Anomaly detection through latent space restoration using vector-quantized variational autoencoders.
Sergio Naval MarimontGiacomo TarroniPublished in: CoRR (2020)
Keyphrases
- anomaly detection
- latent space
- vector quantized
- vector quantization
- latent variables
- low dimensional
- image compression
- denoising
- visual words
- gaussian process
- lower dimensional
- feature space
- dimensionality reduction
- generative model
- high dimensional
- matrix factorization
- transfer learning
- image processing
- image segmentation
- probabilistic model
- high dimensional data
- image retrieval
- unsupervised learning
- feature selection
- optical flow
- image classification
- principal component analysis
- data points