Crowd Counting on Mall dataset (test)
1.34MAEBaseline(100%+DA)
Evaluation results
| Method | Links | ||||
|---|---|---|---|---|---|
| Baseline(100%+DA)Training Data Source=SynMVCrowd, Target Data Finetuning Percentage=100%, Domain Adaptation (DA) techniques=True2026.03 | 1.34 | 1.74 | — | 4.4 | |
| Baseline(100%)Training Data Source=SynMVCrowd, Target Data Finetuning Percentage=100%2026.03 | 1.39 | 1.81 | — | 4.6 | |
| Baseline(30%+DA)Training Data Source=SynMVCrowd, Target Data Finetuning Percentage=30%, Domain Adaptation (DA) techniques=True2026.03 | 1.41 | 1.8 | — | 4.6 | |
| DecideNet2017.12 | 1.52 | 1.9 | — | — | |
| DecideNet2019.08 | 1.52 | — | 1.9 | — | |
| DecideNetTraining Data Source=Same as target2026.03 | 1.53 | 1.89 | — | — | |
| DeepCount2019.08 | 1.55 | — | 2 | — | |
| CL-DCNNTraining Data Source=Same as target2026.03 | 1.55 | 2.01 | — | — | |
| GRGAF-STTraining Data Source=Same as target2026.03 | 1.61 | 2.07 | — | — | |
| Baseline(30%)Training Data Source=SynMVCrowd, Target Data Finetuning Percentage=30%2026.03 | 1.67 | 2.13 | — | 5.5 | |
| U-ASD NetTraining Data Source=Same as target2026.03 | 1.8 | 2.2 | — | — | |
| Exemplary Density2017.12 | 1.82 | 2.74 | — | — | |
| Crowd-CNNTraining Data Source=Same as target2026.03 | 1.83 | 2.76 | — | — | |
| Baseline(10%+DA)Training Data Source=SynMVCrowd, Target Data Finetuning Percentage=10%, Domain Adaptation (DA) techniques=True2026.03 | 1.84 | 2.33 | — | 6.1 | |
| Baseline(10%)Training Data Source=SynMVCrowd, Target Data Finetuning Percentage=10%2026.03 | 1.99 | 2.55 | — | 6.5 | |
| LC-PSPNet2018.07 | 2 | — | — | — | |
| Boosting CNN2017.12 | 2.01 | — | — | — | |
| CNN-boosting2018.07 | 2.01 | — | — | — | |
| LC-ResFCN2018.07 | 2.12 | — | — | — | |
| IG-CNNTraining Data Source=Same as target2026.03 | 2.39 | 9.14 | — | — | |
| Weighted VLAD2017.12 | 2.41 | 9.12 | — | — | |
| Weighted VLAD2019.08 | 2.41 | — | 3.12 | — | |
| LC-FCN82018.07 | 2.42 | — | — | — | |
| MCNNTraining Data Source=Same as target2026.03 | 2.74 | 13.5 | — | — | |
| MoCNN2017.12 | 2.75 | 13.4 | — | — | |
| MoCNN2018.07 | 2.75 | — | — | — | |
| ST-CNNTraining Data Source=Same as target2026.03 | 4.03 | 5.87 | — | — | |
| Count Forest2017.12 | 4.4 | 2.4 | — | — | |
| COUNT Forest2019.08 | 4.4 | — | 2.4 | — | |
| Faster R-CNN2017.12 | 5.91 | 6.6 | — | — | |
| Faster R-CNN2019.08 | 5.91 | — | 6.6 | — | |
| R-FCN2017.12 | 6.02 | 5.46 | — | — | |
| R-FCN2019.08 | 6.02 | — | 5.46 | — | |
| SquareChn Detector2017.12 | 20.55 | 439.1 | — | — | |
| Baseline(test)Training Data Source=SynMVCrowd, Target Data Finetuning Percentage=0%2026.03 | 21.67 | 21.95 | — | 72.9 |