Are Bayesian neural networks intrinsically good at out-of-distribution detection?
Christian HenningFrancesco D'AngeloBenjamin F. GrewePublished in: CoRR (2021)
Keyphrases
- neural network
- detection accuracy
- detection algorithm
- detection method
- pattern recognition
- multilayer perceptron
- false positives
- prior distribution
- false alarms
- probability distribution
- anomaly detection
- input pattern
- automatic detection
- detection rate
- back propagation
- artificial neural networks
- genetic algorithm
- face detection
- self organizing maps
- radial basis function
- graphical models
- markov random field
- neural network model
- object detection
- gaussian distribution
- posterior distribution
- object recognition
- multi layer perceptron
- bayesian estimation
- computer vision