1. U-Net: convolutional networks for biomedical image segmentation;Ronneberger,2015
2. DeepLab: semantic image segmentation with deep convolutional nets, atrous convolution, and fully connected CRFs;Chen;IEEE Trans. Pattern Anal. Mach. Intell.,2018
3. Combining labeled and unlabeled data with Co-training;Blum,1998
4. Co-training using prosodic and lexical information for sentence segmentation;Guz,2007
5. Multi-view semi-supervised learning for dialog act segmentation of speech;Guz,2010