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BiaSwap: Removing dataset bias with bias-tailored swapping augmentation

BiaSwap: Removing dataset bias with bias-tailored swapping augmentation

IEEE International Conference on Computer Vision (ICCV), 2021
23 August 2021
Eungyeup Kim
Jihyeon Janel Lee
Jaegul Choo
ArXiv (abs)PDFHTML

Papers citing "BiaSwap: Removing dataset bias with bias-tailored swapping augmentation"

50 / 64 papers shown
Title
BLADE: Bias-Linked Adaptive DEbiasing
BLADE: Bias-Linked Adaptive DEbiasing
Piyush Arora
Navlika Singh
Vasubhya Diwan
Pratik Mazumder
72
0
0
05 Oct 2025
Controllable Feature Whitening for Hyperparameter-Free Bias Mitigation
Controllable Feature Whitening for Hyperparameter-Free Bias Mitigation
Yooshin Cho
Hanbyel Cho
Janghyeon Lee
H. Hong
Jaesung Ahn
Junmo Kim
96
0
0
27 Jul 2025
CO-VADA: A Confidence-Oriented Voice Augmentation Debiasing Approach for Fair Speech Emotion Recognition
CO-VADA: A Confidence-Oriented Voice Augmentation Debiasing Approach for Fair Speech Emotion Recognition
Y. Tsai
Yi-Cheng Lin
Huang-Cheng Chou
Hung-yi Lee
CML
301
0
0
06 Jun 2025
Attention IoU: Examining Biases in CelebA using Attention Maps
Attention IoU: Examining Biases in CelebA using Attention MapsComputer Vision and Pattern Recognition (CVPR), 2025
Aaron Serianni
Tyler Zhu
Olga Russakovsky
V. V. Ramaswamy
249
1
0
25 Mar 2025
Project-Probe-Aggregate: Efficient Fine-Tuning for Group Robustness
Project-Probe-Aggregate: Efficient Fine-Tuning for Group RobustnessComputer Vision and Pattern Recognition (CVPR), 2025
B. Zhu
Jiequan Cui
Haiqi Zhang
Chi Zhang
327
2
0
12 Mar 2025
CAD-VAE: Leveraging Correlation-Aware Latents for Comprehensive Fair Disentanglement
CAD-VAE: Leveraging Correlation-Aware Latents for Comprehensive Fair Disentanglement
Chenrui Ma
Rongchang Zhao
Xi Xiao
Hongyang Xie
Tianyang Wang
272
5
0
11 Mar 2025
Diffusing DeBias: Synthetic Bias Amplification for Model Debiasing
Diffusing DeBias: Synthetic Bias Amplification for Model Debiasing
Massimiliano Ciranni
Vito Paolo Pastore
Roberto Di Via
Enzo Tartaglione
Francesca Odone
Vittorio Murino
DiffM
383
0
0
13 Feb 2025
Debiasing Classifiers by Amplifying Bias with Latent Diffusion and Large
  Language Models
Debiasing Classifiers by Amplifying Bias with Latent Diffusion and Large Language ModelsACM Symposium on Applied Computing (SAC), 2024
Donggeun Ko
Dongjun Lee
Namjun Park
Wonkyeong Shim
Jaekwang Kim
DiffM
186
0
0
25 Nov 2024
Mitigating Spurious Correlations via Disagreement Probability
Mitigating Spurious Correlations via Disagreement ProbabilityNeural Information Processing Systems (NeurIPS), 2024
Hyeonggeun Han
Sehwan Kim
Hyungjun Joo
Sangwoo Hong
Jungwoo Lee
452
4
0
04 Nov 2024
Debiasify: Self-Distillation for Unsupervised Bias Mitigation
Debiasify: Self-Distillation for Unsupervised Bias MitigationIEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2024
Nourhan Bayasi
Jamil Fayyad
Ghassan Hamarneh
Rafeef Garbi
Homayoun Najjaran
317
1
0
01 Nov 2024
Effective Guidance for Model Attention with Simple Yes-no Annotations
Effective Guidance for Model Attention with Simple Yes-no AnnotationsBigData Congress [Services Society] (BSS), 2024
Seongmin Lee
Ali Payani
Duen Horng Chau
FAtt
284
0
0
29 Oct 2024
Saliency-Based diversity and fairness Metric and
  FaceKeepOriginalAugment: A Novel Approach for Enhancing Fairness and
  Diversity
Saliency-Based diversity and fairness Metric and FaceKeepOriginalAugment: A Novel Approach for Enhancing Fairness and Diversity
Teerath Kumar
Alessandra Mileo
Malika Bendechache
201
0
0
29 Oct 2024
CosFairNet:A Parameter-Space based Approach for Bias Free Learning
CosFairNet:A Parameter-Space based Approach for Bias Free LearningBritish Machine Vision Conference (BMVC), 2024
Rajeev Ranjan Dwivedi
Priyadarshini Kumari
Vinod K Kurmi
131
1
0
19 Oct 2024
FaceSaliencyAug: Mitigating Geographic, Gender and Stereotypical Biases
  via Saliency-Based Data Augmentation
FaceSaliencyAug: Mitigating Geographic, Gender and Stereotypical Biases via Saliency-Based Data AugmentationSignal, Image and Video Processing (SIVP), 2024
Teerath Kumar
Alessandra Mileo
Malika Bendechache
CVBM
234
1
0
17 Oct 2024
Improving Robustness to Multiple Spurious Correlations by
  Multi-Objective Optimization
Improving Robustness to Multiple Spurious Correlations by Multi-Objective OptimizationInternational Conference on Machine Learning (ICML), 2024
Nayeong Kim
Juwon Kang
Sungsoo Ahn
Jungseul Ok
Suha Kwak
196
5
0
05 Sep 2024
Say My Name: a Model's Bias Discovery Framework
Say My Name: a Model's Bias Discovery Framework
Massimiliano Ciranni
Luca Molinaro
C. Barbano
Attilio Fiandrotti
Vittorio Murino
Vito Paolo Pastore
Enzo Tartaglione
196
4
0
18 Aug 2024
Model Debiasing by Learnable Data Augmentation
Model Debiasing by Learnable Data Augmentation
Pietro Morerio
R. Ragonesi
Vittorio Murino
177
1
0
09 Aug 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 Boddeti
309
11
0
05 Aug 2024
Towards Real-world Debiasing: Rethinking Evaluation, Challenge, and Solution
Towards Real-world Debiasing: Rethinking Evaluation, Challenge, and Solution
Peng Kuang
Zhibo Wang
Zhixuan Chu
Jingyi Wang
Kui Ren
CML
260
0
0
24 May 2024
Enhancing Intrinsic Features for Debiasing via Investigating
  Class-Discerning Common Attributes in Bias-Contrastive Pair
Enhancing Intrinsic Features for Debiasing via Investigating Class-Discerning Common Attributes in Bias-Contrastive Pair
Jeonghoon Park
Chaeyeon Chung
Juyoung Lee
Jaegul Choo
160
4
0
30 Apr 2024
DeNetDM: Debiasing by Network Depth Modulation
DeNetDM: Debiasing by Network Depth Modulation
Silpa Vadakkeeveetil Sreelatha
Adarsh Kappiyath
Anjan Dutta
177
5
1
28 Mar 2024
Learning Decomposable and Debiased Representations via Attribute-Centric
  Information Bottlenecks
Learning Decomposable and Debiased Representations via Attribute-Centric Information Bottlenecks
Jinyung Hong
Eunyeong Jeon
Changhoon Kim
Keun Hee Park
Utkarsh Nath
Yezhou Yang
Pavan Turaga
Theodore P. Pavlic
CML
178
0
0
21 Mar 2024
Complexity Matters: Dynamics of Feature Learning in the Presence of
  Spurious Correlations
Complexity Matters: Dynamics of Feature Learning in the Presence of Spurious Correlations
GuanWen Qiu
Da Kuang
Surbhi Goel
372
11
0
05 Mar 2024
Decompose-and-Compose: A Compositional Approach to Mitigating Spurious
  Correlation
Decompose-and-Compose: A Compositional Approach to Mitigating Spurious Correlation
Fahimeh Hosseini Noohdani
Parsa Hosseini
Aryan Yazdan Parast
Hamidreza Yaghoubi Araghi
M. Baghshah
CoGeOOD
193
16
0
29 Feb 2024
Unsupervised Concept Discovery Mitigates Spurious Correlations
Unsupervised Concept Discovery Mitigates Spurious Correlations
Md Rifat Arefin
Yan Zhang
A. Baratin
Francesco Locatello
Irina Rish
Dianbo Liu
Kenji Kawaguchi
185
8
0
20 Feb 2024
Revisiting the Dataset Bias Problem from a Statistical Perspective
Revisiting the Dataset Bias Problem from a Statistical PerspectiveEuropean Conference on Artificial Intelligence (ECAI), 2024
Kien Do
D. Nguyen
Hung Le
T. Le
Dang Nguyen
Haripriya Harikumar
T. Tran
Santu Rana
Svetha Venkatesh
136
0
0
05 Feb 2024
Common-Sense Bias Modeling for Classification Tasks
Common-Sense Bias Modeling for Classification TasksAAAI Conference on Artificial Intelligence (AAAI), 2024
Miao Zhang
Zee fryer
Ben Colman
Ali Shahriyari
Gaurav Bharaj
396
0
0
24 Jan 2024
Medical Image Debiasing by Learning Adaptive Agreement from a Biased
  Council
Medical Image Debiasing by Learning Adaptive Agreement from a Biased Council
Luyang Luo
Xin Huang
Minghao Wang
Zhuoyue Wan
Hao Chen
204
2
0
22 Jan 2024
Marginal Debiased Network for Fair Visual Recognition
Marginal Debiased Network for Fair Visual RecognitionPattern Recognition (Pattern Recogn.), 2024
Mei Wang
Weihong Deng
Sen Su
240
1
0
04 Jan 2024
Weakly Supervised Open-Vocabulary Object Detection
Weakly Supervised Open-Vocabulary Object Detection
Jianghang Lin
Chunjiang Ge
Bingquan Wang
Shaohui Lin
Ke Li
Liujuan Cao
WSOD
245
15
0
19 Dec 2023
Hybrid Sample Synthesis-based Debiasing of Classifier in Limited Data
  Setting
Hybrid Sample Synthesis-based Debiasing of Classifier in Limited Data SettingIEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2023
Piyush Arora
Pratik Mazumder
238
2
0
13 Dec 2023
Artificial Neural Nets and the Representation of Human Concepts
Artificial Neural Nets and the Representation of Human Concepts
Timo Freiesleben
NAI
239
4
0
08 Dec 2023
REST: Enhancing Group Robustness in DNNs through Reweighted Sparse
  Training
REST: Enhancing Group Robustness in DNNs through Reweighted Sparse Training
Jiaxu Zhao
Lu Yin
Shiwei Liu
Meng Fang
Mykola Pechenizkiy
203
4
0
05 Dec 2023
Concept Distillation: Leveraging Human-Centered Explanations for Model
  Improvement
Concept Distillation: Leveraging Human-Centered Explanations for Model ImprovementNeural Information Processing Systems (NeurIPS), 2023
Avani Gupta
Saurabh Saini
P. J. Narayanan
185
12
0
26 Nov 2023
SABAF: Removing Strong Attribute Bias from Neural Networks with
  Adversarial Filtering
SABAF: Removing Strong Attribute Bias from Neural Networks with Adversarial Filtering
Jiazhi Li
Mahyar Khayatkhoei
Jiageng Zhu
Hanchen Xie
Mohamed E. Hussein
Wael AbdAlmageed
165
3
0
13 Nov 2023
AI-based association analysis for medical imaging using latent-space geometric confounder correction
AI-based association analysis for medical imaging using latent-space geometric confounder correction
Xianjing Liu
Yue Liu
Meike W. Vernooij
E. Wolvius
Gennady V. Roshchupkin
Esther E. Bron
MedIm
249
2
0
03 Oct 2023
Towards Last-layer Retraining for Group Robustness with Fewer
  Annotations
Towards Last-layer Retraining for Group Robustness with Fewer AnnotationsNeural Information Processing Systems (NeurIPS), 2023
Tyler LaBonte
Vidya Muthukumar
Abhishek Kumar
329
54
0
15 Sep 2023
Partition-and-Debias: Agnostic Biases Mitigation via A Mixture of
  Biases-Specific Experts
Partition-and-Debias: Agnostic Biases Mitigation via A Mixture of Biases-Specific ExpertsIEEE International Conference on Computer Vision (ICCV), 2023
Jiaxuan Li
D. Vo
Hideki Nakayama
217
4
0
19 Aug 2023
Signal Is Harder To Learn Than Bias: Debiasing with Focal Loss
Signal Is Harder To Learn Than Bias: Debiasing with Focal Loss
Moritz Vandenhirtz
Laura Manduchi
Ricards Marcinkevics
Julia E. Vogt
130
3
0
31 May 2023
Few-shot Adaptation to Distribution Shifts By Mixing Source and Target
  Embeddings
Few-shot Adaptation to Distribution Shifts By Mixing Source and Target EmbeddingsInternational Conference on Machine Learning (ICML), 2023
Yihao Xue
Ali Payani
Yu Yang
Baharan Mirzasoleiman
VLM
162
4
0
23 May 2023
Using Positive Matching Contrastive Loss with Facial Action Units to
  mitigate bias in Facial Expression Recognition
Using Positive Matching Contrastive Loss with Facial Action Units to mitigate bias in Facial Expression RecognitionAffective Computing and Intelligent Interaction (ACII), 2022
Varsha Suresh
Desmond C. Ong
FaMLCVBM
122
6
0
08 Mar 2023
Delving into Identify-Emphasize Paradigm for Combating Unknown Bias
Delving into Identify-Emphasize Paradigm for Combating Unknown BiasInternational Journal of Computer Vision (IJCV), 2023
Bowen Zhao
Chen Chen
Qian-Wei Wang
Anfeng He
Shutao Xia
164
1
0
22 Feb 2023
Fairness-aware Vision Transformer via Debiased Self-Attention
Fairness-aware Vision Transformer via Debiased Self-AttentionEuropean Conference on Computer Vision (ECCV), 2023
Yao Qiang
Chengyin Li
Prashant Khanduri
D. Zhu
ViT
236
10
0
31 Jan 2023
Overcoming Simplicity Bias in Deep Networks using a Feature Sieve
Overcoming Simplicity Bias in Deep Networks using a Feature SieveInternational Conference on Machine Learning (ICML), 2023
Rishabh Tiwari
Pradeep Shenoy
338
28
0
30 Jan 2023
Look Beyond Bias with Entropic Adversarial Data Augmentation
Look Beyond Bias with Entropic Adversarial Data AugmentationInternational Conference on Pattern Recognition (ICPR), 2022
Thomas Duboudin
Emmanuel Dellandrea
Corentin Abgrall
Gilles Hénaff
Liming Chen
CML
159
4
0
10 Jan 2023
A Whac-A-Mole Dilemma: Shortcuts Come in Multiples Where Mitigating One
  Amplifies Others
A Whac-A-Mole Dilemma: Shortcuts Come in Multiples Where Mitigating One Amplifies OthersComputer Vision and Pattern Recognition (CVPR), 2022
Zhiheng Li
Ivan Evtimov
Albert Gordo
C. Hazirbas
Tal Hassner
Cristian Canton Ferrer
Chenliang Xu
Mark Ibrahim
175
94
0
09 Dec 2022
Avoiding spurious correlations via logit correction
Avoiding spurious correlations via logit correctionInternational Conference on Learning Representations (ICLR), 2022
Sheng Liu
Xu Zhang
Nitesh Sekhar
Yue Wu
Prateek Singhal
C. Fernandez‐Granda
206
38
0
02 Dec 2022
Denoising after Entropy-based Debiasing A Robust Training Method for
  Dataset Bias with Noisy Labels
Denoising after Entropy-based Debiasing A Robust Training Method for Dataset Bias with Noisy LabelsAAAI Conference on Artificial Intelligence (AAAI), 2022
Sumyeong Ahn
Se-Young Yun
NoLa
169
2
0
01 Dec 2022
SelecMix: Debiased Learning by Contradicting-pair Sampling
SelecMix: Debiased Learning by Contradicting-pair SamplingNeural Information Processing Systems (NeurIPS), 2022
Inwoo Hwang
Sangjun Lee
Yunhyeok Kwak
Seong Joon Oh
Damien Teney
Jin-Hwa Kim
Byoung-Tak Zhang
OOD
589
35
0
04 Nov 2022
Self-supervised debiasing using low rank regularization
Self-supervised debiasing using low rank regularizationComputer Vision and Pattern Recognition (CVPR), 2022
Geon Yeong Park
Chanyong Jung
Sangmin Lee
Jong Chul Ye
Sang Wan Lee
CMLSSL
266
5
0
11 Oct 2022
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