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Spatio-Temporal Forecasting on TaxiBJ

0.287MSEWaveSFNet
0.1626641.0019321.84122.680468Dec 6, 2023Apr 23, 2024Sep 10, 2024Jan 28, 2025Jun 17, 2025Nov 4, 2025Mar 24, 2026

Evaluation results

MethodLinks
WaveSFNetCategory=Recurrent-free, Params (M)=4.5, FLOPs (G)=1.12026.030.28714.680.985939.88
PFGNetParams=1.9M, FLOPs=0.6G2026.020.288114.750.9857—
VMRNNParams=2.6M, FLOPs=0.9G2026.020.288714.690.9858—
VMRNNCategory=Recurrent-based, Params (M)=2.6, FLOPs (G)=0.92026.030.288714.690.9858—
SwinLSTMParams=2.9M, FLOPs=1.3G2026.020.3026150.9843—
SwinLSTMCategory=Recurrent-based, Params (M)=2.9, FLOPs (G)=1.32026.030.3026150.9843—
MAUParams=4.4M, FLOPs=6.4G2026.020.306215.260.984—
MAUCategory=Recurrent-based, Params (M)=4.4, FLOPs (G)=6.42026.030.306215.260.98439.52
TAU2023.120.310814.930.984839.74
TAUParams=9.6M, FLOPs=2.5G2026.020.310814.930.9848—
TAUCategory=Recurrent-free, Params (M)=9.6, FLOPs (G)=2.52026.030.310814.930.984839.74
MIM2023.120.31114.960.984739.65
MIMParams=37.9M, FLOPs=64.1G2026.020.31114.960.9847—
MIMCategory=Recurrent-based, Params (M)=37.9, FLOPs (G)=64.12026.030.31114.960.984739.65
MogaNetCategory=Recurrent-free, Params (M)=10.0, FLOPs (G)=2.62026.030.311415.060.984739.7
Met2NetParams=16.8M, FLOPs=8.8G2026.020.316414.820.9851—
SimVP+SVQcodebook=Frozen2023.120.317114.680.984839.83
SimVP+SVQcodebook=Learnable2023.120.319114.640.984939.86
PredRNN2023.120.319415.310.983839.51
PredRNNParams=23.7M, FLOPs=42.4G2026.020.319415.310.9838—
PredRNNCategory=Recurrent-based, Params (M)=23.7, FLOPs (G)=42.42026.030.319415.310.983839.51
SimVPmodule=without VQ2023.120.324615.030.984439.71
SimVPv2Params=10.0M, FLOPs=2.6G2026.020.324615.030.9844—
SimVPv2Category=Recurrent-free, Params (M)=10.0, FLOPs (G)=2.62026.030.324615.030.984439.71
MAU2023.120.326815.260.983439.52
SimVPParams=13.8M, FLOPs=3.6G2026.020.328215.450.9835—
SimVPCategory=Recurrent-free, Params (M)=13.8, FLOPs (G)=3.62026.030.328215.450.983539.45
PredRNN.V22023.120.333415.550.982639.49
PredRNN++2023.120.334815.370.983439.47
PredRNN++Params=38.4M, FLOPs=63.0G2026.020.334815.370.9834—
PredRNN++Category=Recurrent-based, Params (M)=38.4, FLOPs (G)=63.02026.030.334815.370.983439.47
ConvLSTM2023.120.335815.320.983639.45
ConvLSTMParams=15.0M, FLOPs=20.7G2026.020.335815.320.9836—
ConvLSTMCategory=Recurrent-based, Params (M)=15.0, FLOPs (G)=20.72026.030.335815.320.983639.45
E3D-LSTMParams=51.0M, FLOPs=98.2G2026.020.342114.980.9842—
E3D-LSTMCategory=Recurrent-based, Params (M)=51.0, FLOPs (G)=98.192026.030.342114.980.984239.64
E3D-LSTM2023.120.342714.980.984239.64
PredNet2023.120.351615.910.982839.29
PredNetParams=12.5M, FLOPs=0.9G2026.020.351615.910.9828—
PhyDNet2023.120.362215.530.982839.46
PhyDNetParams=3.1M, FLOPs=5.6G2026.020.362215.530.9828—
PhyDNetCategory=Recurrent-based, Params (M)=3.1, FLOPs (G)=5.62026.030.362215.530.982839.46
PredRNNv2Params=23.7M, FLOPs=42.6G2026.020.383415.550.9826—
PredRNNv2Category=Recurrent-based, Params (M)=23.7, FLOPs (G)=42.62026.030.383415.550.982639.49
DMVFN2023.123.395445.520.832131.14