Unsupervised Visual Anomaly Detection Using Self-Supervised Pre-Trained Transformer

In the various industrial manufacturing processes, the automatic visual inspection system is an essential part as it reduces the chances of delivering defective products and the cost of training and hiring experts for manual inspection. In this work, we propose a new unsupervised anomaly detection m...

Повний опис

Бібліографічні деталі
Автори: Jun-Hyung Kim, Goo-Rak Kwon
Формат: Стаття
Мова:English
Опубліковано: IEEE 2024-01-01
Серія:IEEE Access
Предмети:
Онлайн доступ:https://ieeexplore.ieee.org/document/10666671/