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Introducing the MindSet benchmark for comparing DNNs to human vision

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posted on 2024-10-02, 12:45 authored by Valerio Biscione, Don Yin, Gaurav Malhotra, Marin Dujmović, Milton Montero, Guillermo Puebla, Federioc Adolfi, Christian Tsvetkov, Benjamin EvansBenjamin Evans, Jeffrey Bowers

We describe the MindSet benchmark designed to facilitate the testing of DNNs against controlled experiments reported in psychology. MindSet will focus on a range of low-, middle-, and high-level visual findings that provide important constraints for theory, provide the materials for testing DNNs, and provide an example of how to assess a DNN on each experiment using a ResNet152 pre-trained on ImageNet. The goal is not to evaluate how wellResNet152 accounts for human vision, but rather, encourage researchers to assess how well various DNNs account for a range of key human visual phenomena.

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Publication status

  • Published

File Version

  • Accepted version

Journal

2023 Conference on Cognitive Computational Neuroscience

Publisher

Cognitive Computational Neuroscience

Presentation Type

  • paper

Event name

2023 Conference on Cognitive Computational Neuroscience

Event location

Oxford, UK

Event type

conference

Event start date

2023-08-24

Event finish date

2023-08-27

Department affiliated with

  • Informatics Publications

Institution

University of Sussex

Full text available

  • Yes

Peer reviewed?

  • Yes

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