PTCT: Patches with 3D-Temporal Convolutional Transformer Network for Precipitation Nowcasting. (arXiv:2112.01085v2 [cs.CV] UPDATED)

Precipitation nowcasting is to predict the future rainfall intensity over a
short period of time, which mainly relies on the prediction of radar echo
sequences. Though convolutional neural network (CNN) and recurrent neural
network (RNN) are widely used to generate radar echo frames, they suffer from
inductive bias (i.e., translation invariance and locality) and seriality,
respectively. Recently, Transformer-based methods also gain much attention due
to the great potential of Transformer structure, whereas short-term
dependencies and autoregressive characteristic are ignored. In …

3d arxiv cv network precipitation temporal transformer