Semantic Segmentation of Crops and Weeds with Probabilistic Modeling and Uncertainty Quantification.
Ekin CelikkanMohammadmehdi SaberioonMartin HeroldNadja KleinPublished in: ICCV (Workshops) (2023)
Keyphrases
- probabilistic modeling
- semantic segmentation
- probabilistic model
- conditional random fields
- superpixels
- scene classification
- label transfer
- parameter learning
- bayesian inference
- weakly supervised
- bayesian networks
- graphical models
- object categories
- object class
- object classes
- natural images
- long range
- higher order
- object recognition
- multiscale
- topic models
- image classification
- image features