Defect Detection On Kolektorsdd2
Metrics
Average Precision
Results
Performance results of various models on this benchmark
Model Name | Average Precision | Paper Title | Repository |
|---|---|---|---|
| SuperSimpleNet | 97.4 | SuperSimpleNet: Unifying Unsupervised and Supervised Learning for Fast and Reliable Surface Defect Detection | |
| DSR | 95.2 | DSR -- A dual subspace re-projection network for surface anomaly detection | |
| Segmentation+Decision Net (end-to-end) | 95.4 | Mixed supervision for surface-defect detection: from weakly to fully supervised learning |
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