Oct, 2023
卷积状态空间模型用于长程时空建模
Convolutional State Space Models for Long-Range Spatiotemporal Modeling
Jimmy T.H. Smith, Shalini De Mello, Jan Kautz, Scott W. Linderman, Wonmin Byeon
TL;DRConvSSMs combine ConvLSTM and state space methods to efficiently model long spatiotemporal sequences, outperforming Transformers and ConvLSTM in terms of training speed and sample generation while matching or exceeding state-of-the-art methods on various benchmarks.