SOOD++: Leveraging Unlabeled Data to Boost Oriented Object Detection.
Dingkang LiangWei HuaChunsheng ShiZhikang ZouXiaoqing YeXiang BaiPublished in: CoRR (2024)
Keyphrases
- unlabeled data
- object detection
- semi supervised learning
- labeled data
- semi supervised
- supervised learning
- co training
- active learning
- training data
- text classification
- data points
- semi supervised classification
- labeled training data
- labeled and unlabeled data
- text categorization
- learning algorithm
- labeled examples
- computer vision
- training set
- class labels
- training examples
- object categories
- prior knowledge
- semisupervised learning
- domain adaptation
- object class
- object recognition
- multi class
- supervised and semi supervised
- label propagation
- data sets
- small set of labeled
- labeled data for training
- positive examples
- machine learning
- label information
- supervised learning algorithms
- multi view learning
- unlabeled instances
- decision boundary
- number of labeled examples
- unsupervised learning