Anomaly Detection on Inline-Food-Inspection-THz Vanillacrescent
0.938AUROCBeer-Lambert guided representation learning
Evaluation results
| Method | Links | ||
|---|---|---|---|
| Beer-Lambert guided representation learningLOFO setting=true2026.06 | 0.938 | 0.883 | |
| EfficientADYear=2024, LOFO setting=true2026.06 | 0.91 | 0.849 | |
| SupersimpleNetYear=2024, LOFO setting=true2026.06 | 0.837 | 0.789 | |
| PaDiMYear=2021, LOFO setting=true2026.06 | 0.785 | 0.735 | |
| Reverse DistillationYear=2022, LOFO setting=true2026.06 | 0.767 | 0.74 | |
| PatchCoreYear=2022, LOFO setting=true2026.06 | 0.721 | 0.703 | |
| UniNetYear=2025, LOFO setting=true2026.06 | 0.314 | 0.654 |