DeAR: Debiasing Vision-Language Models with Additive Residuals-Reference-Cited by-同舟云学术

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DeAR: Debiasing Vision-Language Models with Additive Residuals

Published:2023-06 Issue: Volume: Page:
ISSN:
Container-title:2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
language:
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Author:

Seth Ashish¹,Hemani Mayur²,Agarwal Chirag²

Affiliation:

1. IIT Madras,India

2. Adobe Inc.

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10203037/10203050/10204258.pdf?arnumber=10204258

Reference63 articles.

1. ImageNet: A large-scale hierarchical image database

2. Barlow twins: Self-supervised learning via redundancy reduction;zbontar;ICML,2021

3. Fine-grained Image Captioning with CLIP Reward

4. Bert: Pre-training of deep bidirectional transformers for language understanding;devlin;ArXiv,2018

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2. Embracing Diversity: Interpretable Zero-shot Classification Beyond One Vector Per Class;The 2024 ACM Conference on Fairness, Accountability, and Transparency;2024-06-03

3. Evaluating the Fairness of Discriminative Foundation Models in Computer Vision;Proceedings of the 2023 AAAI/ACM Conference on AI, Ethics, and Society;2023-08-08

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