Qinan Li, Haixin Sun, Kejia Sun. Fine-grained Classification of Sleeper Shoulder Crack Images Based on Improved B-CNN[J]. Laser & Optoelectronics Progress, 2020, 57(14): 141013
- Laser & Optoelectronics Progress
- Vol. 57, Issue 14, 141013 (2020)
Fig. 1. Crack images of bi-block sleeper shoulder. (a) Normal; (b) invisible crack; (c) obvious crack; (d) fracture crack
Fig. 2. B-CNN model structure
Fig. 3. B-CNN forward operation mode. (a) No sharing; (b) partial sharing; (c) full sharing
Fig. 4. Improved B-CNN model structure
Fig. 5. Crack images of concentrated sleeper shoulder in test set. (a) Invisible crack sleeper; (b) obvious crack sleeper
Fig. 6. Classification accuracy curves of training set
Fig. 7. Loss rate curves of training set
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Table 1. Comparison of accuracy and feature dimensions of different models under full sharing mode on verification set and test set
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Table 2. Fine-grained classification results of test set
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Table 3. Classification results of three models on verification set and test set
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Table 4. Comparison of feature extraction speed and model parameters of different models
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