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Predictive Inequity in Object Detection

Predictive Inequity in Object Detection

21 February 2019
Benjamin Wilson
Judy Hoffman
Jamie Morgenstern
ArXivPDFHTML

Papers citing "Predictive Inequity in Object Detection"

50 / 96 papers shown
Title
VISLIX: An XAI Framework for Validating Vision Models with Slice Discovery and Analysis
VISLIX: An XAI Framework for Validating Vision Models with Slice Discovery and Analysis
Xinyuan Yan
Xiwei Xuan
Jorge Henrique Piazentin Ono
Jiajing Guo
V. Mohanty
Shekar Arvind Kumar
Liang Gou
Bei Wang
Liu Ren
42
0
0
06 May 2025
Optimizing importance weighting in the presence of sub-population shifts
Optimizing importance weighting in the presence of sub-population shifts
Floris Holstege
Bram Wouters
Noud van Giersbergen
C. Diks
24
0
0
18 Oct 2024
Dynamic Fairness Perceptions in Human-Robot Interaction
Dynamic Fairness Perceptions in Human-Robot Interaction
Houston Claure
Kate Candon
Inyoung Shin
Marynel Vázquez
30
1
0
11 Sep 2024
Fairness and Bias Mitigation in Computer Vision: A Survey
Fairness and Bias Mitigation in Computer Vision: A Survey
Sepehr Dehdashtian
Ruozhen He
Yi Li
Guha Balakrishnan
Nuno Vasconcelos
Vicente Ordonez
Vishnu Naresh Boddeti
34
4
0
05 Aug 2024
PathwayBench: Assessing Routability of Pedestrian Pathway Networks
  Inferred from Multi-City Imagery
PathwayBench: Assessing Routability of Pedestrian Pathway Networks Inferred from Multi-City Imagery
Yuxiang Zhang
Bill Howe
Sachin Mehta
N. Bolten
A. Caspi
16
1
0
23 Jul 2024
A Taxonomy of Challenges to Curating Fair Datasets
A Taxonomy of Challenges to Curating Fair Datasets
Dora Zhao
M. Scheuerman
Pooja Chitre
Jerone T. A. Andrews
Georgia Panagiotidou
Shawn Walker
Kathleen H. Pine
Alice Xiang
39
2
0
10 Jun 2024
Fairness in Autonomous Driving: Towards Understanding Confounding
  Factors in Object Detection under Challenging Weather
Fairness in Autonomous Driving: Towards Understanding Confounding Factors in Object Detection under Challenging Weather
Bimsara Pathiraja
Caleb Liu
Ransalu Senanayake
26
2
0
31 May 2024
Designing for Fairness in Human-Robot Interactions
Designing for Fairness in Human-Robot Interactions
Houston Claure
13
0
0
31 May 2024
Who's in and who's out? A case study of multimodal CLIP-filtering in
  DataComp
Who's in and who's out? A case study of multimodal CLIP-filtering in DataComp
Rachel Hong
William Agnew
Tadayoshi Kohno
Jamie Morgenstern
27
9
0
13 May 2024
A Unified Framework and Dataset for Assessing Societal Bias in
  Vision-Language Models
A Unified Framework and Dataset for Assessing Societal Bias in Vision-Language Models
Ashutosh Sathe
Prachi Jain
Sunayana Sitaram
50
1
0
21 Feb 2024
Analyzing and Mitigating Bias for Vulnerable Classes: Towards Balanced
  Representation in Dataset
Analyzing and Mitigating Bias for Vulnerable Classes: Towards Balanced Representation in Dataset
Dewant Katare
David Solans Noguero
Souneil Park
Nicolas Kourtellis
Marijn Janssen
Aaron Yi Ding
17
2
0
18 Jan 2024
GroupMixNorm Layer for Learning Fair Models
GroupMixNorm Layer for Learning Fair Models
Anubha Pandey
Aditi Rai
Maneet Singh
Deepak L. Bhatt
Tanmoy Bhowmik
14
0
0
19 Dec 2023
Attribute Annotation and Bias Evaluation in Visual Datasets for
  Autonomous Driving
Attribute Annotation and Bias Evaluation in Visual Datasets for Autonomous Driving
David Fernández Llorca
Pedro Frau
Ignacio Parra
R. Izquierdo
Emilia Gómez
45
1
0
11 Dec 2023
SoUnD Framework: Analyzing (So)cial Representation in (Un)structured
  (D)ata
SoUnD Framework: Analyzing (So)cial Representation in (Un)structured (D)ata
Mark Díaz
Sunipa Dev
Emily Reif
Remi Denton
Vinodkumar Prabhakaran
33
3
0
28 Nov 2023
(Ir)rationality in AI: State of the Art, Research Challenges and Open Questions
(Ir)rationality in AI: State of the Art, Research Challenges and Open Questions
Olivia Macmillan-Scott
Mirco Musolesi
32
1
0
28 Nov 2023
AI Hazard Management: A framework for the systematic management of root
  causes for AI risks
AI Hazard Management: A framework for the systematic management of root causes for AI risks
Ronald Schnitzer
Andreas Hapfelmeier
Sven Gaube
Sonja Zillner
13
3
0
25 Oct 2023
FACTS: First Amplify Correlations and Then Slice to Discover Bias
FACTS: First Amplify Correlations and Then Slice to Discover Bias
Sriram Yenamandra
Baifeng Shi
Trevor Darrell
Judy Hoffman
CML
23
21
0
29 Sep 2023
Survey of Social Bias in Vision-Language Models
Survey of Social Bias in Vision-Language Models
Nayeon Lee
Yejin Bang
Holy Lovenia
Samuel Cahyawijaya
Wenliang Dai
Pascale Fung
VLM
39
16
0
24 Sep 2023
Beyond Skin Tone: A Multidimensional Measure of Apparent Skin Color
Beyond Skin Tone: A Multidimensional Measure of Apparent Skin Color
William Thong
Przemyslaw K. Joniak
Alice Xiang
30
19
0
10 Sep 2023
Fairness in Ranking under Disparate Uncertainty
Fairness in Ranking under Disparate Uncertainty
Richa Rastogi
Thorsten Joachims
30
3
0
04 Sep 2023
FACET: Fairness in Computer Vision Evaluation Benchmark
FACET: Fairness in Computer Vision Evaluation Benchmark
Laura Gustafson
Chloe Rolland
Nikhila Ravi
Quentin Duval
Aaron B. Adcock
Cheng-Yang Fu
Melissa Hall
Candace Ross
VLM
EGVM
21
36
0
31 Aug 2023
TorchQL: A Programming Framework for Integrity Constraints in Machine
  Learning
TorchQL: A Programming Framework for Integrity Constraints in Machine Learning
Aaditya Naik
Adam Stein
Yinjun Wu
Mayur Naik
Eric Wong
30
3
0
13 Aug 2023
Bias Behind the Wheel: Fairness Analysis of Autonomous Driving Systems
Bias Behind the Wheel: Fairness Analysis of Autonomous Driving Systems
Xinyue Li
Zhenpeng Chen
Jie M. Zhang
Federica Sarro
Y. Zhang
Xuanzhe Liu
12
4
0
05 Aug 2023
ICON$^2$: Reliably Benchmarking Predictive Inequity in Object Detection
ICON2^22: Reliably Benchmarking Predictive Inequity in Object Detection
Sruthi Sudhakar
Viraj Prabhu
Olga Russakovsky
Judy Hoffman
27
2
0
07 Jun 2023
T2IAT: Measuring Valence and Stereotypical Biases in Text-to-Image
  Generation
T2IAT: Measuring Valence and Stereotypical Biases in Text-to-Image Generation
Jialu Wang
Xinyue Liu
Zonglin Di
Y. Liu
Xin Eric Wang
16
32
0
01 Jun 2023
Skin Deep: Investigating Subjectivity in Skin Tone Annotations for
  Computer Vision Benchmark Datasets
Skin Deep: Investigating Subjectivity in Skin Tone Annotations for Computer Vision Benchmark Datasets
Teanna Barrett
Quan Ze Chen
Amy X. Zhang
29
13
0
15 May 2023
Model-Agnostic Gender Debiased Image Captioning
Model-Agnostic Gender Debiased Image Captioning
Yusuke Hirota
Yuta Nakashima
Noa Garcia
FaML
22
18
0
07 Apr 2023
Uncurated Image-Text Datasets: Shedding Light on Demographic Bias
Uncurated Image-Text Datasets: Shedding Light on Demographic Bias
Noa Garcia
Yusuke Hirota
Yankun Wu
Yuta Nakashima
EGVM
33
51
0
06 Apr 2023
Variation of Gender Biases in Visual Recognition Models Before and After
  Finetuning
Variation of Gender Biases in Visual Recognition Models Before and After Finetuning
Jaspreet Ranjit
Tianlu Wang
Baishakhi Ray
Vicente Ordonez
31
2
0
14 Mar 2023
APE: An Open and Shared Annotated Dataset for Learning Urban Pedestrian
  Path Networks
APE: An Open and Shared Annotated Dataset for Learning Urban Pedestrian Path Networks
Yuxiang Zhang
N. Bolten
Sachin Mehta
A. Caspi
14
2
0
04 Mar 2023
On Comparing Fair Classifiers under Data Bias
On Comparing Fair Classifiers under Data Bias
Mohit Sharma
Amit Deshpande
R. Shah
27
2
0
12 Feb 2023
Mitigating Bias in Visual Transformers via Targeted Alignment
Mitigating Bias in Visual Transformers via Targeted Alignment
Sruthi Sudhakar
Viraj Prabhu
Arvindkumar Krishnakumar
Judy Hoffman
20
8
0
08 Feb 2023
Ethical Considerations for Responsible Data Curation
Ethical Considerations for Responsible Data Curation
Jerone T. A. Andrews
Dora Zhao
William Thong
Apostolos Modas
Orestis Papakyriakopoulos
Alice Xiang
17
19
0
07 Feb 2023
Fairness-aware Vision Transformer via Debiased Self-Attention
Fairness-aware Vision Transformer via Debiased Self-Attention
Yao Qiang
Chengyin Li
Prashant Khanduri
D. Zhu
ViT
64
8
0
31 Jan 2023
Uncertainty Quantification for Local Model Explanations Without Model
  Access
Uncertainty Quantification for Local Model Explanations Without Model Access
Surin Ahn
J. Grana
Yafet Tamene
Kristian Holsheimer
FAtt
21
0
0
13 Jan 2023
Simplicity Bias Leads to Amplified Performance Disparities
Simplicity Bias Leads to Amplified Performance Disparities
Samuel J. Bell
Levent Sagun
19
12
0
13 Dec 2022
MMD-B-Fair: Learning Fair Representations with Statistical Testing
MMD-B-Fair: Learning Fair Representations with Statistical Testing
Namrata Deka
Danica J. Sutherland
15
6
0
15 Nov 2022
Casual Conversations v2: Designing a large consent-driven dataset to
  measure algorithmic bias and robustness
Casual Conversations v2: Designing a large consent-driven dataset to measure algorithmic bias and robustness
C. Hazirbas
Yejin Bang
Tiezheng Yu
Parisa Assar
Bilal Porgali
...
Jacqueline Pan
Emily McReynolds
Miranda Bogen
Pascale Fung
Cristian Canton Ferrer
27
8
0
10 Nov 2022
Men Also Do Laundry: Multi-Attribute Bias Amplification
Men Also Do Laundry: Multi-Attribute Bias Amplification
Dora Zhao
Jerone T. A. Andrews
Alice Xiang
FaML
28
20
0
21 Oct 2022
Learning Certifiably Robust Controllers Using Fragile Perception
Learning Certifiably Robust Controllers Using Fragile Perception
Dawei Sun
N. Musavi
Geir Dullerud
Sanjay Shakkottai
Sayan Mitra
15
1
0
22 Sep 2022
Robots Enact Malignant Stereotypes
Robots Enact Malignant Stereotypes
Andrew Hundt
William Agnew
V. Zeng
Severin Kacianka
Matthew C. Gombolay
LM&Ro
30
41
0
23 Jul 2022
Fairness and Bias in Robot Learning
Fairness and Bias in Robot Learning
Laura Londoño
Juana Valeria Hurtado
Nora Hertz
P. Kellmeyer
S. Voeneky
Abhinav Valada
FaML
21
9
0
07 Jul 2022
How Robust is Your Fairness? Evaluating and Sustaining Fairness under
  Unseen Distribution Shifts
How Robust is Your Fairness? Evaluating and Sustaining Fairness under Unseen Distribution Shifts
Haotao Wang
Junyuan Hong
Jiayu Zhou
Zhangyang Wang
OOD
53
11
0
04 Jul 2022
American == White in Multimodal Language-and-Image AI
American == White in Multimodal Language-and-Image AI
Robert Wolfe
Aylin Caliskan
VLM
27
46
0
01 Jul 2022
Measuring Representational Harms in Image Captioning
Measuring Representational Harms in Image Captioning
Angelina Wang
Solon Barocas
Kristen Laird
Hanna M. Wallach
19
51
0
14 Jun 2022
How does overparametrization affect performance on minority groups?
How does overparametrization affect performance on minority groups?
Subha Maity
Saptarshi Roy
Songkai Xue
Mikhail Yurochkin
Yuekai Sun
19
3
0
07 Jun 2022
Markedness in Visual Semantic AI
Markedness in Visual Semantic AI
Robert Wolfe
Aylin Caliskan
VLM
22
35
0
23 May 2022
Evidence for Hypodescent in Visual Semantic AI
Evidence for Hypodescent in Visual Semantic AI
Robert Wolfe
M. Banaji
Aylin Caliskan
VLM
25
36
0
22 May 2022
Towards Racially Unbiased Skin Tone Estimation via Scene Disambiguation
Towards Racially Unbiased Skin Tone Estimation via Scene Disambiguation
Haiwen Feng
Timo Bolkart
J. Tesch
Michael J. Black
Victoria Fernandez-Abrevaya
19
39
0
08 May 2022
Quantifying Societal Bias Amplification in Image Captioning
Quantifying Societal Bias Amplification in Image Captioning
Yusuke Hirota
Yuta Nakashima
Noa Garcia
19
49
0
29 Mar 2022
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