Attention in hierarchical models of object recognition

被引:45
作者
Walther, Dirk B. [1 ]
Koch, Christof [2 ]
机构
[1] Univ Illinois, Beckman Inst Adv Sci & Technol, Urbana, IL 61801 USA
[2] CALTECH, Div Biol, Pasadena, CA 91125 USA
来源
COMPUTATIONAL NEUROSCIENCE: THEORETICAL INSIGHTS INTO BRAIN FUNCTION | 2007年 / 165卷
基金
美国国家卫生研究院; 美国国家科学基金会;
关键词
attention; object recognition; modeling; object-based attention; bottom-up attention; top-down attention;
D O I
10.1016/S0079-6123(06)65005-X
中图分类号
Q [生物科学];
学科分类号
07 ; 0710 ; 09 ;
摘要
Object recognition and visual attention are tightly linked processes in human perception. Over the last three decades, many models have been suggested to explain these two processes and their interactions, and in some cases these models appear to contradict each other. We suggest a unifying framework for object recognition and attention and review the existing modeling literature in this context. Furthermore, we demonstrate a proof-of-concept implementation for sharing complex features between recognition and attention as a mode of top-down attention to particular objects or object categories.
引用
收藏
页码:57 / 78
页数:22
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