Explaining CLIP's performance disparities on data from blind/low vision
users

Explaining CLIP's performance disparities on data from blind/low vision users

29 November 2023

Daniela Massiceti

Camilla Longden

Agnieszka Slowik

Papers citing "Explaining CLIP's performance disparities on data from blind/low vision users"

10 / 10 papers shown

Title
Misfitting With AI: How Blind People Verify and Contest AI Errors Rahaf Alharbi P. Lor Jaylin Herskovitz S. Schoenebeck Robin Brewer 29 10 0 13 Aug 2024
Understanding How Blind Users Handle Object Recognition Errors: Strategies and Challenges Jonggi Hong Hernisa Kacorri HAI 26 2 0 06 Aug 2024
Social Biases through the Text-to-Image Generation Lens Ranjita Naik Besmira Nushi 89 111 0 30 Mar 2023
What does a platypus look like? Generating customized prompts for zero-shot image classification Sarah M Pratt Ian Covert Rosanne Liu Ali Farhadi VLM 116 211 0 07 Sep 2022
The CLEAR Benchmark: Continual LEArning on Real-World Imagery Zhiqiu Lin Jia Shi Deepak Pathak Deva Ramanan CLL VLM 126 91 0 17 Jan 2022
ImageNet-21K Pretraining for the Masses T. Ridnik Emanuel Ben-Baruch Asaf Noy Lihi Zelnik-Manor SSeg VLM CLIP 154 676 0 22 Apr 2021
Scaling Up Visual and Vision-Language Representation Learning With Noisy Text Supervision Chao Jia Yinfei Yang Ye Xia Yi-Ting Chen Zarana Parekh Hieu H. Pham Quoc V. Le Yun-hsuan Sung Zhen Li Tom Duerig VLM CLIP 293 2,875 0 11 Feb 2021
Assessing Image Quality Issues for Real-World Problems Tai-Yin Chiu Yinan Zhao Danna Gurari 40 48 0 27 Mar 2020
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn Pieter Abbeel Sergey Levine OOD 237 11,568 0 09 Mar 2017
ImageNet Large Scale Visual Recognition Challenge Olga Russakovsky Jia Deng Hao Su J. Krause S. Satheesh ... A. Karpathy A. Khosla Michael S. Bernstein Alexander C. Berg Li Fei-Fei VLM ObjD 279 39,083 0 01 Sep 2014