Object Detection on KAIST Reasonable (test)
7.17Miss RateOurs
Evaluation Results
| Method | Links | ||
|---|---|---|---|
| OursBackbone=CSPDarkNet53, Platform=RTX 30902023.08 | 7.17 | 38.46 | |
| MLPDBackbone=VGG162023.08 | 7.58 | — | |
| MSDS-RCNNBackbone=VGG16, Platform=GTX 1080Ti2023.08 | 8.23 | 4.55 | |
| MBNetBackbone=ResNet50, Platform=GTX 1080Ti2023.08 | 8.4 | 14.29 | |
| AR-CNNBackbone=VGG16, Platform=TITAN X2023.08 | 10.22 | 8.33 | |
| CIANetBackbone=VGG16, Platform=GTX 1080Ti2023.08 | 14.13 | 16.67 | |
| IATDNN-IAMSSBackbone=VGG16, Platform=TITAN X2023.08 | 14.46 | 4 | |
| IAF-RCNNBackbone=VGG16, Platform=TITAN X2023.08 | 15.57 | 4.76 | |
| FusionRPN+BFBackbone=VGG162023.08 | 18.29 | — | |
| Halfway FusionBackbone=VGG16, Platform=TITAN X2023.08 | 25.77 | 2.33 | |
| ACF+T+THOGBackbone=VGG162023.08 | 47.32 | — |