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ConUAD: Combating Noisy Data through Selective Contrastive Learning for Unsupervised Acoustic Anomaly Detection

Year: 2025

Type: conference-paper

DOI: 10.1109/ssp64130.2025.11073256

Authors: Zhaoyi Liu, Sam Michiels, Danny Hughes

Institution: KU Leuven

Language: English

Topic: Anomaly Detection Techniques and Applications

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: closed

Funder: KU Leuven

OpenAlex ID: W4413087570

FWCI:

Cites: 23

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Related to: 10