Constructing Dynamic Category Hierarchies for Novel Visual Category Discovery
文献类型：会议论文
| 作者 | Jianhua Zhang; Jianwei Zhang; Shengyong Chen; Ying Hu; Haojun Guan |
| 出版日期 | 2012 |
| 会议名称 | International Conference on Intelligent Robots |
| 会议地点 | 葡萄牙 |
| 英文摘要 | Category hierarchies are commonly used to compactly represent large numbers of categories and reduce the complexity of the classification problem. In this paper we introduce a novel and extended application of category hierarchies which is a powerful novel framework developed to construct dynamic category hierarchies and automatically discover novel visual categories. The dynamic is a characteristic of category hierarchies which can facilitate an important cognitive ability, the discovering of novel categories.We develop a constrained hierarchical latent Dirichlet allocation to build accurate category hierarchies. We employ object attributes as features to describe objects, which can transfer knowledge across categories and can efficiently describe novel categories. By combining them in the novel framework, novel visual object categories can be efficiently discovered and described. Extensive experiments based on PASCAL VOC 2008 and the LabelMe image database show the satisfactory performance of the proposed framework. |
| 收录类别 | EI |
| 语种 | 英语 |
| 源URL | [http://ir.siat.ac.cn:8080/handle/172644/3852]  |
| 专题 | 深圳先进技术研究院_集成所 |
| 作者单位 | 2012 |
| 推荐引用方式 GB/T 7714 | Jianhua Zhang,Jianwei Zhang,Shengyong Chen,et al. Constructing Dynamic Category Hierarchies for Novel Visual Category Discovery[C]. 见:International Conference on Intelligent Robots. 葡萄牙. |
入库方式： OAI收割
来源：深圳先进技术研究院
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