Semantic Segmentation with Labeling Uncertainty and Class Imbalance.
Patrik Olã BressanJosé Marcato JuniorJosé Augusto Correa MartinsDiogo Nunes GonçalvesDaniel Matte FreitasLucas Prado OscoJonathan de Andrade SilvaZhipeng LuoJonathan LiRaymundo Cordero GarciaWesley Nunes GonçalvesPublished in: CoRR (2021)
Keyphrases
- semantic segmentation
- class imbalance
- active learning
- class distribution
- superpixels
- conditional random fields
- scene classification
- cost sensitive
- weakly supervised
- object categories
- high dimensionality
- pascal voc
- object class
- feature selection
- concept drift
- object classes
- object recognition
- bag of words
- object segmentation
- higher order
- image segmentation
- image set
- machine learning
- training examples
- natural images
- graphical models
- object detection
- input image
- data points
- feature extraction
- image processing
- learning algorithm