Exploring Generalization Boundaries of Unsupervised Industrial Anomaly Detection Models through Attribute Perturbation

Uložené v:
Podrobná bibliografia
Názov: Exploring Generalization Boundaries of Unsupervised Industrial Anomaly Detection Models through Attribute Perturbation
Autori: Wei Ran, Yuzhuo Fu, Ting Liu
Zdroj: ICASSP 2025 - 2025 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). :1-5
Informácie o vydavateľovi: IEEE, 2025.
Rok vydania: 2025
Druh dokumentu: Article
DOI: 10.1109/icassp49660.2025.10889392
Rights: STM Policy #29
Prístupové číslo: edsair.doi...........319ed32fa874ff49190d5feaad344bde
Databáza: OpenAIRE
Popis
DOI:10.1109/icassp49660.2025.10889392