Defect Detection On Kolektorsdd
评估指标
Average Precision
评测结果
各个模型在此基准测试上的表现结果
模型名称 | Average Precision | Paper Title | Repository |
|---|---|---|---|
| Segmentation+Decision Net (end-to-end) | 100 | End-to-end training of a two-stage neural network for defect detection | - |
| U-Net | 96.1 | Segmentation-Based Deep-Learning Approach for Surface-Defect Detection | - |
| DeepLab v3+ | 97.9 | Segmentation-Based Deep-Learning Approach for Surface-Defect Detection | - |
| Segmentation+Decision Net (end-to-end) | 100 | Mixed supervision for surface-defect detection: from weakly to fully supervised learning | - |
| Segmentation+Decision Net | 99.8 | Segmentation-Based Deep-Learning Approach for Surface-Defect Detection | - |
| Cognex ViDi Suite | 98.9 | Segmentation-Based Deep-Learning Approach for Surface-Defect Detection | - |
0 of 6 row(s) selected.