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We address the challenge of generating fair and unbiased image retrieval results given neutral textual queries (with no explicit gender or race connotations), while maintaining the utility (performance) of the underlying vision-language (VL) model.
A Content-based Image Retrieval using FFT & Cosine Similarity Coefficient.. In SIP . 315–319
Kulwinder Singh, Ming Ma, and Dong-Won Park. 2003 · 2003
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Content-based multimedia information retrieval: State of the art and challenges
Michael S Lew, Nicu Sebe, Chabane Djeraba, and Ramesh Jain. 2006 · 2006
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Active learning methods for interactive image retrieval
Philippe Henri Gosselin and Matthieu Cord. 2008 · 2008
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Devise: A deep visual-semantic embedding model
Andrea Frome, Greg S Corrado, Jon Shlens, Samy Bengio, Jeff Dean, Marc’Aurelio Ranzato, and Tomas Mikolov. 2013 · 2013
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Bag-of-words based deep neural network for image retrieval. In Proceedings of the 22nd ACM international conference on Multimedia . Association for Computing Machinery, New York, NY, USA, 229–232
Yalong Bai, Wei Yu, Tianjun Xiao, Chang Xu, Kuiyuan Yang, Wei-Ying Ma, and Tiejun Zhao. 2014 · 2014
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Certifying and removing disparate impact
Sorelle Friedler, Carlos Scheidegger, and Suresh Venkatasubramanian. 2014 · 2014
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Microsoft coco: Common objects in context. In Computer Vision–ECCV 2014: 13th European Conference, Zurich, Switzerland, September 6-12, 2014, Proceedings, Part V 13 . Springer, 740–755
Tsung-Yi Lin, Michael Maire, Serge Belongie, James Hays, Pietro Perona, Deva Ramanan, Piotr Dollár, and C Lawrence Zitnick. 2014 · 2014
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Microsoft coco captions: Data collection and evaluation server
Xinlei Chen, Hao Fang, Tsung-Yi Lin, Ramakrishna Vedantam, Saurabh Gupta, Piotr Dollár, and C Lawrence Zitnick. 2015 · 2015
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Censoring representations with an adversary
Harrison Edwards and Amos Storkey. 2015 · 2015
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Unequal representation and gender stereotypes in image search results for occupations. In Proceedings of the 33rd annual acm conference on human factors in computing systems . 3819–3828
Matthew Kay, Cynthia Matuszek, and Sean A Munson. 2015 · 2015
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Flickr30k entities: Collecting region-to-phrase correspondences for richer image-to-sentence models. In Proceedings of the IEEE international conference on computer vision . 2641–2649
Bryan A Plummer, Liwei Wang, Chris M Cervantes, Juan C Caicedo, Julia Hockenmaier, and Svetlana Lazebnik. 2015 · 2015
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Muhammad Bilal Zafar, Isabel Valera, Manuel Gomez Rodriguez, and Krishna P Gummadi. 2015 · 2015
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Men also like shopping: Reducing gender bias amplification using corpus-level constraints
Jieyu Zhao, Tianlu Wang, Mark Yatskar, Vicente Ordonez, and Kai-Wei Chang. 2017 · 2015
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Machine bias
Julia Angwin, Jeff Larson, Surya Mattu, and Lauren Kirchner. 2016 · 2016
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Equality of opportunity in supervised learning
Moritz Hardt, Eric Price, and Nati Srebro. 2016 · 2016
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Picturing Religious Diversity: Active Learning Pedagogy and Visual Method
Catherine Holtmann and Nancy Nason-Clark. 2016 · 2016
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Semantics derived automatically from language corpora contain human-like biases
Aylin Caliskan, Joanna J Bryson, and Arvind Narayanan. 2017 · 2017
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Optimized Pre-Processing for Discrimination Prevention. In Advances in Neural Information Processing Systems , I. Guyon, U. Von Luxburg, S. Bengio, H. Wallach, R. Fergus, S. Vishwanathan, and R. Garnett (Eds.), Vol. 30. Curran Associates, Inc
Flavio Calmon, Dennis Wei, Bhanukiran Vinzamuri, Karthikeyan Natesan Ramamurthy, and Kush R Varshney. 2017 · 2017
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Vse++: Improving visual-semantic embeddings with hard negatives
Fartash Faghri, David J Fleet, Jamie Ryan Kiros, and Sanja Fidler. 2017 · 2017
Cited alongside, same era.
Counterfactual fairness
Matt J Kusner, Joshua Loftus, Chris Russell, and Ricardo Silva. 2017 · 2017
Cited alongside, same era.
Attention is all you need. In Advances in neural information processing systems . 6000––6010
Ashish Vaswani, Noam Shazeer, Niki Parmar, Jakob Uszkoreit, Llion Jones, Aidan N Gomez, Łukasz Kaiser, and Illia Polosukhin. 2017 · 2017
Cited alongside, same era.
Gender Shades: Intersectional Accuracy Disparities in Commercial Gender Classification. In Proceedings of the 1st Conference on Fairness, Accountability and Transparency (Proceedings of Machine Learning Research, Vol. 81) , Sorelle A. Friedler and Christo Wilson (Eds.). PMLR, 77–91
Joy Buolamwini and Timnit Gebru. 2018 · 2018
Cited alongside, same era.
Learning transferable visual models from natural language supervision. In International conference on machine learning . PMLR, 8748–8763
Alec Radford, Jong Wook Kim, Chris Hallacy, Aditya Ramesh, Gabriel Goh, Sandhini Agarwal, Girish Sastry, Amanda Askell, Pamela Mishkin, Jack Clark, et al · 2021
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Are gender-neutral queries really gender-neutral? mitigating gender bias in image search
Jialu Wang, Yang Liu, and Xin Eric Wang. 2021a · 2021
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Assessing multilingual fairness in pre-trained multimodal representations
Jialu Wang, Yang Liu, and Xin Eric Wang. 2021b · 2021
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To be robust or to be fair: Towards fairness in adversarial training. In International Conference on Machine Learning . PMLR, 11492–11501
Han Xu, Xiaorui Liu, Yaxin Li, Anil Jain, and Jiliang Tang. 2021 · 2021
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Lisa Anne Hendricks, Kaylee Burns, Kate Saenko, Trevor Darrell, and Anna Rohrbach. 2018 · 2018
Cited alongside, same era.
Stacked cross attention for image-text matching. In Proceedings of the European conference on computer vision (ECCV) . 201–216
Kuang-Huei Lee, Xi Chen, Gang Hua, Houdong Hu, and Xiaodong He. 2018 · 2018
Cited alongside, same era.
Algorithms of oppression
Safiya Umoja Noble. 2018 · 2018
Cited alongside, same era.
Fairness in recommendation ranking through pairwise comparisons. In Proceedings of the 25th ACM SIGKDD international conference on knowledge discovery & data mining . Association for Computing Machinery, New York, NY, USA, 2212–2220
Alex Beutel, Jilin Chen, Tulsee Doshi, Hai Qian, Li Wei, Yi Wu, Lukasz Heldt, Zhe Zhao, Lichan Hong, Ed H Chi, et al · 2019
Cited alongside, same era.
Optimization with Non-Differentiable Constraints with Applications to Fairness, Recall, Churn, and Other Goals
Andrew Cotter, Heinrich Jiang, Maya R Gupta, Serena Wang, Taman Narayan, Seungil You, and Karthik Sridharan. 2019 · 2019
Cited alongside, same era.
A quantum leap for gender equality: For a better future of work for all
International Labour Organization. 2019 · 2019
Cited alongside, same era.
Implementation and comparison of text-based image retrieval schemes
Syed Ali Jafar Zaidi, Attaullah Buriro, Mohammad Riaz, Athar Mahboob, and Mohammad Noman Riaz. 2019 · 2019
Cited alongside, same era.
Implicit diversity in image summarization
L Elisa Celis and Vijay Keswani. 2020 · 2020
Cited alongside, same era.
Understanding and evaluating racial biases in image captioning. In Proceedings of the IEEE/CVF International Conference on Computer Vision . 14830–14840
Dora Zhao, Angelina Wang, and Olga Russakovsky. 2021 · 2021
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A prompt array keeps the bias away: Debiasing vision-language models with adversarial learning
Hugo Berg, Siobhan Mackenzie Hall, Yash Bhalgat, Wonsuk Yang, Hannah Rose Kirk, Aleksandar Shtedritski, and Max Bain. 2022 · 2022
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Image-text retrieval: A survey on recent research and development
Min Cao, Shiping Li, Juntao Li, Liqiang Nie, and Min Zhang. 2022 · 2022
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Elevater: A benchmark and toolkit for evaluating language-augmented visual models
Chunyuan Li, Haotian Liu, Liunian Li, Pengchuan Zhang, Jyoti Aneja, Jianwei Yang, Ping Jin, Houdong Hu, Zicheng Liu, Yong Jae Lee, et al · 2022
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Fair Ranking with Noisy Protected Attributes
Anay Mehrotra and Nisheeth Vishnoi. 2022 · 2022
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Open Vocabulary Semantic Segmentation with Patch Aligned Contrastive Learning
Jishnu Mukhoti, Tsung-Yu Lin, Omid Poursaeed, Rui Wang, Ashish Shah, Philip HS Torr, and Ser-Nam Lim. 2022 · 2022
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Debiasing Methods for Fairer Neural Models in Vision and Language Research: A Survey
Otávio Parraga, Martin D More, Christian M Oliveira, Nathan S Gavenski, Lucas S Kupssinskü, Adilson Medronha, Luis V Moura, Gabriel S Simões, and Rodrigo C Barros. 2022 · 2022
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Junyang Wang, Yi Zhang, and Jitao Sang. 2022 · 2022
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Debiasing vision-language models via biased prompts
Ching-Yao Chuang, Varun Jampani, Yuanzhen Li, Antonio Torralba, and Stefanie Jegelka. 2023 · 2023
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Gurobi Optimizer Reference Manual
Gurobi Optimization, LLC. 2023 · 2023
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Vision-Language Models Performing Zero-Shot Tasks Exhibit Gender-based Disparities
Melissa Hall, Laura Gustafson, Aaron Adcock, Ishan Misra, and Candace Ross. 2023 · 2023
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Exposing and Mitigating Spurious Correlations for Cross-Modal Retrieval
Jae Myung Kim, A Koepke, Cordelia Schmid, and Zeynep Akata. 2023 · 2023
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Toward Fairness in Text Generation via Mutual Information Minimization based on Importance Sampling
Rui Wang, Pengyu Cheng, and Ricardo Henao. 2023 · 2023
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