English
 
Help Privacy Policy Disclaimer
  Advanced SearchBrowse

Item

ITEM ACTIONSEXPORT

Released

Talk

Efficiently-generated object similarity scores predicted from human feature ratings and deep neural network activations

MPS-Authors
/persons/resource/persons242545

Hebart,  Martin N.       
Max Planck Research Group Vision and Computational Cognition, MPI for Human Cognitive and Brain Sciences, Max Planck Society;

Perkuhn,  Jonas
Max Planck Research Group Vision and Computational Cognition, MPI for Human Cognitive and Brain Sciences, Max Planck Society;

/persons/resource/persons251088

Kaniuth,  Philipp       
Max Planck Research Group Vision and Computational Cognition, MPI for Human Cognitive and Brain Sciences, Max Planck Society;

External Resource
No external resources are shared
Fulltext (restricted access)
There are currently no full texts shared for your IP range.
Fulltext (public)
There are no public fulltexts stored in PuRe
Supplementary Material (public)
There is no public supplementary material available
Citation

Hebart, M. N., Perkuhn, J., & Kaniuth, P. (2022). Efficiently-generated object similarity scores predicted from human feature ratings and deep neural network activations. Talk presented at Annual Meeting of the Vision Science Society (VSS). St. Pete Beach, FL, USA. 2022-05-13 - 2022-05-18.


Cite as: https://hdl.handle.net/21.11116/0000-000B-2CFA-B
Abstract
There is no abstract available