Research Article
Normalizing Flow-Based Industrial Complex Background Anomaly Detection
Table 3
The AUROC score (%) on HSRBD datasets compared with the previous method.
| Classes | GANomaly | SPADE | PaDiM | DifferNet | CS-Flow | CSA-Flow (ours) |
| Scenario 1 | 64.70 | 36.10 | 89.20 | 40.11 | 57.23 | 82.23 (−7.81%) | Scenario 2 | 68.70 | 86.00 | 96.00 | 69.56 | 98.67 | 100.00 (1.35%) | Scenario 3 | 76.00 | 77.40 | 96.60 | 73.56 | 94.23 | 100.00 (3.52%) | Scenario 4 | 57.00 | 94.50 | 67.30 | 60.61 | 83.03 | 89.09 (−5.72%) | Average | 66.60 | 73.50 | 87.28 | 60.96 | 83.29 | 92.83 (6.37%) |
|
|
Bold values denote the best result in the class.
|