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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| Auteurs principaux: | , , |
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| Format: | article |
| Langue: | EN |
| Publié: |
IEEE
2021
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| Sujets: | |
| Accès en ligne: | https://doaj.org/article/2b32dae151a54f3baa0971aa0135b6a9 |
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