Finding any Waldo with zero-shot invariant and efficient visual search.

Finding any Waldo with zero-shot invariant and efficient visual search.
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DOI:
10.1038/s41467-018-06217-x
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发表时间:
2018-09-13
影响因子:
16.6
通讯作者:
Kreiman G
Kreiman G
中科院分区:
综合性期刊1区
文献类型:
--
作者:
Zhang M;Feng J;Ma KT;Lim JH;Zhao Q;Kreiman G

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Searching for a target object in a cluttered scene constitutes a fundamental challenge in daily vision. Visual search must be selective enough to discriminate the target from distractors, invariant to changes in the appearance of the target, efficient to avoid exhaustive exploration of the image, and must generalize to locate novel target objects with zero-shot training. Previous work on visual search has focused on searching for perfect matches of a target after extensive category-specific training. Here, we show for the first time that humans can efficiently and invariantly search for natural objects in complex scenes. To gain insight into the mechanisms that guide visual search, we propose a biologically inspired computational model that can locate targets without exhaustive sampling and which can generalize to novel objects. The model provides an approximation to the mechanisms integrating bottom-up and top-down signals during search in natural scenes. Visual search requires recognizing an object “invariantly”, despite changes in its appearance. Here, the authors show that humans can efficiently and invariantly search for objects in complex scenes and introduce a biologically-inspired zero-shot model that captures human eye movements during search.
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