Self Adaptive Threshold Pseudo-labeling and Unreliable Sample Contrastive Loss for Semi-supervised Image Classification.
Xuerong ZhangLi HuangJing LvMing YangPublished in: CoRR (2024)
Keyphrases
- image classification
- semi supervised
- active learning
- label propagation
- unsupervised learning
- labeled samples
- semi supervised learning
- labeled data
- bag of words
- unlabeled data
- image features
- sample selection
- visual features
- image representation
- semi supervised classification
- pairwise
- feature extraction
- co training
- multi view
- sample size
- partially labeled
- subspace learning
- control parameters
- supervised learning
- labeled examples
- labeling scheme
- pairwise constraints
- labeling process
- threshold selection
- multi label
- electric load
- unlabeled samples
- data samples
- bag of features
- training data
- similarity measure