Does Object Recognition Work for Everyone?

Does Object Recognition Work for Everyone?

6 June 2019

Terrance Devries

L. V. D. van der Maaten

Papers citing "Does Object Recognition Work for Everyone?"

10 / 160 papers shown

Title
Meta-Learning in Neural Networks: A Survey Timothy M. Hospedales Antreas Antoniou P. Micaelli Amos Storkey OOD 38 1,926 0 11 Apr 2020
Don't Judge an Object by Its Context: Learning to Overcome Contextual Bias Krishna Kumar Singh D. Mahajan Kristen Grauman Yong Jae Lee Matt Feiszli Deepti Ghadiyaram 19 107 0 09 Jan 2020
Deep Learning for Free-Hand Sketch: A Survey Peng-Tao Xu Timothy M. Hospedales Qiyue Yin Yi-Zhe Song Tao Xiang Liang Wang 3DV 22 118 0 08 Jan 2020
Towards Fairer Datasets: Filtering and Balancing the Distribution of the People Subtree in the ImageNet Hierarchy Kaiyu Yang Klint Qinami Li Fei-Fei Jia Deng Olga Russakovsky 10 315 0 16 Dec 2019
On Generalizing Detection Models for Unconstrained Environments Prajjwal Bhargava OOD 8 6 0 28 Sep 2019
What is the Point of Fairness? Disability, AI and The Complexity of Justice Cynthia L. Bennett O. Keyes 9 59 0 02 Aug 2019
Toward Fairness in AI for People with Disabilities: A Research Roadmap Anhong Guo Ece Kamar Jennifer Wortman Vaughan Hanna M. Wallach Meredith Ringel Morris 8 114 0 04 Jul 2019
Word Translation Without Parallel Data Alexis Conneau Guillaume Lample MarcÁurelio Ranzato Ludovic Denoyer Hervé Jégou 169 1,635 0 11 Oct 2017
Fair prediction with disparate impact: A study of bias in recidivism prediction instruments Alexandra Chouldechova FaML 201 2,082 0 24 Oct 2016
Fairness Constraints: Mechanisms for Fair Classification Muhammad Bilal Zafar Isabel Valera Manuel Gomez Rodriguez Krishna P. Gummadi FaML 114 49 0 19 Jul 2015