Crowd Counting on DroneRGBT
7.32MAETAPNet
Evaluation results
| Method | Links | |||
|---|---|---|---|---|
| TAPNetBackbone=ResNet50, Approach=Point, Modality=R-T2025.05 | 7.32 | 11.54 | 65.7 | |
| MMCountBackbone=CNN, Approach=Map, Modality=R-T2025.05 | 9.2 | 18 | — | |
| DroneNetBackbone=YOLOv5, Approach=Detection, Modality=R-T2025.05 | 10.1 | 18.8 | — | |
| TAPNetBackbone=ResNet50, Approach=Point, Modality=RGB2025.05 | 10.32 | 16.14 | 61 | |
| MMCountBackbone=CNN, Approach=Map, Modality=RGB2025.05 | 10.8 | 21.1 | — | |
| P2PNetBackbone=Vgg16, Approach=Point, Modality=RGB2025.05 | 10.83 | 17.09 | 59.6 | |
| PETBackbone=Vgg16, Approach=Point, Modality=RGB2025.05 | 10.92 | 16.85 | 61.1 | |
| DroneNetBackbone=YOLOv5, Approach=Detection, Modality=RGB2025.05 | 11.3 | 22.1 | — | |
| APGCCBackbone=Vgg16, Approach=Point, Modality=RGB2025.05 | 11.5 | 16.61 | 60.3 | |
| CLTRBackbone=ResNet50, Approach=Point, Modality=RGB2025.05 | 12.06 | 20.86 | 58.7 | |
| TAPNetBackbone=ResNet50, Approach=Point, Modality=TIR2025.05 | 13.15 | 19.86 | 58.6 | |
| MMCountBackbone=CNN, Approach=Map, Modality=TIR2025.05 | 16 | 23.3 | — | |
| DroneNetBackbone=YOLOv5, Approach=Detection, Modality=TIR2025.05 | 18.6 | 25.2 | — |