Refining Pseudo Labels With Clustering Consensus Over Generations for Unsupervised Object Re-Identification.
Xiao ZhangYixiao GeYu QiaoHongsheng LiPublished in: CVPR (2021)
Keyphrases
- unsupervised learning
- similar objects
- k means
- data objects
- clustering algorithm
- unsupervised manner
- clustering method
- unsupervised classification
- data clustering
- clustering ensemble
- complex objects
- web objects
- object model
- object tracking
- information bottleneck
- d objects
- information theoretic
- agglomerative clustering
- unsupervised feature selection
- semi supervised
- unsupervised clustering
- cluster ensemble
- supervised classification
- minimum message length
- completely unsupervised
- training data
- object segmentation
- consensus clustering
- cluster validation
- data points
- target object
- partial occlusion
- fuzzy clustering
- cluster analysis
- self organizing maps
- training examples
- cluster labels
- semi supervised learning
- pairwise
- multiple clusterings
- web people search