CLoDSA: a tool for augmentation in classification, localization, detection, semantic segmentation and instance segmentation tasks.
Ángela CasadoCésar DomínguezManuel García-DominguezJónathan HerasAdrián InésEloy MataVico PascualPublished in: BMC Bioinform. (2019)
Keyphrases
- semantic segmentation
- scene classification
- object detection
- pascal voc
- superpixels
- conditional random fields
- image classification
- weakly supervised
- object classification
- object recognition
- medical images
- machine learning
- level set
- object class
- object categories
- image segmentation
- decision trees
- sparse representation
- segmentation method
- higher order
- pixel level
- multiscale
- graphical models
- image set
- object segmentation
- feature vectors
- training set
- feature space
- feature selection