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

Hebart, Martin N.; Perkuhn, Jonas; Kaniuth, Philipp

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

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.

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Item Permalink: https://hdl.handle.net/21.11116/0000-000B-2CFA-B Version Permalink: https://hdl.handle.net/21.11116/0000-000B-2CFB-A

Genre: Talk

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Creators:
Hebart, Martin N.¹, Author
Perkuhn, Jonas¹, Author
Kaniuth, Philipp¹, Author

Affiliations:
1Max Planck Research Group Vision and Computational Cognition, MPI for Human Cognitive and Brain Sciences, Max Planck Society, ou_3158378

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Dates: Created: 2022-05

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Title: Annual Meeting of the Vision Science Society (VSS)

Place of Event: St. Pete Beach, FL, USA

Start-/End Date: 2022-05-13 - 2022-05-18

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