Influence of Manual Inter-Observer Variability for the Performance of Deep Learning Models in Semantic Segmentation.
Catalin StoeanNebojsa BacaninRuxandra StoeanLeonard IonescuAlina-Maria GarauCristina-Camelia GhitescuPublished in: SYNASC (2023)
Keyphrases
- learning models
- semantic segmentation
- inter observer variability
- conditional random fields
- superpixels
- hidden markov models
- graphical models
- learning tasks
- information extraction
- loss function
- probabilistic model
- markov random field
- higher order
- pairwise
- learning algorithm
- machine learning algorithms
- classification models
- object categories
- generative model
- semi supervised learning
- machine learning
- information retrieval
- segmentation method
- image processing
- deformable models
- semi supervised
- ground truth
- object segmentation
- training data