Table 3 Baseline Classification Results
From: Contrastive self-supervised representation learning framework for metal surface defect detection
Encoders | Accuracy (%) | F1-score |
|---|---|---|
ConvNet | 91.00 | 0.91 |
Skip-ConvNet | 92.00 | 0.92 |
ShuffleNet | 94.81 | 0.95 |
From: Contrastive self-supervised representation learning framework for metal surface defect detection
Encoders | Accuracy (%) | F1-score |
|---|---|---|
ConvNet | 91.00 | 0.91 |
Skip-ConvNet | 92.00 | 0.92 |
ShuffleNet | 94.81 | 0.95 |