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Large scale image classification models trained on top of popular datasets such as Imagenet have shown to have a distributional skew which leads to disparities in prediction accuracies across different subsections of population demographics.
Imagenet classification with deep convolutional neural networks
Krizhevsky Alex, Sutskever Ilya, and Geoffrey E Hinton · 2012
Earlier work this paper cites.
ImageNet Large Scale Visual Recognition Challenge
Olga Russakovsky, Jia Deng, Hao Su, Jonathan Krause, Sanjeev Satheesh, Sean Ma, Zhiheng Huang, Andrej Karpathy, Aditya Khosla, Michael Bernstein, Alexander C. Berg, and Li Fei-Fei · 2015
Earlier work this paper cites.
Deep residual learning for image recognition
He Kaiming, Zhang Xiangyu, Ren Shaoqing, and Jian Sun · 2016
Earlier work this paper cites.
"why should I trust you?": Explaining the predictions of any classifier
Marco Tulio Ribeiro, Sameer Singh, and Carlos Guestrin · 2016
Earlier work this paper cites.
The mr2: A multi-racial, mega-resolution database of facial stimuli
Nina Strohminger, Kurt Gray, Vladimir Chituc, Joseph Heffner, Chelsea Schein, and Titus Brooks Heagins · 2016
Earlier work this paper cites.
Shreya Shankar, Yoni Halpern, Eric Breck, James Atwood, Jimbo Wilson, and D Sculley · 2017
Earlier work this paper cites.
Why is my classifier discriminatory?
Irene Chen, Fredrik D Johansson, and David Sontag · 2018
Cited alongside, same era.
Gender shades: Intersectional accuracy disparities in commercial gender classification
Buolamwini J. Gebru T · 2018
Cited alongside, same era.
Squeeze-and-excitation networks
Jie Hu, Li Shen, and Gang Sun · 2018
Cited alongside, same era.
Large-scale celebfaces attributes (celeba) dataset
Ziwei Liu, Ping Luo, Xiaogang Wang, and Xiaoou Tang · 2018
Cited alongside, same era.
Ai can be sexist and racist—it’s time to make it fair, 2018
James Zou and Londa Schiebinger · 2018
Cited alongside, same era.
Inclusive images challenge
Google Research
Cited in the paper.
4th place solution - inclusive-images-challenge
Azat Davletshin · 2019
Later among the works it cites.
Transfusion: Understanding transfer learning for medical imaging
Maithra Raghu, Chiyuan Zhang, Jon Kleinberg, and Samy Bengio · 2019
Later among the works it cites.
The politics of images in machine learning training sets
Kate Crawford and Trevor Paglen · 2020
Later among the works it cites.
The open images dataset v4: Unified image classification, object detection, and visual relationship detection at scale
Alina Kuznetsova, Hassan Rom, Neil Alldrin, Jasper Uijlings, Ivan Krasin, Jordi Pont-Tuset, Shahab Kamali, Stefan Popov, Matteo Malloci, Alexander Kolesnikov, Tom Duerig, and Vittorio Ferrari · 2020
Later among the works it cites.
The challenges of using machine learning to identify gender in images
Stefan Wojcik and Emma Remy · 2020
Later among the works it cites.
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