Experimental Study on the Effect of Loss Function on Object Detection.
Qianyu CaoPublished in: PRIS (2021)
Keyphrases
- experimental study
- loss function
- object detection
- pairwise
- empirical risk
- logistic regression
- support vector
- risk minimization
- boosting framework
- learning to rank
- experimental evaluation
- object categories
- bayes rule
- hinge loss
- reproducing kernel hilbert space
- regularization term
- synthetic datasets
- object class
- stochastic gradient descent
- solution path
- multi class
- boosting algorithms
- computer vision
- model selection
- feature vectors
- training data