Why is Real-World Visual Object Recognition Hard?

Nicolas Pinto; David D Cox; James J DiCarlo

doi:10.1371/journal.pcbi.0040027

Loading metrics

Open Access

Peer-reviewed

Research Article

Why is Real-World Visual Object Recognition Hard?

Nicolas Pinto ,

Contributed equally to this work with: Nicolas Pinto, David D Cox

Affiliations McGovern Institute for Brain Research, Massachusetts Institute of Technology, Cambridge, Massachusetts, United States of America , Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology, Cambridge, Massachusetts, United States of America
⨯
David D Cox ,

Contributed equally to this work with: Nicolas Pinto, David D Cox

Affiliations McGovern Institute for Brain Research, Massachusetts Institute of Technology, Cambridge, Massachusetts, United States of America , Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology, Cambridge, Massachusetts, United States of America , The Rowland Institute at Harvard, Cambridge, Massachusetts, United States of America
⨯
James J DiCarlo

*To whom correspondence should be addressed. E-mail: dicarlo@mit.edu

Affiliations McGovern Institute for Brain Research, Massachusetts Institute of Technology, Cambridge, Massachusetts, United States of America , Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology, Cambridge, Massachusetts, United States of America
⨯

Why is Real-World Visual Object Recognition Hard?

Nicolas Pinto,
David D Cox,
James J DiCarlo

Published: January 25, 2008
https://doi.org/10.1371/journal.pcbi.0040027

About the Authors

Nicolas Pinto

Contributed equally to this work with: Nicolas Pinto, David D Cox

Affiliations McGovern Institute for Brain Research, Massachusetts Institute of Technology, Cambridge, Massachusetts, United States of America , Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology, Cambridge, Massachusetts, United States of America

David D Cox

Contributed equally to this work with: Nicolas Pinto, David D Cox

James J DiCarlo

*To whom correspondence should be addressed. E-mail: dicarlo@mit.edu

Competing Interests

The authors have declared that no competing interests exist.

Author Contributions

NP, DDC, and JJD conceived and designed the experiments and wrote the paper. NP performed the experiments, and analyzed the data. NP and DDC contributed analysis tools.

Subject Areas
?

For more information about PLOS Subject Areas, click here.
We want your feedback. Do these Subject Areas make sense for this article? Click the target next to the incorrect Subject Area and let us know. Thanks for your help!

Visual object recognition
Is the Subject Area "Visual object recognition" applicable to this article?

Thanks for your feedback.
Human performance
Is the Subject Area "Human performance" applicable to this article?

Thanks for your feedback.
Computer object recognition
Is the Subject Area "Computer object recognition" applicable to this article?

Thanks for your feedback.
Principal component analysis
Is the Subject Area "Principal component analysis" applicable to this article?

Thanks for your feedback.
Support vector machines
Is the Subject Area "Support vector machines" applicable to this article?

Thanks for your feedback.
Vision
Is the Subject Area "Vision" applicable to this article?

Thanks for your feedback.
Grayscale
Is the Subject Area "Grayscale" applicable to this article?

Thanks for your feedback.
Primates
Is the Subject Area "Primates" applicable to this article?

Thanks for your feedback.