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Improving Unsupervised Defect Segmentation by Applying Structural Similarity to Autoencoders

Research article (Proceedings of the 14th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications, 2019) · cited 329× · AI/ML
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Improving Unsupervised Defect Segmentation by Applying Structural Similarity to Autoencoders

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Improving Unsupervised Defect Segmentation by Applying Structural Similarity to Autoencoders is a scholarly article[1].

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  • Improving Unsupervised Defect Segmentation by Applying Structural Similarity to Autoencoders's instance of is recorded as scholarly article[2].

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Carsten Steger

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APA 4ort.xyz Knowledge Graph. (2026). Improving Unsupervised Defect Segmentation by Applying Structural Similarity to Autoencoders. Retrieved May 24, 2026, from https://4ort.xyz/entity/improving-unsupervised-defect-segmentation-by-applying-structural-similarity-to-autoencoders
MLA “Improving Unsupervised Defect Segmentation by Applying Structural Similarity to Autoencoders.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/improving-unsupervised-defect-segmentation-by-applying-structural-similarity-to-autoencoders.
BibTeX @misc{4ortxyz_improving-unsupervised-defect-segmentation-by-applying-structural-similarity-to-autoencoders_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Improving Unsupervised Defect Segmentation by Applying Structural Similarity to Autoencoders}}, year = {2026}, url = {https://4ort.xyz/entity/improving-unsupervised-defect-segmentation-by-applying-structural-similarity-to-autoencoders}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Improving Unsupervised Defect Segmentation by Applying Structural Similarity to Autoencoders — https://4ort.xyz/entity/improving-unsupervised-defect-segmentation-by-applying-structural-similarity-to-autoencoders (retrieved 2026-05-24)

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