What Uncertainties Do We Need in Bayesian Deep Learning for Computer Vision?
Alex KendallYarin GalPublished in: CoRR (2017)
Keyphrases
- deep learning
- computer vision
- machine learning
- unsupervised learning
- object recognition
- unsupervised feature learning
- mental models
- object detection
- bayesian networks
- weakly supervised
- image processing
- restricted boltzmann machine
- pattern recognition
- viewpoint
- image segmentation
- deep architectures
- image features
- maximum likelihood
- information extraction
- higher order
- conditional random fields
- feature selection