Poster Abstract: Adapting Pretrained Features for Efficient Unsupervised Acoustic Anomaly Detection

Liu, ZhaoyiZhaoyiLiuMichiels, SamSamMichielsJoosen, WouterWouterJoosenHughes, DannyDannyHughes2022-11-152022-09-292022-11-152022naWOS:000855254100055https://imec-publications.be/handle/20.500.12860/40520Poster Abstract: Adapting Pretrained Features for Efficient Unsupervised Acoustic Anomaly DetectionProceedings paper10.1109/IPSN54338.2022.00063978-1-6654-9624-7WOS:000855254100055