SALAD : Source-free Active Label-Agnostic Domain Adaptation for Classification, Segmentation and Detection.
Divya KothandaramanSumit ShekharAbhilasha SanchetiManoj GhuhanTripti ShuklaDinesh ManochaPublished in: WACV (2023)
Keyphrases
- domain adaptation
- document classification
- class labels
- multiple sources
- labeled data
- image segmentation
- target domain
- machine learning
- transfer learning
- classification algorithm
- semi supervised learning
- covariate shift
- co training
- cross domain
- supervised learning
- decision trees
- classification accuracy
- text classification
- source domain
- feature extraction
- test data
- feature selection
- label information
- training data
- feature representation
- object recognition
- multi label
- unlabeled data
- image classification
- domain specific
- training set
- support vector
- reinforcement learning
- semi supervised
- training samples
- sentiment classification
- general purpose
- model selection