Penalizing Proposals using Classifiers for Semi-Supervised Object Detection.
Somnath HazraPallab DasguptaPublished in: CoRR (2022)
Keyphrases
- semi supervised
- object detection
- co training
- semi supervised support vector machines
- labeled and unlabeled data
- semi supervised learning
- unlabeled samples
- semi supervised dimensionality reduction
- partially labeled data
- boosted classifiers
- labeled samples
- labeled data
- unlabeled data
- unsupervised learning
- svm classifier
- support vector
- training data
- pairwise
- object detectors
- face detection
- computer vision
- labeled training data
- decision trees
- training set
- class labels
- classifier combination
- scene understanding
- labeled examples
- active learning
- boosting framework
- supervised learning
- feature set
- semi supervised classification
- naive bayes
- decision boundary
- training samples
- pairwise constraints
- multi view
- kernel logistic regression
- object recognition
- label information
- machine learning algorithms
- roc curve
- pedestrian detection
- classification algorithm
- test set
- classifier ensemble
- ensemble classifier
- semi supervised clustering
- linear classifiers
- supervised classification
- metric learning
- multi class
- background subtraction