Crowd Counting on GAII C2
7.87MAETAPNet
Evaluation results
| Method | Links | |||
|---|---|---|---|---|
| TAPNetBackbone=ResNet50, Approach=Point, Modality=R-T2025.05 | 7.87 | 13.25 | 52.6 | |
| TAPNetBackbone=ResNet50, Approach=Point, Modality=RGB2025.05 | 8.54 | 13.63 | 50.6 | |
| MMCountBackbone=CNN, Approach=Map, Modality=R-T2025.05 | 9.78 | 19.33 | 48.9 | |
| DroneNetBackbone=YOLOv5, Approach=Detection, Modality=R-T2025.05 | 9.93 | 17.39 | 49.1 | |
| PETBackbone=Vgg16, Approach=Point, Modality=RGB2025.05 | 10.1 | 17.36 | 41.2 | |
| MMCountBackbone=CNN, Approach=Map, Modality=RGB2025.05 | 10.11 | 21.01 | 39.7 | |
| APGCCBackbone=Vgg16, Approach=Point, Modality=RGB2025.05 | 10.35 | 18.92 | 40.9 | |
| DroneNetBackbone=YOLOv5, Approach=Detection, Modality=RGB2025.05 | 10.73 | 20.6 | 46.8 | |
| P2PNetBackbone=Vgg16, Approach=Point, Modality=RGB2025.05 | 10.95 | 21.01 | 45.5 | |
| CLTRBackbone=ResNet50, Approach=Point, Modality=RGB2025.05 | 11.37 | 21.88 | 42.3 | |
| TAPNetBackbone=ResNet50, Approach=Point, Modality=TIR2025.05 | 13.91 | 20.06 | 46.5 | |
| MMCountBackbone=CNN, Approach=Map, Modality=TIR2025.05 | 15.25 | 22.82 | 33.4 | |
| DroneNetBackbone=YOLOv5, Approach=Detection, Modality=TIR2025.05 | 15.86 | 25.62 | 37.9 |