Semi-Supervised Semantic Segmentation Using Unreliable Pseudo-Labels.
Yuchao WangHaochen WangYujun ShenJingjing FeiWei LiGuoqiang JinLiwei WuRui ZhaoXinyi LePublished in: CoRR (2022)
Keyphrases
- semantic segmentation
- semi supervised
- weakly supervised
- supervised methods
- superpixels
- conditional random fields
- semi supervised learning
- pairwise
- scene classification
- label transfer
- unlabeled data
- object categories
- labeled data
- active learning
- supervised learning
- generative model
- object class
- multi view
- pascal voc
- object classes
- natural images
- test images
- image set
- object detection
- learning algorithm
- computer vision
- probabilistic model
- multi class
- long range
- image understanding
- machine learning