GTAINet: Graph neural network-based two-stage anomaly identification for locking wire point clouds using hierarchical attentive edge convolution
With the application of 3D sensors, studies on various vision tasks based on point clouds have been explored in different fields. In the field of the high-speed train safety inspection, the vision-based artificial intelligence inspection technology has received greater attention in recent years. In...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2022-12-01
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| Series: | International Journal of Applied Earth Observations and Geoinformation |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S1569843222002941 |