PestNet: An End-to-End Deep Learning Approach for Large-Scale Multi-Class Pest Detection and Classification.
Liu LiuRujing WangChengjun XiePo YangFangyuan WangSud SudirmanWancai LiuPublished in: IEEE Access (2019)
Keyphrases
- end to end
- multi class
- deep learning
- text localization and recognition
- multi class classifier
- multi class classification
- binary classifiers
- binary and multi class
- support vector machine
- object detection
- cost sensitive
- multiple classes
- multi class boosting
- unsupervised learning
- feature selection
- machine learning
- multi class object detection
- classification accuracy
- binary classification
- real world
- error correcting output codes
- support vector
- base classifiers
- pairwise
- multi class problems
- decision trees
- feature vectors
- image classification
- object recognition
- pattern recognition
- supervised learning
- text classification