A deep learning-based surface defect inspection system using multi-scale and channel-compressed features
Summary
A deep learning-based surface defect inspection system using multi-scale and channel-compressed features is a scholarly article[1].
Key Facts
A deep learning-based surface defect inspection system using multi-scale and channel-compressed features's instance of is recorded as scholarly article[2].
References
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Use these citations when quoting this entity in research, articles, AI prompts, or wherever provenance matters. We aggregate Wikidata + Wikipedia + authoritative open-data sources; the stitched, scored, cross-referenced view is what 4ort.xyz contributes.
APA4ort.xyz Knowledge Graph. (2026). A deep learning-based surface defect inspection system using multi-scale and channel-compressed features. Retrieved May 24, 2026, from https://4ort.xyz/entity/a-deep-learning-based-surface-defect-inspection-system-using-multi-scale-and-channel-compressed-features
MLA“A deep learning-based surface defect inspection system using multi-scale and channel-compressed features.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/a-deep-learning-based-surface-defect-inspection-system-using-multi-scale-and-channel-compressed-features.
BibTeX@misc{4ortxyz_a-deep-learning-based-surface-defect-inspection-system-using-multi-scale-and-channel-compressed-features_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{A deep learning-based surface defect inspection system using multi-scale and channel-compressed features}}, year = {2026}, url = {https://4ort.xyz/entity/a-deep-learning-based-surface-defect-inspection-system-using-multi-scale-and-channel-compressed-features}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): A deep learning-based surface defect inspection system using multi-scale and channel-compressed features — https://4ort.xyz/entity/a-deep-learning-based-surface-defect-inspection-system-using-multi-scale-and-channel-compressed-features (retrieved 2026-05-24)
