Anomaly Detection Using GANs for Visual Inspection in Noisy Training Data

no code implementations • 3 Jul 2018 • Masanari Kimura, Takashi Yanagihara

The proposed method detects pixel-level micro anomalies with a high accuracy from 1024x1024 high resolution images which are actually used in an industrial scene.

Unsupervised Anomaly Detection