Bayesian Triplet Loss: Uncertainty Quantification in Image Retrieval.
Frederik WarburgMartin JørgensenJavier CiveraSøren HaubergPublished in: CoRR (2020)
Keyphrases
- image retrieval
- decision theory
- dempster shafer
- image database
- relevance feedback
- image search
- visual features
- bayesian learning
- bayesian networks
- posterior distribution
- bayesian estimation
- multimedia retrieval
- image matching
- retrieval accuracy
- bayesian analysis
- information retrieval
- retrieval precision
- uncertain information
- possibility theory
- maximum likelihood
- image content
- gaussian processes
- bayesian inference
- image collections
- text retrieval
- data sets
- inherent uncertainty
- multiple feature fusion
- bayesian decision
- cbir systems
- content based retrieval
- uncertain data
- image representation