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Attention-Based Temporal Encoding Network with Background-Independent Motion Mask for Action Recognition
Convolutional neural network (CNN) has been leaping forward in recent years. However, the high dimensionality, rich human dynamic characteristics, and various kinds of background interference increase difficulty for traditional CNNs in capturing complicated motion data in videos. A novel framework n...
| Autores principales: | , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Hindawi
2021
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8024088/ https://www.ncbi.nlm.nih.gov/pubmed/33859682 http://dx.doi.org/10.1155/2021/8890808 |