Table 6 Crowd counting performance on the ShanghaiTech, UCF_QNRF, and NWPU-Crowd dataset.
Method | ShanghaiTech | UCF_QNRF | NWPU-Crowd | |||||||
|---|---|---|---|---|---|---|---|---|---|---|
PartA | PartB | Validation set | Test set | |||||||
MAE | RMSE | MAE | RMSE | MAE | RMSE | MAE | RMSE | MAE | RMSE | |
71.6 | 120.1 | 9.9 | 15.6 | 118.0 | 198 | 128.7 | 665.4 | 151.4 | 634.6 | |
TopCount20 | 61.2 | 104.6 | 7.8 | 13.7 | 89.0 | 159.0 | – | – | 107.8 | 438.5 |
AutoScale24 | 65.8 | 112.1 | 8.6 | 13.9 | 104.4 | 174.2 | 97.3 | 571.2 | 123.9 | 515.5 |
GL29 | 61.3 | 95.4 | 7.3 | 11.7 | 84.3 | 147.5 | – | – | 79.3 | 346.1 |
CLTR30 | 56.9 | 95.2 | 6.5 | 10.6 | 87.3 | 142.4 | 51.7 | 137.0 | 84.4 | 344.4 |
WSITrans (ours) | 54.1 | 97.3 | 7.1 | 9.9 | 86.5 | 140.3 | 50.6 | 153.8 | 80.1 | 331.0 |
