Revisiting Class Imbalance for End-to-end Semi-Supervised Object Detection.
Purbayan KarVishal ChudasamaNaoyuki OnoePankaj WasnikPublished in: CVPR Workshops (2023)
Keyphrases
- end to end
- class imbalance
- semi supervised
- object detection
- active learning
- class distribution
- semi supervised learning
- unlabeled data
- cost sensitive learning
- computer vision
- cost sensitive
- pairwise
- labeled data
- imbalanced datasets
- supervised learning
- multi class
- co training
- congestion control
- concept drift
- sampling methods
- object recognition
- unsupervised learning
- minority class
- training examples
- machine learning
- feature selection
- learning algorithm
- learning process
- high dimensionality
- training set
- data analysis
- neural network