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Object Vision in a Structured World
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DOI：10.1016/j.tics.2019.04.013.png)
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摘要
En 中文
In natural vision, objects appear at typical locations, both with respect to visual space (e.g., an airplane in the upper part of a scene) and other objects (e.g., a lamp above a table). Recent studies have shown that object vision is strongly adapted to such positional regularities. In this review we synthesize these developments, highlighting that adaptations to positional regularities facilitate object detection and recognition, and sharpen the representations of objects in visual cortex. These effects are pervasive across various types of high-level content. We posit that adaptations to real-world structure collectively support optimal usage of limited cortical processing resources. Taking positional regularities into account will thus be essential for understanding efficient object vision in the real world.
Keyword:
VISUAL WORKING-MEMORY
DEEP NEURAL-NETWORKS
LONG-TERM-MEMORY
REAL-WORLD
REPRESENTATIONAL ARCHITECTURE
PERCEPTUAL ORGANIZATION
BIASED COMPETITION
TEMPORAL CORTEX
FUSIFORM GYRUS
HUMAN BRAIN
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17.2
论文数:
3.6K
被引数:
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