Quantitative detection of typical bridge surface damages based on global attention mechanism and YOLOv7 network

Research article (Structural Health Monitoring, 2024) · cited 14× · AI/ML
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Quantitative detection of typical bridge surface damages based on global attention mechanism and YOLOv7 network

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Quantitative detection of typical bridge surface damages based on global attention mechanism and YOLOv7 network is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Quantitative detection of typical bridge surface damages based on global attention mechanism and YOLOv7 network. Retrieved May 24, 2026, from https://4ort.xyz/entity/quantitative-detection-of-typical-bridge-surface-damages-based-on-global-attention-mechanism-and-yolov7-network
MLA “Quantitative detection of typical bridge surface damages based on global attention mechanism and YOLOv7 network.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/quantitative-detection-of-typical-bridge-surface-damages-based-on-global-attention-mechanism-and-yolov7-network.
BibTeX @misc{4ortxyz_quantitative-detection-of-typical-bridge-surface-damages-based-on-global-attention-mechanism-and-yolov7-network_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Quantitative detection of typical bridge surface damages based on global attention mechanism and YOLOv7 network}}, year = {2026}, url = {https://4ort.xyz/entity/quantitative-detection-of-typical-bridge-surface-damages-based-on-global-attention-mechanism-and-yolov7-network}, note = {Accessed: 2026-05-24}}
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