Two-stream lightweight sign language transformer

Despite the recent progress of continuous sign language translation-based video, a variety of deep learning models are difficult to apply to the real-time translation in the limit computing resource. We present the two-stream lightweight sign transformer network model for recognizing and translating...

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Veröffentlicht in:	Machine vision and applications Jg. 33; H. 5
Hauptverfasser:	Chen, Yuming, Mei, Xue, Qin, Xuan
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Berlin/Heidelberg Springer Berlin Heidelberg 01.09.2022 Springer Nature B.V
Schlagworte:	Artificial intelligence Chinese languages Communications Engineering Computer Science Computer vision Computerized corpora Conferences Corpus linguistics Deep learning Experiments Image Processing and Computer Vision Inference Language translation Lightweight Machine learning Networks Original Paper Pattern Recognition Real time Semantics Sentences Sign language Spatial data Transformers Translating Translation Vision systems Weather Sign language translation Transformer Multimodal fusion Lightweight networks
ISSN:	0932-8092, 1432-1769
Online-Zugang:	Volltext
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