A Hybrid Transformer-LSTM Model With 3D Separable Convolution for Video Prediction

A Hybrid Transformer-LSTM Model With 3D Separable Convolution for Video Prediction

Video prediction is an essential vision task due to its wide applications in real-world scenarios. However, it is indeed challenging due to the inherent uncertainty and complex spatiotemporal dynamics of video content. Several state-of-the-art deep learning methods have achieved superior video predi...

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Bibliographic Details
Main Authors: Mareeta Mathai, Ying Liu, Nam Ling
Format: Article
Language:English
Published: IEEE 2024-01-01
Series:IEEE Access
Subjects:
3D separable convolution
deep learning
depthwise convolution
LSTM
pointwise convolution
self-attention
Online Access:https://ieeexplore.ieee.org/document/10464302/

Internet

https://ieeexplore.ieee.org/document/10464302/

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