Learning deep feature correspondence for unsupervised anomaly detection and segmentation

Reconstruction by inpainting for visual anomaly detection

(2020) Vitjan Zavrtanik et al.   PATTERN RECOGNITION

Unsupervised anomaly segmentation via deep feature reconstruction

(2020) Yong Shi et al.   NEUROCOMPUTING

f-AnoGAN: Fast unsupervised anomaly detection with generative adversarial networks

(2019) Thomas Schlegl et al.   MEDICAL IMAGE ANALYSIS

Learning Deep Features for One-Class Classification

(2019) Pramuditha Perera et al.   IEEE TRANSACTIONS ON IMAGE PROCESSING

An Unsupervised-Learning-Based Approach for Automated Defect Inspection on Textured Surfaces

(2018) Shuang Mei et al.   IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT

Defect Detection in SEM Images of Nanofibrous Materials

(2017) Diego Carrera et al.   IEEE Transactions on Industrial Informatics

ImageNet Large Scale Visual Recognition Challenge

(2015) Olga Russakovsky et al.   INTERNATIONAL JOURNAL OF COMPUTER VISION