Toward Joint Thing-and-Stuff Mining for Weakly Supervised Panoptic Segmentation.
Yunhang ShenLiujuan CaoZhiwei ChenFeihong LianBaochang ZhangChi SuYongjian WuFeiyue HuangRongrong JiPublished in: CVPR (2021)
Keyphrases
- weakly supervised
- semantic segmentation
- fully supervised
- superpixels
- segmentation algorithm
- topic models
- object class
- level set
- segmentation method
- relation extraction
- semi supervised
- data mining
- text mining
- medical images
- multiscale
- image segmentation
- object segmentation
- conditional random fields
- graph cuts
- shape prior
- object detectors
- energy function
- multiple objects
- test images
- named entities
- markov random field
- knowledge discovery
- image processing
- computer vision
- machine learning