Two-Stream Retentive Long Short-Term Memory Network for Dense Action Anticipation

Analyzing and understanding human actions in long-range videos has promising applications, such as video surveillance, automatic driving, and efficient human-computer interaction. Most researches focus on short-range videos that predict a single action in an ongoing video or forecast an action sever...

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Detalles Bibliográficos
Autores principales: Zhao, Fengda, Zhao, Jiuhan, Li, Xianshan, Zhang, Yinghui, Guo, Dingding, Chen, Wenbai
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2022
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9126708/
https://www.ncbi.nlm.nih.gov/pubmed/35615551
http://dx.doi.org/10.1155/2022/4260247

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9126708/
https://www.ncbi.nlm.nih.gov/pubmed/35615551
http://dx.doi.org/10.1155/2022/4260247

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