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After the viewpoint debate: where next in object recognition?

机译:在观点辩论之后:物体识别中的下一步?

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摘要

A debate on whether object representations capture isolated viewpoints or ranges of views has dominated research in object recognition in recent years, but now seems to be waning. Rather than assume a narrow model in which either structural or view information is used to recognize an object, researchers have begun to examine how these properties might be used cooperatively. A recent paper by Foster and Gilson confirms sensitivity to both types of information, which combine in an additive framework to predict recognition performance.
机译:近年来,关于对象表示是否捕获孤立的观点或观点范围的争论主导了对象识别的研究,但现在似乎正在减弱。研究人员已经开始研究如何可以协同使用这些属性,而不是假设使用结构或视图信息来识别对象的狭窄模型。福斯特(Foster)和吉尔森(Gilson)最近发表的一篇论文证实了对两种信息的敏感性,这些信息结合在一个附加框架中以预测识别性能。

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