ViTR-Net: An unsupervised lightweight transformer network for cable surface defect detection and adaptive classification

Research article (Engineering Structures, 2024) · cited 13× · AI/ML
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ViTR-Net: An unsupervised lightweight transformer network for cable surface defect detection and adaptive classification

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ViTR-Net: An unsupervised lightweight transformer network for cable surface defect detection and adaptive classification is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). ViTR-Net: An unsupervised lightweight transformer network for cable surface defect detection and adaptive classification. Retrieved May 24, 2026, from https://4ort.xyz/entity/vitr-net-an-unsupervised-lightweight-transformer-network-for-cable-surface-defect-detection-and-adaptive-classification
MLA “ViTR-Net: An unsupervised lightweight transformer network for cable surface defect detection and adaptive classification.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/vitr-net-an-unsupervised-lightweight-transformer-network-for-cable-surface-defect-detection-and-adaptive-classification.
BibTeX @misc{4ortxyz_vitr-net-an-unsupervised-lightweight-transformer-network-for-cable-surface-defect-detection-and-adaptive-classification_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{ViTR-Net: An unsupervised lightweight transformer network for cable surface defect detection and adaptive classification}}, year = {2026}, url = {https://4ort.xyz/entity/vitr-net-an-unsupervised-lightweight-transformer-network-for-cable-surface-defect-detection-and-adaptive-classification}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): ViTR-Net: An unsupervised lightweight transformer network for cable surface defect detection and adaptive classification — https://4ort.xyz/entity/vitr-net-an-unsupervised-lightweight-transformer-network-for-cable-surface-defect-detection-and-adaptive-classification (retrieved 2026-05-24)

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