The DOI matches its Crossref record; 54 of the 54 references it cites were found in a registry or an index.
Surface defect saliency of magnetic tile
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Cites
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Research works printed but not linked: 7
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Cited by
Towards Total Recall in Industrial Anomaly Detection
Roth, K., Pemula, L., Zepeda, J., Scholkopf, B., Brox, T., & Gehler, P. (2022) · 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) · doi:10.1109/cvpr52688.2022.01392 · Cited by 1,810
“Thorough experiments on the diverse MVTec AD [5] as well as the specialized Magnetic Tile Defects (MTD) [26] industrial anomaly detection benchmarks showcase the power of PatchCore for industrial anomaly detection.”
MethodResultInfluentialBergmann, P., Batzner, K., Fauser, M., Sattlegger, D., & Steger, C. (2021) · International Journal of Computer Vision · doi:10.1007/s11263-020-01400-4 · Cited by 602
Dong, H., Song, K., He, Y., Xu, J., Yan, Y., & Meng, Q. (2020) · IEEE Transactions on Industrial Informatics · doi:10.1109/tii.2019.2958826 · Cited by 559
Same Same But DifferNet: Semi-Supervised Defect Detection with Normalizing Flows
Rudolph, M., Wandt, B., & Rosenhahn, B. (2021) · 2021 IEEE Winter Conference on Applications of Computer Vision (WACV) · doi:10.1109/wacv48630.2021.00195 · Cited by 489
Deep Industrial Image Anomaly Detection: A Survey
Liu, J., Xie, G., Wang, J., Li, S., Wang, C., Zheng, F., & Jin, Y. (2024) · Machine Intelligence Research · doi:10.1007/s11633-023-1459-z · Cited by 463
“Dataset Class Normal Abnormal Total Annotation Level Real or Synthetic AITEX [138] 1 140 105 245 Segmentation mask Real BTAD [97] 3 2,830 Segmentation mask Real DAGM [139] 10 11,500 Segmentation mask Synthetic DEEPPCB [140] 1 1,500 Bounding box Synthetic Eycandies [141] 10 13,250 2,250 15,500 Segmentation mask Synthet…”
Metadata
- Authors
- Huang, Y., Qiu, C., & Yuan, K.
- Venue
- The Visual Computer
- Published
- 2018-08-22
- Volume
- 36
- Issue
- 1
- Pages
- 85-96
- ISSN
- 0178-2789 (ISSN-L)
- 1432-2315
- OpenAlex
- W2888407265
- Cited by
- 438
- References
- 54
- FWCI
- 9.35
- Type
- journal article
- Language
- en
- Open access
- closed
- Licence
- www.springer.com/tdm (tdm)
- Funders
- National Natural Science Foundation of China (61421004)
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- Huang, Y., Qiu, C., & Yuan, K. (2020). Surface defect saliency of magnetic tile. The Visual Computer. https://doi.org/10.1007/s00371-018-1588-5
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
