BT-Unet: A self-supervised learning framework for biomedical image segmentation using Barlow Twins with U-Net models.
Narinder Singh PunnSonali AgarwalPublished in: CoRR (2021)
Keyphrases
- image segmentation
- probabilistic model
- learning frameworks
- learning models
- learning process
- prior knowledge
- main contribution
- accurate models
- learning scheme
- machine learning
- learning systems
- latent variable models
- modeling framework
- learning problems
- model selection
- online learning
- reinforcement learning
- complex systems
- bayesian framework
- multi task
- inductive inference
- learning rules
- supervised learning
- active learning
- computer vision