An Empirical Study on the Efficacy of Deep Active Learning for Image Classification.
Yu LiMuxi ChenYannan LiuDaojing HeQiang XuPublished in: CoRR (2022)
Keyphrases
- image classification
- active learning
- image representation
- visual features
- bag of words
- feature extraction
- learning strategies
- image features
- sparse coding
- visual words
- relevance feedback
- training examples
- learning algorithm
- experimental design
- supervised learning
- active learning strategies
- selective sampling
- training set
- random sampling
- learning process
- multi label
- machine learning
- imbalanced data classification
- deep learning
- music emotion classification
- pool based active learning
- svm classification
- transfer learning
- semi supervised
- class imbalance
- bag of features
- cost sensitive
- support vector
- batch mode active learning
- sparse representation
- unlabeled data
- semi supervised learning