Out-of-distribution Object Detection through Bayesian Uncertainty Estimation.
Tianhao ZhangShenglin WangNidhal BouaynayaRadu CalinescuLyudmila MihaylovaPublished in: CoRR (2023)
Keyphrases
- object detection
- decision theory
- bayesian estimation
- accurate estimation
- parameter estimation
- spatial distribution
- posterior probability
- estimation accuracy
- dempster shafer
- kernel density
- maximum likelihood
- face detection
- probability distribution
- bayesian learning
- prior distribution
- estimation process
- computer vision
- estimation error
- uncertain data
- conditional probabilities
- data distribution
- data driven
- gaussian processes
- density function
- object categories
- probability density function
- multi class
- bayesian networks
- neural network
- beta distribution