Investigating Self-Supervised Methods for Label-Efficient Learning.
Srinivasa Rao NandamSara AtitoZhenhua FengJosef KittlerMuhammad AwaisPublished in: CoRR (2024)
Keyphrases
- efficient learning
- supervised methods
- labeled data
- semantic segmentation
- semi supervised
- methods require
- object class
- word sense disambiguation
- weakly supervised
- class labels
- labor intensive
- labeled training data
- semi supervised learning
- active learning
- multi label
- learning algorithm
- object detection
- text classification
- data mining
- pairwise
- training data
- pattern languages
- artificial intelligence
- conditional random fields
- membership queries
- scene classification
- superpixels
- classification models
- unlabeled data
- object recognition
- decision trees
- machine learning