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Multi-scale temporal network for continuous sign language recognition. (arXiv:2204.03864v2 [cs.CV] UPDATED)
Aug. 17, 2022, 1:12 a.m. | Qidan Zhu, Jing Li, Fei Yuan, Quan Gan
cs.CV updates on arXiv.org arxiv.org
Continuous Sign Language Recognition (CSLR) is a challenging research task
due to the lack of accurate annotation on the temporal sequence of sign
language data. The recent popular usage is a hybrid model based on "CNN + RNN"
for CSLR. However, when extracting temporal features in these works, most of
the methods using a fixed temporal receptive field and cannot extract the
temporal features well for each sign language word. In order to obtain more
accurate temporal features, this paper …
More from arxiv.org / cs.CV updates on arXiv.org
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