankara, Turkey
Funder
Türkiye Bilimsel ve Teknolojik Araştırma Kurumu
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Applied Mathematics,Artificial Intelligence,Computational Theory and Mathematics,Computer Vision and Pattern Recognition,Software
Link
http://xplorestaging.ieee.org/ielx7/34/9970415/09681230.pdf?arnumber=9681230
Reference105 articles.
1. Watch, read and lookup: Learning to spot signs from multiple supervisors;momeni;Proc Asian Conf Comput Vis,2020
2. BSL-1K: Scaling Up Co-articulated Sign Language Recognition Using Mouthing Cues
3. Large-scale learning of sign language by watching TV (using co-occurrences);pfister;Proc Brit Mach Vis Conf,2013
4. Weakly Supervised Training of a Sign Language Recognition System Using Multiple Instance Learning Density Matrices
5. Learning sign language by watching TV (using weakly aligned subtitles)
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