AI RESEARCH
Leveraging Unsupervised Learning for Cost-Effective Visual Anomaly Detection
arXiv CS.CV
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ArXi:2409.15980v2 Announce Type: replace Traditional machine learning-based visual inspection systems require extensive data collection and repetitive model