Defect Detection On Severstal Steel
Metrics
Average Precision
Results
Performance results of various models on this benchmark
Model Name | Average Precision | Paper Title | Repository |
|---|---|---|---|
| Segmentation+Decision Net (end-to-end) | 98.74 | Mixed supervision for surface-defect detection: from weakly to fully supervised learning | |
| Segmentation+Decision Net (end-to-end) | 98.74 | End-to-end training of a two-stage neural network for defect detection |
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