Research Article
A New Steel Defect Detection Algorithm Based on Deep Learning
Table 6
The algorithms of SSD, RetinaNet, and Cascade R-CNN are compared with the experimental results of the proposed algorithm.
| Algorithms | AP | mAP | mAP increasing | a | b | c | d | e | f |
| SSD | 0.302 | 0.522 | 0.620 | 0.390 | 0.709 | 0.515 | 0.510 | +0.242 | RetinaNet | 0.391 | 0.676 | 0.772 | 0.711 | 0.546 | 0.542 | 0.606 | +0146 | Cascade R-CNN | 0.321 | 0601 | 0.794 | 0.723 | 0.509 | 0.805 | 0.626 | +0.126 | This paper | 0.501 | 0.791 | 0.792 | 0.874 | 0.649 | 0.905 | 0.752 | ā |
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