A Perceptual Metric Prior on Deep Latent Space Improves Out-Of-Distribution Synthetic Aperture Sonar Image Classification.
Isaac D. GergCarl F. CotnerPublished in: IGARSS (2023)
Keyphrases
- image classification
- latent space
- synthetic aperture sonar
- latent variables
- distance metric
- bag of words
- low dimensional
- gaussian process
- feature extraction
- lower dimensional
- probability distribution
- visual features
- feature space
- distance measure
- image representation
- visual words
- synthetic aperture
- prior knowledge
- high resolution
- high dimensional
- generative model
- gaussian mixture
- probabilistic latent semantic analysis
- dimensionality reduction
- gaussian processes
- semi supervised
- gaussian process latent variable models
- co occurrence
- parallel architecture
- scene classification
- transfer learning
- manifold learning
- random variables
- probability density function
- d objects
- euclidean distance