V2RNet: An Unsupervised Semantic Segmentation Algorithm for Remote Sensing Images via Cross-Domain Transfer Learning.
Danpei ZhaoJiayi LiBo YuanZhenwei ShiPublished in: IGARSS (2021)
Keyphrases
- segmentation algorithm
- cross domain
- transfer learning
- remote sensing images
- change detection
- remote sensing
- multispectral
- learning tasks
- knowledge transfer
- graph cuts
- cross domain text classification
- target domain
- domain adaptation
- labeled data
- semi supervised learning
- image segmentation
- input image
- semi supervised
- sentiment classification
- cross domain learning
- reinforcement learning
- unsupervised learning
- text categorization
- machine learning algorithms
- supervised learning
- machine learning
- watershed algorithm
- unlabeled data
- source domain
- active learning
- collaborative filtering
- semantic similarity
- computer vision
- high resolution
- data analysis
- training data
- domain specific
- watershed segmentation
- text classification
- information retrieval