Traffic Forecasting on TaxiBJ (test)
14.3MAEPredFormer (Binary-ST)
Evaluation results
| Method | Links | |||||
|---|---|---|---|---|---|---|
| PredFormer (Binary-ST)Paras(M)=8.4, Flops(G)=2.2, FPS=3172, Memory(MB)=42.42024.10 | 14.3 | — | 0.986 | 0.277 | — | |
| PredFormer (Triplet-STS)Paras(M)=6.3, Flops(G)=1.6, FPS=4249, Memory(MB)=34.42024.10 | 14.3 | — | 0.986 | 0.277 | — | |
| PredFormer (Fac-T-S)Paras(M)=8.4, Flops(G)=2.2, FPS=3224, Memory(MB)=42.42024.10 | 14.4 | — | 0.985 | 0.283 | — | |
| PredFormer (Quadruplet-TSST)Paras(M)=8.4, Flops(G)=2.2, FPS=3230, Memory(MB)=42.42024.10 | 14.4 | — | 0.986 | 0.284 | — | |
| PredFormer (Full Attention)Paras(M)=8.4, Flops(G)=2.4, FPS=2438, Memory(MB)=42.32024.10 | 14.6 | — | 0.985 | 0.316 | — | |
| PredFormer (Binary-TS)Paras(M)=8.4, Flops(G)=2.2, FPS=3192, Memory(MB)=42.42024.10 | 14.6 | — | 0.985 | 0.286 | — | |
| PredFormer (Quadruplet-STTS)Paras(M)=8.4, Flops(G)=2.2, FPS=3259, Memory(MB)=42.42024.10 | 14.6 | — | 0.985 | 0.293 | — | |
| PredFormer (Triplet-TST)Paras(M)=6.3, Flops(G)=1.6, FPS=4348, Memory(MB)=34.42024.10 | 14.7 | — | 0.985 | 0.293 | — | |
| SwinLSTMParas(M)=2.9, Flops(G)=1.3, FPS=1425, Memory(MB)=22.02024.10 | 15 | — | 0.984 | 0.303 | — | |
| OpenSTL_SwinParas(M)=9.7, Flops(G)=2.6, FPS=1506, Memory(MB)=274.32024.10 | 15.1 | — | 0.985 | 0.313 | — | |
| OpenSTL_ViTParas(M)=9.7, Flops(G)=2.8, FPS=1301, Memory(MB)=174.82024.10 | 15.2 | — | 0.984 | 0.317 | — | |
| PredFormer (Fac-S-T)Paras(M)=8.4, Flops(G)=2.2, FPS=3262, Memory(MB)=42.42024.10 | 15.2 | — | 0.984 | 0.32 | — | |
| PhyDNetParas(M)=3.1, Flops(G)=5.6, FPS=982, Memory(MB)=149.32024.10 | 15.5 | — | 0.983 | 0.362 | — | |
| PredRNNv2Paras(M)=23.7, Flops(G)=42.6, FPS=378, Memory(MB)=106.82024.10 | 15.5 | — | 0.983 | 0.383 | — | |
| SimVPv2Sequence=4 -> 4 frames2022.11 | 15.6 | 34.8 | 0.984 | — | — | |
| TAUParas(M)=9.6, Flops(G)=2.5, FPS=1268, Memory(MB)=175.02024.10 | 15.6 | — | 0.983 | 0.344 | — | |
| PhyDNetSequence=4 -> 4 frames2022.11 | 16.2 | 41.9 | 0.982 | — | — | |
| SimVPSequence=4 -> 4 frames2022.11 | 16.2 | 41.4 | 0.982 | — | — | |
| SimVPParas(M)=13.8, Flops(G)=3.6, FPS=533, Memory(MB)=183.92024.10 | 16.2 | — | 0.982 | 0.414 | — | |
| MIMSequence=4 -> 4 frames2022.11 | 16.6 | 42.9 | 0.971 | — | — | |
| MIMParas(M)=37.9, Flops(G)=64.1, FPS=275, Memory(MB)=158.42024.10 | 16.6 | — | 0.971 | 0.429 | — | |
| PredRNN++Sequence=4 -> 4 frames2022.11 | 16.9 | 44.8 | 0.977 | — | — | |
| E3D-LSTMSequence=4 -> 4 frames2022.11 | 16.9 | 43.2 | 0.979 | — | — | |
| PredRNNParas(M)=23.7, Flops(G)=42.4, FPS=416, Memory(MB)=105.52024.10 | 16.9 | — | 0.977 | 0.464 | — | |
| PredRNN++Paras(M)=38.4, Flops(G)=63.0, FPS=301, Memory(MB)=162.82024.10 | 16.9 | — | 0.971 | 0.448 | — | |
| E3D-LSTMParas(M)=51.0, Flops(G)=98.2, FPS=60, Memory(MB)=240.52024.10 | 16.9 | — | 0.979 | 0.432 | — | |
| PredRNNSequence=4 -> 4 frames2022.11 | 17.1 | 46.4 | 0.971 | — | — | |
| ConvLSTMSequence=4 -> 4 frames2022.11 | 17.7 | 48.5 | 0.978 | — | — | |
| ConvLSTMParas(M)=15.0, Flops(G)=20.7, FPS=815, Memory(MB)=67.02024.10 | 17.7 | — | 0.978 | 0.485 | — | |
| GSRNN2018.04 | — | — | — | — | 16.59 | |
| Joint Training2018.04 | — | — | — | — | 19.5 | |
| Single Node2018.04 | — | — | — | — | 23.5 | |
| STResNet2018.04 | — | — | — | — | 16.69 |