Anomaly Detection on Industrial workpiece dataset
0.998AUPRPre-trained + OL + Incremental k-Center + Augmentation
Evaluation results
| Method | Links | ||
|---|---|---|---|
| Pre-trained + OL + Incremental k-Center + AugmentationTraining Mode=Online Learning, Selection Strategy=Incremental K-Center, Data Augmentation=true2025.12 | 0.998 | 0.992 | |
| Pre-trained + OL + Incremental k-Center + Augmentation with Limited Patch Feature SizeTraining Mode=Online Learning, Selection Strategy=Incremental K-Center, Data Augmentation=true, Patch Feature Size=Limited2025.12 | 0.977 | 0.929 | |
| Pre-trained + BL (Upper Bound)Training Mode=Batch Learning (Upper Bound)2025.12 | 0.972 | 0.912 | |
| Pre-trained + OL + Incremental K-CenterTraining Mode=Online Learning, Selection Strategy=Incremental K-Center2025.12 | 0.961 | 0.89 | |
| Pre-trained + OL + Coreset Subsampling (Baseline)Training Mode=Online Learning, Selection Strategy=Coreset Subsampling2025.12 | 0.908 | 0.776 | |
| Pre-trained (Lower Bound)Training Mode=None (Lower Bound)2025.12 | 0.829 | 0.535 |