Boosting R-CNN: Reweighting R-CNN samples by RPN's error for underwater object detection.
Pinhao SongPengteng LiLinhui DaiTao WangZhan ChenPublished in: Neurocomputing (2023)
Keyphrases
- cellular neural networks
- object detection
- convolutional neural network
- face detection
- ensemble learning
- error rate
- data sets
- ensemble methods
- centroid neural network
- error bounds
- object categories
- multi class
- base classifiers
- pedestrian detection
- error analysis
- computer vision
- prediction accuracy
- image segmentation
- scene understanding
- boosting algorithms
- audio signals
- error minimization
- machine learning
- neural network