Baozhi Zeng, Jianqiao Luo, Ying Xiong, Bailin Li. Graph Convolutional Network Detection Model for Pipeline Defects Based on Improved Label Graph[J]. Laser & Optoelectronics Progress, 2022, 59(18): 1810004
- Laser & Optoelectronics Progress
- Vol. 59, Issue 18, 1810004 (2022)
Fig. 1. ILG-GCN model framework
Fig. 2. Network structure. (a) CNN network structure; (b) GCN network structure
Fig. 3. Accuracy comparison of different
Fig. 4. Accuracy comparison of different
Fig. 5. Classifier visual comparison.(a) Classifiers learned from CNN model; (b) classifiers learned from ILG-GCN model
Fig. 6. Label graph comparison.(a) Label graph adopted by existing GCN model; (b) improved label graph adopted by ILG-GCN model
Fig. 7. Comparison of model prediction results.(a) True label of sample;(b) prediction results of ML-GCN model;(c) prediction results of ILG-GCN model
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Table 1. Dataset partition
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Table 2. AP and mAP of each model
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