Measuring Representational Harms in Image Captioning-Reference-Cited by-同舟云学术

Measuring Representational Harms in Image Captioning

Published:2022-06-20 Issue: Volume: Page:
ISSN:
Container-title:2022 ACM Conference on Fairness, Accountability, and Transparency
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Author:

Wang Angelina¹,Barocas Solon²,Laird Kristen³,Wallach Hanna²

Affiliation:

1. Princeton University, USA

2. Microsoft Research, USA

3. Microsoft, USA

Funder

National Science Foundation

Microsoft Research

Microsoft

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3531146.3533099

Reference81 articles.

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3. Peter Anderson , Basura Fernando , Mark Johnson , and Stephen Gould . 2016 . SPICE: Semantic Propositional Image Caption Evaluation. European Conference on Computer Vision (ECCV) (2016). Peter Anderson, Basura Fernando, Mark Johnson, and Stephen Gould. 2016. SPICE: Semantic Propositional Image Caption Evaluation. European Conference on Computer Vision (ECCV) (2016).

4. Peter Anderson , Xiaodong He , Chris Buehler , Damien Teney , Mark Johnson , Stephen Gould , and Lei Zhang . 2018 . Bottom-Up and Top-Down Attention for Image Captioning and Visual Question Answering. IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2018). Peter Anderson, Xiaodong He, Chris Buehler, Damien Teney, Mark Johnson, Stephen Gould, and Lei Zhang. 2018. Bottom-Up and Top-Down Attention for Image Captioning and Visual Question Answering. IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2018).

5. Convolutional Image Captioning

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