TransFGU: A Top-Down Approach to Fine-Grained Unsupervised Semantic Segmentation.
Zhaoyuan YinPichao WangFan WangXianzhe XuHanling ZhangHao LiRong JinPublished in: ECCV (24) (2022)
Keyphrases
- fine grained
- semantic segmentation
- supervised methods
- weakly supervised
- coarse grained
- superpixels
- conditional random fields
- label transfer
- access control
- scene classification
- object categories
- semi supervised
- object class
- pascal voc
- topic models
- object classes
- object detection
- relation extraction
- image understanding
- machine learning
- generative model
- supervised learning
- object segmentation
- probabilistic model
- data lineage
- information retrieval
- segmentation method
- wordnet
- object recognition
- multiscale