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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...
Autores principales: | Zhao, Fengda, Zhao, Jiuhan, Li, Xianshan, Zhang, Yinghui, Guo, Dingding, Chen, Wenbai |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Hindawi
2022
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Materias: | |
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 |
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