A co-boost framework for learning object categories from Google Images with 1st and 2nd order features.
Xi LiuZhi-Ping ShiZhongzhi ShiPublished in: Vis. Comput. (2014)
Keyphrases
- object detectors
- object categories
- image features
- test images
- object recognition
- object categorization
- learning algorithm
- image data
- object detection
- search engine
- object classes
- image retrieval
- input image
- image annotation
- pictorial structure
- image regions
- active learning
- prior knowledge
- learning process
- labeled images
- image database
- image understanding
- generative model
- training examples
- spatial information
- feature extraction
- cluttered images
- image classification
- feature vectors
- detecting objects
- computer vision
- supervised learning
- bounding box
- data sets
- low level
- face recognition
- decision trees
- machine learning