Object Detection on M3FD (Challenge)
99.5AP50InfraNet-RGB-IR
Evaluation results
| Method | Links | |
|---|---|---|
| InfraNet-RGB-IRBackbone=YOLOv52026.07 | 99.5 | |
| InfraNet-IRBackbone=YOLOv52026.07 | 99.5 | |
| InfraNet-RGB-IRBackbone=YOLOv82026.07 | 99.5 | |
| InfraNet-IRBackbone=YOLOv82026.07 | 99.5 | |
| InfraNet-RGB-IRBackbone=YOLOv122026.07 | 99.5 | |
| InfraNet-IRBackbone=YOLOv122026.07 | 99.4 | |
| TarDALBackbone=YOLOv52026.07 | 84.6 | |
| DenseFuseBackbone=Dense-CNN2026.07 | 83.7 | |
| U2FusionBackbone=VGG-162026.07 | 83.6 | |
| RFNBackbone=RFN2026.07 | 82.7 | |
| GANMcCBackbone=CNN2026.07 | 82.7 | |
| VisibleBackbone=YOLOv52026.07 | 75.9 | |
| InfraredBackbone=YOLOv52026.07 | 70.9 | |
| DDcGANBackbone=CNN2026.07 | 68.9 | |
| MFEIFBackbone=CNN2026.07 | 68.3 | |
| FusionGANBackbone=CNN2026.07 | 66.7 |