Use of superordinate labels yields more robust and human-like visual representations in convolutional neural networks

被引：3

作者：

Ahn, Seoyoung ^{[1
]}

Zelinsky, Gregory J. ^{[1
,2
]}

Lupyan, Gary ^{[3
]}

机构：

[1] SUNY Stony Brook, Dept Psychol, Stony Brook, NY 11794 USA

[2] SUNY Stony Brook, Dept Comp Sci, Stony Brook, NY 11794 USA

[3] Univ Wisconsin, Dept Psychol, 1202 W Johnson St, Madison, WI 53706 USA

来源：

JOURNAL OF VISION | 2021年 / 21卷 / 13期

关键词：

BASIC-LEVEL; CONCEPTUAL KNOWLEDGE; RECOGNITION; LANGUAGE; OBJECTS; CLASSIFICATION; CATEGORIZATION; INVARIANCE; RESPONSES; CONTRAST;

D O I：

10.1167/jov.21.13.13

中图分类号：

R77 [眼科学];

学科分类号：

100212 ;

摘要：

引用

页数：19

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