An end-to-end deep generative approach with meta-learning optimization for zero-shot object classification.
Xiaofeng XuXianglin BaoXingyu LuRuiheng ZhangXinquan ChenGuifu LuPublished in: Inf. Process. Manag. (2023)
Keyphrases
- end to end
- object classification
- meta learning
- object categories
- inductive learning
- learning tasks
- object recognition
- model selection
- generative model
- decision trees
- machine learning algorithms
- machine learning
- object detection
- feature selection
- training examples
- face recognition
- data mining
- unsupervised learning
- image classification
- metamodel
- pedestrian detection
- computer vision