KeyMemoryRNN: A Flexible Prediction Framework for Spatiotemporal Prediction Networks

Most previous recurrent neural networks for spatiotemporal prediction have difficulty in learning the long-term spatiotemporal correlations and capturing skip-frame correlations. The reason is that the recurrent neural networks update the memory states only using information from the previous time s...

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Autores principales: Shengchun Wang, Xiang Lin, Huijie Zhu
Formato: article
Lenguaje:EN
Publicado: IEEE 2021
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Acceso en línea:https://doaj.org/article/2b32dae151a54f3baa0971aa0135b6a9
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