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: CVPR (2021)
Keyphrases
- meta learning
- semantic segmentation
- inductive learning
- learning tasks
- model selection
- decision trees
- machine learning algorithms
- conditional random fields
- superpixels
- scene classification
- weakly supervised
- machine learning
- image set
- base classifiers
- data mining
- image processing
- feature selection
- markov random field
- knowledge acquisition
- supervised learning
- object recognition
- metamodel
- information retrieval