Cluster, Split, Fuse, and Update: Meta-Learning for Open Compound Domain Adaptive Semantic Segmentation.
Rui GongYuhua ChenDanda Pani PaudelYawei LiAjad ChhatkuliWen LiDengxin DaiLuc Van GoolPublished in: CoRR (2020)
Keyphrases
- meta learning
- semantic segmentation
- inductive learning
- model selection
- learning tasks
- superpixels
- decision trees
- data mining
- weakly supervised
- scene classification
- machine learning algorithms
- feature selection
- conditional random fields
- metamodel
- active learning
- information retrieval
- object classes
- machine learning
- learning algorithm
- image set
- computer vision
- probabilistic model
- prior knowledge
- learning process
- multiscale