Adaptive cropping shallow attention network for defect detection of bridge girder steel using unmanned aerial vehicle images

Research article (Journal of Zhejiang University. Science A, 2023) · cited 21× · AI/ML
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Adaptive cropping shallow attention network for defect detection of bridge girder steel using unmanned aerial vehicle images

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Adaptive cropping shallow attention network for defect detection of bridge girder steel using unmanned aerial vehicle images is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Adaptive cropping shallow attention network for defect detection of bridge girder steel using unmanned aerial vehicle images. Retrieved May 24, 2026, from https://4ort.xyz/entity/adaptive-cropping-shallow-attention-network-for-defect-detection-of-bridge-girder-steel-using-unmanned-aerial-vehicle-im
MLA “Adaptive cropping shallow attention network for defect detection of bridge girder steel using unmanned aerial vehicle images.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/adaptive-cropping-shallow-attention-network-for-defect-detection-of-bridge-girder-steel-using-unmanned-aerial-vehicle-im.
BibTeX @misc{4ortxyz_adaptive-cropping-shallow-attention-network-for-defect-detection-of-bridge-girder-steel-using-unmanned-aerial-vehicle-im_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Adaptive cropping shallow attention network for defect detection of bridge girder steel using unmanned aerial vehicle images}}, year = {2026}, url = {https://4ort.xyz/entity/adaptive-cropping-shallow-attention-network-for-defect-detection-of-bridge-girder-steel-using-unmanned-aerial-vehicle-im}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Adaptive cropping shallow attention network for defect detection of bridge girder steel using unmanned aerial vehicle images — https://4ort.xyz/entity/adaptive-cropping-shallow-attention-network-for-defect-detection-of-bridge-girder-steel-using-unmanned-aerial-vehicle-im (retrieved 2026-05-24)

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