An End-to-end Supervised Domain Adaptation Framework for Cross-Domain Change Detection.
Jia LiuWenjie XuanYuhang GanYibing ZhanJuhua LiuBo DuPublished in: Pattern Recognit. (2022)
Keyphrases
- cross domain
- domain adaptation
- end to end
- change detection
- sentiment classification
- transfer learning
- remote sensing
- cross domain text classification
- target domain
- knowledge transfer
- text categorization
- semi supervised
- data streams
- supervised learning
- e government
- source domain
- pairwise
- data sets
- feature vectors
- multiple sources
- test data
- training set
- unlabeled data
- feature extraction
- unsupervised learning
- image processing