Cross-City Matters: A Multimodal Remote Sensing Benchmark Dataset for Cross-City Semantic Segmentation using High-Resolution Domain Adaptation Networks.
Danfeng HongBing ZhangHao LiYuxuan LiJing YaoChenyu LiMartin WernerJocelyn ChanussotAlexander ZipfXiao Xiang ZhuPublished in: CoRR (2023)
Keyphrases
- target domain
- remote sensing
- domain adaptation
- high resolution
- benchmark datasets
- cross domain
- transfer learning
- labeled data
- multiple sources
- semantic segmentation
- satellite images
- image fusion
- unlabeled data
- image processing
- image analysis
- semi supervised learning
- super resolution
- small number
- face images
- image registration
- pairwise
- training set
- multiscale
- face recognition
- decision trees
- data mining