%0 Conference Paper %1 conf/icip/HuangLLY23 %A Huang, Yiming %A Liu, Guole %A Luo, Yaoru %A Yang, Ge %B ICIP %D 2023 %I IEEE %K dblp %P 206-210 %T ADFA: Attention-Augmented Differentiable Top-K Feature Adaptation for Unsupervised Medical Anomaly Detection. %U http://dblp.uni-trier.de/db/conf/icip/icip2023.html#HuangLLY23 %@ 978-1-7281-9835-4

@inproceedings{conf/icip/HuangLLY23, added-at = {2023-11-21T00:00:00.000+0100}, author = {Huang, Yiming and Liu, Guole and Luo, Yaoru and Yang, Ge}, biburl = {https://www.bibsonomy.org/bibtex/2265e98c225a29a42db317d6afd603888/dblp}, booktitle = {ICIP}, crossref = {conf/icip/2023}, ee = {https://doi.org/10.1109/ICIP49359.2023.10222528}, interhash = {2f60e64da1bad0b94f618d7d1de6808b}, intrahash = {265e98c225a29a42db317d6afd603888}, isbn = {978-1-7281-9835-4}, keywords = {dblp}, pages = {206-210}, publisher = {IEEE}, timestamp = {2024-04-09T09:42:22.000+0200}, title = {ADFA: Attention-Augmented Differentiable Top-K Feature Adaptation for Unsupervised Medical Anomaly Detection.}, url = {http://dblp.uni-trier.de/db/conf/icip/icip2023.html#HuangLLY23}, year = 2023 }