UrbanFM: Inferring Fine-Grained Urban Flows

Benchmark Model Rank Results
fine-grained-urban-flow-inference-on-taxibjUrbanFM#2MSE: 15.6025MAE: 2.011MAPE: 0.327
fine-grained-urban-flow-inference-on-taxibjUrbanFM-ne#3MSE: 16.1202MAE: 2.047MAPE: 0.332
fine-grained-urban-flow-inference-on-taxibjDeepSD#4MSE: 17.2723MAE: 2.368MAPE: 0.614
fine-grained-urban-flow-inference-on-taxibjVDSR#5MSE: 17.2972MAE: 2.213MAPE: 0.467
fine-grained-urban-flow-inference-on-taxibjSRResNet#6MSE: 17.3388MAE: 2.457MAPE: 0.713
fine-grained-urban-flow-inference-on-taxibjESPCN#7MSE: 17.6904MAE: 2.497MAPE: 0.732
fine-grained-urban-flow-inference-on-taxibjSRCNN#8MSE: 18.4642MAE: 2.491MAPE: 0.714
fine-grained-urban-flow-inference-on-taxibjHA#9MSE: 22.4770MAE: 2.251MAPE: 0.336
fine-grained-urban-flow-inference-on-taxibj-1UrbanFM#2MSE: 18.7402MAE: 2.224MAPE: 0.313
fine-grained-urban-flow-inference-on-taxibj-1UrbanFM-ne#3MSE: 19.2369MAE: 2.258MAPE: 0.320
fine-grained-urban-flow-inference-on-taxibj-3UrbanFM#2MSE: 12.2570MAE: 1.815MAPE: 0.308
fine-grained-urban-flow-inference-on-taxibj-3UrbanFM-ne#3MSE: 12.666MAE: 1.845MAPE: 0.309