papers: employing semantic hierarchy in object recognition

Semantic hierarchy could play an important role in object recognition. For example, if we know mini-van is a type of car, and we have already a model for car vs. the rest of the world, then we only need to differentiate mini-van from the car, which reduces lots of work. Similar idea has been noticed by object recognition researchers and there are several papers in recent years:

• Exploiting object hierarchy: Combining models from different category levels, ICCV 2007
• Learning and using taxonomies for fast visual categorization, CVPR 2008
• Unsupervised discovery of visual object class hierarchies, CVPR 2008
• Constructing category hierarchies for visual recognition, ECCV 2008
• Unsupervised learning of visual taxonomies, CVPR 2008
• Semantic Hierarchies for Visual Object Recognition, CVPR 2007
  
• Latent Topic Random Fields: Learning using a taxonomy of labels, CVPR 2008

where some are listed in Trevor's course page.