Latent Vector Expansion using Autoencoder for Anomaly Detection. (arXiv:2201.01416v1 [cs.CV])

Deep learning methods can classify various unstructured data such as images,
language, and voice as input data. As the task of classifying anomalies becomes
more important in the real world, various methods exist for classifying using
deep learning with data collected in the real world. As the task of classifying
anomalies becomes more important in the real world, there are various methods
for classifying using deep learning with data collected in the real world.
Among the various methods, the representative …

anomaly detection arxiv autoencoder cv detection