When CNN Meet with ViT: Towards Semi-supervised Learning for Multi-class Medical Image Semantic Segmentation.
Ziyang WangTianze LiJian-Qing ZhengBaoru HuangPublished in: ECCV Workshops (7) (2022)
Keyphrases
- multi class
- semi supervised learning
- medical images
- semantic segmentation
- semi supervised
- object detection
- conditional random fields
- pascal voc
- unlabeled data
- weakly supervised
- superpixels
- pairwise
- labeled data
- object categories
- scene classification
- supervised learning
- machine learning
- object class
- training data
- support vector machine
- unsupervised learning
- text categorization
- active learning
- object segmentation
- object classes
- generative model
- image processing
- image understanding
- visual features
- learning algorithm
- feature selection
- information extraction
- data points
- feature vectors
- object recognition
- multiscale
- bayesian networks