Leveling down in computer vision: Pareto inefficiencies in fair deep classifiers

A benchmark for assessing the performance of fairness mitigation methods in computer vision.

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Cite this as

Dominik Zietlow, Michael Lohaus, Guha Balakrishnan, Matth¨aus Kleindessner, Francesco Locatello, Bernhard Sch¨olkopf, Chris Russell (2025). Dataset: Leveling down in computer vision: Pareto inefficiencies in fair deep classifiers. https://doi.org/10.57702/o9jwzgnm

DOI retrieved: January 2, 2025

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Created January 2, 2025
Last update January 2, 2025
Defined In https://doi.org/10.48550/arXiv.2303.14411
Author Dominik Zietlow
More Authors
Michael Lohaus
Guha Balakrishnan
Matth¨aus Kleindessner
Francesco Locatello
Bernhard Sch¨olkopf
Chris Russell