Multi-task deep learning for image segmentation using recursive approximation tasks.
Rihuan KeAurélie BugeauNicolas PapadakisMark KirklandPeter SchützCarola-Bibiane SchönliebPublished in: CoRR (2020)
Keyphrases
- multi task
- deep learning
- multi task learning
- image segmentation
- multiple tasks
- learning tasks
- unsupervised learning
- gaussian processes
- multi class
- transfer learning
- computer vision
- learning problems
- machine learning
- multiscale
- feature selection
- learning algorithm
- image processing
- higher order
- weakly supervised
- semi supervised learning
- energy function
- segmentation method
- multi label
- graph cuts
- expectation maximization
- data sets