WaveSFNet combines a wavelet-based codec with spatial-frequency dual-domain gating to deliver competitive multi-step spatiotemporal prediction accuracy on Moving MNIST, TaxiBJ, and WeatherBench at low computational cost.
Swinlstm: Improving spa- tiotemporal prediction accuracy using swin transformer and lstm,
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HyperTea uses global and local temporal enhancement modules plus a temporal alignment module built on hypergraphs to improve moving infrared small target detection, reporting SOTA results on DAUB and IRDST datasets.
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WaveSFNet: A Wavelet-Based Codec and Spatial--Frequency Dual-Domain Gating Network for Spatiotemporal Prediction
WaveSFNet combines a wavelet-based codec with spatial-frequency dual-domain gating to deliver competitive multi-step spatiotemporal prediction accuracy on Moving MNIST, TaxiBJ, and WeatherBench at low computational cost.
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HyperTea: A Hypergraph-based Temporal Enhancement and Alignment Network for Moving Infrared Small Target Detection
HyperTea uses global and local temporal enhancement modules plus a temporal alignment module built on hypergraphs to improve moving infrared small target detection, reporting SOTA results on DAUB and IRDST datasets.