Out-of-distribution Object Detection through Bayesian Uncertainty Estimation.
Tianhao ZhangShenglin WangNidhal BouaynayaRadu CalinescuLyudmila MihaylovaPublished in: FUSION (2023)
Keyphrases
- object detection
- decision theory
- bayesian estimation
- dempster shafer
- scene understanding
- expected utility
- object categories
- multi class
- bayesian learning
- face detection
- confidence intervals
- estimation algorithm
- kernel density
- computer vision
- power law
- pedestrian detection
- decision making
- posterior probability
- conditional probabilities
- background subtraction
- probability density
- beta distribution
- maximum likelihood estimation
- belief functions
- spatial distribution
- object classification
- density function
- bayesian inference
- density estimation
- parameter estimation
- maximum likelihood
- probability distribution
- object recognition
- bayesian networks