Kavli Affiliate: Yi Zhou | First 5 Authors: Dongwei Ji, Dongwei Ji, , , | Summary: Industrial anomaly detection (IAD) is critical for manufacturing quality control, but conventionally requires significant manual effort for various application scenarios. This paper introduces AutoIAD, a multi-agent collaboration framework, specifically designed for end-to-end automated development of industrial visual anomaly detection. […]
Continue.. AutoIAD: Manager-Driven Multi-Agent Collaboration for Automated Industrial Anomaly Detection