Multi-Task Deep Learning for Image Segmentation Using Recursive Approximation Tasks.
Rihuan KeAurélie BugeauNicolas PapadakisMark KirklandPeter SchützCarola-Bibiane SchönliebPublished in: IEEE Trans. Image Process. (2021)
Keyphrases
- multi task
- deep learning
- multi task learning
- image segmentation
- multiple tasks
- learning tasks
- transfer learning
- machine learning
- multi class
- learning problems
- unsupervised learning
- gaussian processes
- feature selection
- markov random field
- supervised learning
- segmentation algorithm
- text categorization
- graph cuts
- kernel methods
- segmentation method
- information gain
- active learning
- recommender systems
- pairwise
- weakly supervised
- multiscale
- learning algorithm