AnoViT: Unsupervised Anomaly Detection and Localization with Vision Transformer-based Encoder-Decoder

Understand

Image anomaly detection problems aim to determine whether an image is abnormal, and to detect anomalous areas.

• These methods are actively used in various fields such as manufacturing, medical care, and intelligent information.
• Encoder-decoder structures have been widely used in the field of anomaly detection because they can easily learn normal patterns in an unsupervised learning environment and calculate a score to identify abnormalities through a reconstruction error indicating the difference between input and reconstructed images.
• Therefore, current image anomaly detection methods have commonly used convolutional encoder-decoders to extract normal information through the local features of images.