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Models/UrbanFM-ne

UrbanFM-ne

Reported on 9 benchmarks across 1 task · 1 paper · 8 SOTA

Note: results are matched by exact model name. Different papers may use the same name for different model variants.

Miscellaneous9 results

  • Fine-Grained Urban Flow InferenceonTaxiBJ-P1
    MAE· 2019-02-06
    2.047
    best: 2.011 (UrbanFM)
    SOTA
    UrbanFM: Inferring Fine-Grained Urban FlowsarXiv:1902.05377
  • Fine-Grained Urban Flow InferenceonTaxiBJ-P1
    MSE· 2019-02-06
    16.1202
    best: 14.9232 (STCF)
    SOTA
    UrbanFM: Inferring Fine-Grained Urban FlowsarXiv:1902.05377
  • Fine-Grained Urban Flow InferenceonTaxiBJ-P4
    MAE· 2019-02-06
    1.845
    best: 1.815 (UrbanFM)
    SOTA
    UrbanFM: Inferring Fine-Grained Urban FlowsarXiv:1902.05377
  • Fine-Grained Urban Flow InferenceonTaxiBJ-P4
    MAPE· 2019-02-06
    0.309
    SOTA
    UrbanFM: Inferring Fine-Grained Urban FlowsarXiv:1902.05377
  • Fine-Grained Urban Flow InferenceonTaxiBJ-P4
    MSE · 2019-02-06
    12.666
    best: 11.7718 (STCF)
    SOTA
    UrbanFM: Inferring Fine-Grained Urban FlowsarXiv:1902.05377
  • Fine-Grained Urban Flow InferenceonTaxiBJ-P2
    MAE· 2019-02-06
    2.258
    best: 2.224 (UrbanFM)
    SOTA
    UrbanFM: Inferring Fine-Grained Urban FlowsarXiv:1902.05377
  • Fine-Grained Urban Flow InferenceonTaxiBJ-P2
    MAPE· 2019-02-06
    0.32
    SOTA
    UrbanFM: Inferring Fine-Grained Urban FlowsarXiv:1902.05377
  • Fine-Grained Urban Flow InferenceonTaxiBJ-P2
    MSE · 2019-02-06
    19.2369
    best: 18.2566 (STCF)
    SOTA
    UrbanFM: Inferring Fine-Grained Urban FlowsarXiv:1902.05377
  • Fine-Grained Urban Flow InferenceonTaxiBJ-P1
    MAPE· 2019-02-06
    0.332
    best: 0.732 (ESPCN)
    UrbanFM: Inferring Fine-Grained Urban FlowsarXiv:1902.05377