LSD-YOLOv5: A Steel Strip Surface Defect Detection Algorithm Based on Lightweight Network and Enhanced Feature Fusion Mode

Research article (Sensors, 2023) · cited 31× · AI/ML
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LSD-YOLOv5: A Steel Strip Surface Defect Detection Algorithm Based on Lightweight Network and Enhanced Feature Fusion Mode

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LSD-YOLOv5: A Steel Strip Surface Defect Detection Algorithm Based on Lightweight Network and Enhanced Feature Fusion Mode is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). LSD-YOLOv5: A Steel Strip Surface Defect Detection Algorithm Based on Lightweight Network and Enhanced Feature Fusion Mode. Retrieved May 24, 2026, from https://4ort.xyz/entity/lsd-yolov5-a-steel-strip-surface-defect-detection-algorithm-based-on-lightweight-network-and-enhanced-feature-fusion-mod
MLA “LSD-YOLOv5: A Steel Strip Surface Defect Detection Algorithm Based on Lightweight Network and Enhanced Feature Fusion Mode.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/lsd-yolov5-a-steel-strip-surface-defect-detection-algorithm-based-on-lightweight-network-and-enhanced-feature-fusion-mod.
BibTeX @misc{4ortxyz_lsd-yolov5-a-steel-strip-surface-defect-detection-algorithm-based-on-lightweight-network-and-enhanced-feature-fusion-mod_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{LSD-YOLOv5: A Steel Strip Surface Defect Detection Algorithm Based on Lightweight Network and Enhanced Feature Fusion Mode}}, year = {2026}, url = {https://4ort.xyz/entity/lsd-yolov5-a-steel-strip-surface-defect-detection-algorithm-based-on-lightweight-network-and-enhanced-feature-fusion-mod}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): LSD-YOLOv5: A Steel Strip Surface Defect Detection Algorithm Based on Lightweight Network and Enhanced Feature Fusion Mode — https://4ort.xyz/entity/lsd-yolov5-a-steel-strip-surface-defect-detection-algorithm-based-on-lightweight-network-and-enhanced-feature-fusion-mod (retrieved 2026-05-24)

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