Out-of-Distribution Detection on Radar Facial Authentication Dataset ID OOD (test)
0.9413AUROCRFOOD
Evaluation results
| Method | Links | |||||
|---|---|---|---|---|---|---|
| RFOODModel Architecture=RFOOD (facial authentication module of FOODER)2025.12 | 0.9413 | 0.8583 | 0.9702 | 18.12 | 7 | |
| MAHABackbone=ResNet-34, Training Approach=one-class classification2025.12 | 0.8515 | 0.7948 | 0.902 | 61.99 | 806 | |
| FSSDBackbone=ResNet-34, Training Approach=one-class classification2025.12 | 0.6192 | 0.3967 | 0.7918 | 69.06 | 948 | |
| KLBackbone=ResNet-34, Training Approach=one-class classification2025.12 | 0.5016 | 0.3662 | 0.6378 | 95.02 | 63 | |
| ODINBackbone=ResNet-34, Training Approach=one-class classification2025.12 | 0.4982 | 0.3634 | 0.6378 | 94.83 | 243 | |
| MSPBackbone=ResNet-34, Training Approach=one-class classification2025.12 | 0.4973 | 0.3613 | 0.6352 | 94.59 | 63 | |
| GRADNORMBackbone=ResNet-34, Training Approach=one-class classification2025.12 | 0.4919 | 0.3599 | 0.6472 | 95.75 | 184 | |
| MAXLOGITBackbone=ResNet-34, Training Approach=one-class classification2025.12 | 0.4426 | 0.3129 | 0.6164 | 95.09 | 64 | |
| REACTBackbone=ResNet-34, Training Approach=one-class classification2025.12 | 0.2819 | 0.2647 | 0.4919 | 100 | 64 | |
| ENERGYBackbone=ResNet-34, Training Approach=one-class classification2025.12 | 0.2762 | 0.2603 | 0.4906 | 100 | 63 |