Reinforcement learning for instance segmentation with high-level priors.
Paul HiltMaedeh ZarvandiEdgar KaziakhmedovSourabh BhideMaria LeptinConstantin PapeAnna KreshukPublished in: ICCV (Workshops) (2023)
Keyphrases
- reinforcement learning
- high level
- low level
- prior information
- function approximation
- multiscale
- segmentation method
- segmentation accuracy
- medical images
- level set
- programming language
- higher level
- segmentation errors
- learning algorithm
- object segmentation
- prior model
- fully unsupervised
- region growing
- image segmentation
- neural network
- fully automatic
- motion segmentation
- energy function
- lower level
- model free
- optimal segmentation
- markov decision processes
- grey level
- supervised learning
- reinforcement learning algorithms
- prior knowledge
- intermediate level
- brain mri
- low level image processing