PFGNet introduces a frequency-guided peripheral gating block in a pure convolutional architecture to enable adaptive receptive fields for efficient spatiotemporal prediction with fewer parameters than prior methods.
Rethinking urban mobility prediction: A multivariate time series forecasting approach.IEEE Trans- actions on Intelligent Transportation Systems, 26(2):2543– 2557, 2024
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PFGNet: A Fully Convolutional Frequency-Guided Peripheral Gating Network for Efficient Spatiotemporal Predictive Learning
PFGNet introduces a frequency-guided peripheral gating block in a pure convolutional architecture to enable adaptive receptive fields for efficient spatiotemporal prediction with fewer parameters than prior methods.