Multi-label Iterated Learning for Image Classification with Label Ambiguity.
Sai RajeswarPau RodríguezSoumye SinghalDavid VázquezAaron C. CourvillePublished in: CoRR (2021)
Keyphrases
- multi label
- image classification
- learning tasks
- multi label learning
- multi label classification
- text categorization
- label ranking
- binary classification
- graph cuts
- image annotation
- label space
- learning process
- multi instance
- image representation
- learning problems
- max margin
- multiple labels
- class labels
- single label classification
- learning algorithm
- feature extraction
- computer vision
- hierarchical text categorization
- label assignment
- data sets
- image segmentation
- neural network
- data mining
- information retrieval
- feature selection
- reinforcement learning
- feature vectors
- knn
- text mining
- text classification
- visual features