Can Triplet Loss Be Used for Multi-Label Few-Shot Classification? A Case Study.
Gergely Márk CsányiRenátó VágiAndrea MegyeriAnna FülöpDániel NagyJános Pál VadászIstván ÜvegesPublished in: Inf. (2023)
Keyphrases
- multi label
- multi label classification
- image classification
- class labels
- multi label learning
- text classification
- multi instance
- text categorization
- image annotation
- binary classification
- protein function prediction
- cost sensitive
- graph cuts
- classification algorithm
- classification accuracy
- multiple labels
- multi class classification
- support vector machine
- support vector
- hierarchical text categorization
- machine learning
- training set
- multi modal
- decision trees
- automatic text classification
- image understanding
- semi supervised learning
- supervised learning
- pairwise
- feature space
- object recognition
- training data
- feature extraction