A Ranking-based, Balanced Loss Function Unifying Classification and Localisation in Object Detection.
Kemal OksuzBaris Can CamEmre AkbasSinan KalkanPublished in: CoRR (2020)
Keyphrases
- loss function
- support vector
- learning to rank
- object detection
- hinge loss
- pairwise
- classification accuracy
- pairwise classification
- logistic regression
- feature extraction
- support vector machine
- supervised learning
- feature selection
- ranking models
- machine learning
- empirical risk
- class labels
- training samples
- boosting framework
- classification algorithm
- pattern classification
- benchmark datasets
- multi class
- bayes rule
- feature vectors
- text classification
- convex loss functions
- risk minimization
- decision rules
- cross validation
- kernel function