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...

Celý popis

Uloženo v:

Podrobná bibliografie
Vydáno v:	Machine vision and applications Ročník 33; číslo 5
Hlavní autoři:	Chen, Yuming, Mei, Xue, Qin, Xuan
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Berlin/Heidelberg Springer Berlin Heidelberg 01.09.2022 Springer Nature B.V
Témata:	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
On-line přístup:	Získat plný text
Tagy:	Přidat tag Žádné tagy, Buďte první, kdo vytvoří štítek k tomuto záznamu!

Buďte první, kdo okomentuje tento záznam!