SaF-AD: Saliency-Adaptive and Feature-Consistent Diffusion for Industrial Anomaly Detection.
Yilong Liu|Yuanyang Zhang|Zirui Luo|Kaixi Xu|Yining Xu|Li Yao
| Anthology ID: | DBLP:conf/mir/LiuZLXXY26 |
|---|---|
| Volume: | Proceedings of the 2026 International Conference on Multimedia Retrieval, ICMR 2026, Amsterdam, The Netherlands, June 16-19, 2026 |
| Year: | 2026 |
| Venue: | International Conference on Multimedia Retrieval (ICMR) |
| Publisher: | ACM |
| Pages: | 777-786 |
| URL: | https://doi.org/10.1145/3805622.3810806 |
| DOI: | https://doi.org/10.1145/3805622.3810806 |
| DBLP: | conf/mir/LiuZLXXY26 |
| BibTeX: |
@inproceedings{liu-2026-safad,
author = {Yilong Liu and
Yuanyang Zhang and
Zirui Luo and
Kaixi Xu and
Yining Xu and
Li Yao},
editor = {Stevan Rudinac and
Zi Huang and
Marcel Worring and
Lucia Vadicamo and
Xirong Li and
Pascal Mettes and
Lizi Liao},
title = {{SaF-AD: Saliency-Adaptive and Feature-Consistent Diffusion for Industrial Anomaly Detection}},
booktitle = {{Proceedings of the 2026 International Conference on Multimedia Retrieval, ICMR 2026, Amsterdam, The Netherlands, June 16-19, 2026}},
pages = {777--786},
publisher = {ACM},
year = {2026},
url = {https://doi.org/10.1145/3805622.3810806},
doi = {https://doi.org/10.1145/3805622.3810806}
}