Bayesian deep learning for semantic segmentation of food images.
Eduardo AguilarBhalaji NagarajanBeatriz RemeseiroPetia RadevaPublished in: Comput. Electr. Eng. (2022)
Keyphrases
- deep learning
- weakly supervised
- semantic segmentation
- input image
- image database
- multiple images
- superpixels
- image classification
- image features
- bounding box
- image retrieval
- object recognition
- segmentation algorithm
- region of interest
- image set
- test images
- image understanding
- bayesian networks
- segmentation method
- image annotation
- lighting conditions
- spatial information
- image regions
- machine learning
- unsupervised learning
- maximum likelihood
- d objects
- training data
- computer vision