Measuring Representational Harms in Image Captioning

14 June 2022

Papers citing "Measuring Representational Harms in Image Captioning"

22 / 22 papers shown

Title
Building Trustworthy Multimodal AI: A Review of Fairness, Transparency, and Ethics in Vision-Language Tasks Mohammad Saleha Azadeh Tabatabaeib 111 0 0 14 Apr 2025
AI Mismatches: Identifying Potential Algorithmic Harms Before AI Development Devansh Saxena Ji-Youn Jung Jodi Forlizzi Kenneth Holstein John Zimmerman 124 2 0 25 Feb 2025
Understanding and Evaluating Racial Biases in Image Captioning Dora Zhao Angelina Wang Olga Russakovsky 63 138 0 16 Jun 2021
Documenting Large Webtext Corpora: A Case Study on the Colossal Clean Crawled Corpus Jesse Dodge Maarten Sap Ana Marasović William Agnew Gabriel Ilharco Dirk Groeneveld Margaret Mitchell Matt Gardner AILaw 118 448 0 18 Apr 2021
Long-Tailed Classification by Keeping the Good and Removing the Bad Momentum Causal Effect Kaihua Tang Jianqiang Huang Hanwang Zhang CML 101 446 0 28 Sep 2020
Language (Technology) is Power: A Critical Survey of "Bias" in NLP Su Lin Blodgett Solon Barocas Hal Daumé Hanna M. Wallach 155 1,248 0 28 May 2020
Oscar: Object-Semantics Aligned Pre-training for Vision-Language Tasks Xiujun Li Xi Yin Chunyuan Li Pengchuan Zhang Xiaowei Hu ... Houdong Hu Li Dong Furu Wei Yejin Choi Jianfeng Gao VLM 126 1,944 0 13 Apr 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 124 320 0 16 Dec 2019
Measurement and Fairness Abigail Z. Jacobs Hanna M. Wallach 80 394 0 11 Dec 2019
Exposing and Correcting the Gender Bias in Image Captioning Datasets and Models Shruti Bhargava David A. Forsyth FaML 60 50 0 02 Dec 2019
Turning a Blind Eye: Explicit Removal of Biases and Variation from Deep Neural Network Embeddings Mohsan S. Alvi Andrew Zisserman C. Nellåker FaML 123 248 0 06 Sep 2018
Learning to Evaluate Image Captioning Huayu Chen Guandao Yang Andreas Veit Xun Huang Serge J. Belongie 70 148 0 17 Jun 2018
Discriminability objective for training descriptive captions Ruotian Luo Brian L. Price Scott D. Cohen Gregory Shakhnarovich 104 203 0 12 Mar 2018
Convolutional Image Captioning J. Aneja Aditya Deshpande Alex Schwing VLM 135 361 0 24 Nov 2017
Bottom-Up and Top-Down Attention for Image Captioning and Visual Question Answering Peter Anderson Xiaodong He Chris Buehler Damien Teney Mark Johnson Stephen Gould Lei Zhang AIMat 121 4,220 0 25 Jul 2017
Knowing When to Look: Adaptive Attention via A Visual Sentinel for Image Captioning Jiasen Lu Caiming Xiong Devi Parikh R. Socher 130 1,454 0 06 Dec 2016
SPICE: Semantic Propositional Image Caption Evaluation Peter Anderson Basura Fernando Mark Johnson Stephen Gould EGVM 106 1,918 0 29 Jul 2016
Image Captioning with Semantic Attention Quanzeng You Hailin Jin Zhaowen Wang Chen Fang Jiebo Luo VLM 174 71 0 12 Mar 2016
Describing Common Human Visual Actions in Images M. R. Ronchi Pietro Perona 78 64 0 07 Jun 2015
Microsoft COCO Captions: Data Collection and Evaluation Server Xinlei Chen Hao Fang Nayeon Lee Ramakrishna Vedantam Saurabh Gupta Piotr Dollar C. L. Zitnick 218 2,489 0 01 Apr 2015
CIDEr: Consensus-based Image Description Evaluation Ramakrishna Vedantam C. L. Zitnick Devi Parikh 297 4,508 0 20 Nov 2014
Show and Tell: A Neural Image Caption Generator Oriol Vinyals Alexander Toshev Samy Bengio D. Erhan 3DV 252 6,035 0 17 Nov 2014