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Object-aware Contrastive Learning for Debiased Scene Representation
v1v2 (latest)

Object-aware Contrastive Learning for Debiased Scene Representation

Neural Information Processing Systems (NeurIPS), 2021
30 July 2021
Sangwoo Mo
H. Kang
Kihyuk Sohn
Chun-Liang Li
Jinwoo Shin
    SSLOCL
ArXiv (abs)PDFHTML

Papers citing "Object-aware Contrastive Learning for Debiased Scene Representation"

28 / 28 papers shown
Fidelity-Aware Data Composition for Robust Robot Generalization
Fidelity-Aware Data Composition for Robust Robot Generalization
Zizhao Tong
Di Chen
Sicheng Hu
Hongwei Fan
Liliang Chen
Maoqing Yao
Hao Tang
Hao Dong
Ling Shao
145
1
0
29 Sep 2025
Multiple Object Stitching for Unsupervised Representation Learning
Multiple Object Stitching for Unsupervised Representation LearningPattern Recognition (Pattern Recogn.), 2025
Chengchao Shen
Dawei Liu
Jianxin Wang
OCLSSL
251
0
0
09 Jun 2025
Visual Data Diagnosis and Debiasing with Concept Graphs
Visual Data Diagnosis and Debiasing with Concept GraphsNeural Information Processing Systems (NeurIPS), 2024
Rwiddhi Chakraborty
Yinong Wang
Jialu Gao
Runkai Zheng
Cheng Zhang
Fernando de la Torre
234
6
0
26 Sep 2024
Multi-Output Distributional Fairness via Post-Processing
Multi-Output Distributional Fairness via Post-Processing
Gang Li
Qihang Lin
Ayush Ghosh
Tianbao Yang
526
1
0
31 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
351
12
0
05 Aug 2024
Unifying Graph Contrastive Learning via Graph Message Augmentation
Unifying Graph Contrastive Learning via Graph Message AugmentationIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2024
Ziyan Zhang
Bo Jiang
Jin Tang
Bin Luo
269
1
0
08 Jan 2024
Concept-wise Fine-tuning Matters in Preventing Negative Transfer
Concept-wise Fine-tuning Matters in Preventing Negative TransferIEEE International Conference on Computer Vision (ICCV), 2023
Yunqiao Yang
Long-Kai Huang
Ying Wei
222
2
0
12 Nov 2023
SOAR: Scene-debiasing Open-set Action Recognition
SOAR: Scene-debiasing Open-set Action RecognitionIEEE International Conference on Computer Vision (ICCV), 2023
Yuanhao Zhai
Ziyi Liu
Zhenyu Wu
Yi Wu
Chunluan Zhou
David Doermann
Junsong Yuan
Gang Hua
316
13
0
03 Sep 2023
ScoreCL: Augmentation-Adaptive Contrastive Learning via Score-Matching
  Function
ScoreCL: Augmentation-Adaptive Contrastive Learning via Score-Matching FunctionMachine-mediated learning (ML), 2023
Jinyoung Kim
Soonwoo Kwon
Hyojun Go
Yunsung Lee
Seungtaek Choi
Hyun-Gyoon Kim
194
2
0
07 Jun 2023
CrOC: Cross-View Online Clustering for Dense Visual Representation
  Learning
CrOC: Cross-View Online Clustering for Dense Visual Representation LearningComputer Vision and Pattern Recognition (CVPR), 2023
Thomas Stegmüller
Tim Lebailly
Behzad Bozorgtabar
Tinne Tuytelaars
Jean-Philippe Thiran
230
22
0
23 Mar 2023
RoPAWS: Robust Semi-supervised Representation Learning from Uncurated
  Data
RoPAWS: Robust Semi-supervised Representation Learning from Uncurated DataInternational Conference on Learning Representations (ICLR), 2023
Sangwoo Mo
Jong-Chyi Su
Chih-Yao Ma
Mido Assran
Ishan Misra
Licheng Yu
Sean Bell
AI4TS
175
15
0
28 Feb 2023
Discovering and Mitigating Visual Biases through Keyword Explanation
Discovering and Mitigating Visual Biases through Keyword ExplanationComputer Vision and Pattern Recognition (CVPR), 2023
Younghyun Kim
Sangwoo Mo
Minkyu Kim
Kyungmin Lee
Jaeho Lee
Jinwoo Shin
510
50
0
26 Jan 2023
SS-CPGAN: Self-Supervised Cut-and-Pasting Generative Adversarial Network
  for Object Segmentation
SS-CPGAN: Self-Supervised Cut-and-Pasting Generative Adversarial Network for Object SegmentationItalian National Conference on Sensors (INS), 2023
Kunal Chaturvedi
Ali Braytee
Jun Yu Li
Mukesh Prasad
305
3
0
01 Jan 2023
OAMixer: Object-aware Mixing Layer for Vision Transformers
OAMixer: Object-aware Mixing Layer for Vision Transformers
H. Kang
Sangwoo Mo
Jinwoo Shin
VLM
260
5
0
13 Dec 2022
Contrastive View Design Strategies to Enhance Robustness to Domain
  Shifts in Downstream Object Detection
Contrastive View Design Strategies to Enhance Robustness to Domain Shifts in Downstream Object Detection
Kyle Buettner
Adriana Kovashka
148
2
0
09 Dec 2022
Breaking the Spurious Causality of Conditional Generation via Fairness
  Intervention with Corrective Sampling
Breaking the Spurious Causality of Conditional Generation via Fairness Intervention with Corrective Sampling
J. Nam
Sangwoo Mo
Jaeho Lee
Jinwoo Shin
312
7
0
05 Dec 2022
Hyperbolic Contrastive Learning for Visual Representations beyond
  Objects
Hyperbolic Contrastive Learning for Visual Representations beyond ObjectsComputer Vision and Pattern Recognition (CVPR), 2022
Songwei Ge
Shlok Kumar Mishra
Simon Kornblith
Chun-Liang Li
David Jacobs
OCLSSL
285
74
0
01 Dec 2022
Reason from Context with Self-supervised Learning
Reason from Context with Self-supervised Learning
Xinyu Liu
Ankur Sikarwar
Gabriel Kreiman
Zenglin Shi
Mengmi Zhang
ReLMLRM
253
1
0
23 Nov 2022
Signing Outside the Studio: Benchmarking Background Robustness for
  Continuous Sign Language Recognition
Signing Outside the Studio: Benchmarking Background Robustness for Continuous Sign Language RecognitionBritish Machine Vision Conference (BMVC), 2022
Youngjoon Jang
Youngtaek Oh
Jae-Won Cho
Dong-Jin Kim
Joon Son Chung
In So Kweon
SLR
169
17
0
01 Nov 2022
On Feature Learning in the Presence of Spurious Correlations
On Feature Learning in the Presence of Spurious CorrelationsNeural Information Processing Systems (NeurIPS), 2022
Pavel Izmailov
Polina Kirichenko
Nate Gruver
A. Wilson
268
168
0
20 Oct 2022
Learning Hierarchical Image Segmentation For Recognition and By
  Recognition
Learning Hierarchical Image Segmentation For Recognition and By RecognitionInternational Conference on Learning Representations (ICLR), 2022
Tsung-Wei Ke
Sangwoo Mo
Stella X. Yu
VLM
469
16
0
01 Oct 2022
Look, Radiate, and Learn: Self-Supervised Localisation via Radio-Visual
  Correspondence
Look, Radiate, and Learn: Self-Supervised Localisation via Radio-Visual CorrespondenceComputer Vision and Pattern Recognition (CVPR), 2022
Mohammed Alloulah
Maximilian Arnold
SSL
335
2
0
13 Jun 2022
MSR: Making Self-supervised learning Robust to Aggressive Augmentations
MSR: Making Self-supervised learning Robust to Aggressive Augmentations
Ying-Long Bai
Erkun Yang
Zhaoqing Wang
Yuxuan Du
Bo Han
Cheng Deng
Dadong Wang
Tongliang Liu
SSL
223
5
0
04 Jun 2022
Can domain adaptation make object recognition work for everyone?
Can domain adaptation make object recognition work for everyone?
Viraj Prabhu
Ramprasaath R. Selvaraju
Judy Hoffman
Nikhil Naik
OOD
149
8
0
23 Apr 2022
Using the Order of Tomographic Slices as a Prior for Neural Networks
  Pre-Training
Using the Order of Tomographic Slices as a Prior for Neural Networks Pre-Training
Yaroslav Zharov
A. Ershov
T. Baumbach
Vincent Heuveline
66
0
0
17 Mar 2022
CYBORGS: Contrastively Bootstrapping Object Representations by Grounding
  in Segmentation
CYBORGS: Contrastively Bootstrapping Object Representations by Grounding in SegmentationEuropean Conference on Computer Vision (ECCV), 2022
Renhao Wang
Hang Zhao
Yang Gao
SSL
237
1
0
17 Mar 2022
PreViTS: Contrastive Pretraining with Video Tracking Supervision
PreViTS: Contrastive Pretraining with Video Tracking Supervision
Brian Chen
Ramprasaath R. Selvaraju
Shih-Fu Chang
Juan Carlos Niebles
Nikhil Naik
ViT
241
3
0
01 Dec 2021
Unsupervised Learning of Visual Features by Contrasting Cluster
  Assignments
Unsupervised Learning of Visual Features by Contrasting Cluster Assignments
Mathilde Caron
Ishan Misra
Julien Mairal
Priya Goyal
Piotr Bojanowski
Armand Joulin
OCLSSL
1.2K
4,664
0
17 Jun 2020
1