AP-Semi: Improving the Semi-Supervised Semantic Segmentation for VHR Images Through Adaptive Data Augmentation and Prototypical Sample Guidance.
Lubin BaiHaoyu WangXiuyuan ZhangWei QinBo LiuShihong DuPublished in: IEEE Trans. Geosci. Remote. Sens. (2024)
Keyphrases
- image data
- data sets
- aerial images
- high quality
- semi supervised
- small number
- street scenes
- semantic segmentation
- change detection
- data points
- ground truth
- image database
- image analysis
- training data
- image features
- image registration
- image classification
- training examples
- image set
- image annotation
- object class
- pixel level
- computer vision
- learning algorithm