Multiscale temporal network for continuous sign language recognition
Author:
Affiliation:
1. Harbin Engineering University, College of Intelligent Systems Science and Engineering, Harbin, China
2. Northwest Institute of Mechanical and Electrical Engineering, Xianyang, China
Publisher
SPIE-Intl Soc Optical Eng
Reference40 articles.
1. A Deep Neural Framework for Continuous Sign Language Recognition by Iterative Training
2. Continuous sign language recognition with correlation network;Hu,2023
3. Multi-scale local-temporal similarity fusion for continuous sign language recognition
4. SignBERT+: Hand-Model-Aware Self-Supervised Pre-Training for Sign Language Understanding
5. Self-Emphasizing Network for Continuous Sign Language Recognition
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1. Deep Learning for Sign Language Recognition Utilizing VGG16 and ResNet50 Models;2024 2nd International Conference on Sustainable Computing and Smart Systems (ICSCSS);2024-07-10
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