Anomaly Detection Through Latent Space Restoration Using Vector Quantized Variational Autoencoders.
Sergio Naval MarimontGiacomo TarroniPublished in: ISBI (2021)
Keyphrases
- anomaly detection
- latent space
- vector quantized
- vector quantization
- latent variables
- low dimensional
- image compression
- gaussian process
- denoising
- dimensionality reduction
- lower dimensional
- visual words
- generative model
- feature space
- transfer learning
- matrix factorization
- high dimensional
- unsupervised learning
- image processing
- high dimensional data
- image segmentation
- optical flow
- natural images
- bag of words
- probabilistic model
- markov random field
- pairwise
- pattern recognition
- image representation
- collaborative filtering
- data analysis
- neural network