Boosting R-CNN: Reweighting R-CNN Samples by RPN's Error for Underwater Object Detection.
Pinhao SongHong LiuLinhui DaiTao WangZhan ChenPublished in: CoRR (2022)
Keyphrases
- object detection
- cellular neural networks
- convolutional neural network
- face detection
- ensemble learning
- data sets
- learning algorithm
- centroid neural network
- training samples
- base classifiers
- error bounds
- boosted classifiers
- object classification
- fixed point
- feature selection
- computer vision
- object categories
- error rate
- multi class
- object recognition
- training error
- underwater acoustic
- training data
- object detection and pose estimation