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Don't Judge an Object by Its Context: Learning to Overcome Contextual
  Bias

Don't Judge an Object by Its Context: Learning to Overcome Contextual Bias

9 January 2020
Krishna Kumar Singh
D. Mahajan
Kristen Grauman
Yong Jae Lee
Matt Feiszli
Deepti Ghadiyaram
ArXivPDFHTML

Papers citing "Don't Judge an Object by Its Context: Learning to Overcome Contextual Bias"

30 / 30 papers shown
Title
Attention IoU: Examining Biases in CelebA using Attention Maps
Attention IoU: Examining Biases in CelebA using Attention Maps
Aaron Serianni
Tyler Zhu
Olga Russakovsky
V. V. Ramaswamy
39
0
0
25 Mar 2025
B-cosification: Transforming Deep Neural Networks to be Inherently Interpretable
B-cosification: Transforming Deep Neural Networks to be Inherently Interpretable
Shreyash Arya
Sukrut Rao
Moritz Bohle
Bernt Schiele
68
2
0
28 Jan 2025
Deployment Prior Injection for Run-time Calibratable Object Detection
Deployment Prior Injection for Run-time Calibratable Object Detection
Mo Zhou
Yiding Yang
Haoxiang Li
Vishal M. Patel
Gang Hua
39
0
0
27 Feb 2024
Evaluating Bias and Fairness in Gender-Neutral Pretrained
  Vision-and-Language Models
Evaluating Bias and Fairness in Gender-Neutral Pretrained Vision-and-Language Models
Laura Cabello
Emanuele Bugliarello
Stephanie Brandl
Desmond Elliott
23
7
0
26 Oct 2023
CrIBo: Self-Supervised Learning via Cross-Image Object-Level
  Bootstrapping
CrIBo: Self-Supervised Learning via Cross-Image Object-Level Bootstrapping
Tim Lebailly
Thomas Stegmüller
Behzad Bozorgtabar
Jean-Philippe Thiran
Tinne Tuytelaars
SSL
47
6
0
11 Oct 2023
Mitigating Bias: Enhancing Image Classification by Improving Model
  Explanations
Mitigating Bias: Enhancing Image Classification by Improving Model Explanations
Raha Ahmadi
Mohammad Javad Rajabi
Mohammad Khalooiem
Mohammad Sabokrou
19
0
0
04 Jul 2023
NeurOCS: Neural NOCS Supervision for Monocular 3D Object Localization
NeurOCS: Neural NOCS Supervision for Monocular 3D Object Localization
Zhixiang Min
Bingbing Zhuang
S. Schulter
Buyu Liu
Enrique Dunn
Manmohan Chandraker
3DPC
42
19
0
28 May 2023
VEIL: Vetting Extracted Image Labels from In-the-Wild Captions for
  Weakly-Supervised Object Detection
VEIL: Vetting Extracted Image Labels from In-the-Wild Captions for Weakly-Supervised Object Detection
Arushi Rai
Adriana Kovashka
19
0
0
16 Mar 2023
Overwriting Pretrained Bias with Finetuning Data
Overwriting Pretrained Bias with Finetuning Data
Angelina Wang
Olga Russakovsky
21
29
0
10 Mar 2023
Prediction of Scene Plausibility
Prediction of Scene Plausibility
O. Nachmias
Ohad Fried
Ariel Shamir
3DV
21
0
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 Labels
Sumyeong Ahn
Se-Young Yun
NoLa
21
2
0
01 Dec 2022
Probabilistic Debiasing of Scene Graphs
Probabilistic Debiasing of Scene Graphs
Bashirul Azam Biswas
Qian Ji
22
11
0
11 Nov 2022
Fairness via Adversarial Attribute Neighbourhood Robust Learning
Fairness via Adversarial Attribute Neighbourhood Robust Learning
Q. Qi
Shervin Ardeshir
Yi Tian Xu
Tianbao Yang
35
0
0
12 Oct 2022
DASH: Visual Analytics for Debiasing Image Classification via
  User-Driven Synthetic Data Augmentation
DASH: Visual Analytics for Debiasing Image Classification via User-Driven Synthetic Data Augmentation
Bum Chul Kwon
Jungsoo Lee
Chaeyeon Chung
Nyoungwoo Lee
Ho-Jin Choi
Jaegul Choo
34
10
0
14 Sep 2022
Learning to Refactor Action and Co-occurrence Features for Temporal
  Action Localization
Learning to Refactor Action and Co-occurrence Features for Temporal Action Localization
Kun Xia
Le Wang
Sanping Zhou
Nanning Zheng
Wei Tang
28
36
0
23 Jun 2022
Optimizing Relevance Maps of Vision Transformers Improves Robustness
Optimizing Relevance Maps of Vision Transformers Improves Robustness
Hila Chefer
Idan Schwartz
Lior Wolf
ViT
29
37
0
02 Jun 2022
Post-hoc Concept Bottleneck Models
Post-hoc Concept Bottleneck Models
Mert Yuksekgonul
Maggie Wang
James Y. Zou
143
185
0
31 May 2022
What's in a Caption? Dataset-Specific Linguistic Diversity and Its
  Effect on Visual Description Models and Metrics
What's in a Caption? Dataset-Specific Linguistic Diversity and Its Effect on Visual Description Models and Metrics
David M. Chan
Austin Myers
Sudheendra Vijayanarasimhan
David A. Ross
Bryan Seybold
John F. Canny
26
6
0
12 May 2022
VisCUIT: Visual Auditor for Bias in CNN Image Classifier
VisCUIT: Visual Auditor for Bias in CNN Image Classifier
Seongmin Lee
Zijie J. Wang
Judy Hoffman
Duen Horng Chau
22
11
0
12 Apr 2022
OccamNets: Mitigating Dataset Bias by Favoring Simpler Hypotheses
OccamNets: Mitigating Dataset Bias by Favoring Simpler Hypotheses
Robik Shrestha
Kushal Kafle
Christopher Kanan
CML
25
13
0
05 Apr 2022
FairPrune: Achieving Fairness Through Pruning for Dermatological Disease
  Diagnosis
FairPrune: Achieving Fairness Through Pruning for Dermatological Disease Diagnosis
Yawen Wu
Dewen Zeng
Xiaowei Xu
Yiyu Shi
Jingtong Hu
MedIm
21
51
0
04 Mar 2022
ScoreNet: Learning Non-Uniform Attention and Augmentation for
  Transformer-Based Histopathological Image Classification
ScoreNet: Learning Non-Uniform Attention and Augmentation for Transformer-Based Histopathological Image Classification
Thomas Stegmüller
Behzad Bozorgtabar
A. Spahr
Jean-Philippe Thiran
ViT
MedIm
19
42
0
15 Feb 2022
Learning Robust Convolutional Neural Networks with Relevant Feature
  Focusing via Explanations
Learning Robust Convolutional Neural Networks with Relevant Feature Focusing via Explanations
Kazuki Adachi
Shinýa Yamaguchi
OOD
22
0
0
09 Feb 2022
Contrastive Object Detection Using Knowledge Graph Embeddings
Contrastive Object Detection Using Knowledge Graph Embeddings
Christopher Lang
Alexander Braun
Abhinav Valada
13
8
0
21 Dec 2021
Consistent Explanations by Contrastive Learning
Consistent Explanations by Contrastive Learning
Vipin Pillai
Soroush Abbasi Koohpayegani
Ashley Ouligian
Dennis Fong
Hamed Pirsiavash
FAtt
18
21
0
01 Oct 2021
A Survey on Bias in Visual Datasets
A Survey on Bias in Visual Datasets
Simone Fabbrizzi
Symeon Papadopoulos
Eirini Ntoutsi
Y. Kompatsiaris
123
121
0
16 Jul 2021
Fairness via Representation Neutralization
Fairness via Representation Neutralization
Mengnan Du
Subhabrata Mukherjee
Guanchu Wang
Ruixiang Tang
Ahmed Hassan Awadallah
Xia Hu
23
76
0
23 Jun 2021
Unidentified Video Objects: A Benchmark for Dense, Open-World
  Segmentation
Unidentified Video Objects: A Benchmark for Dense, Open-World Segmentation
Weiyao Wang
Matt Feiszli
Heng Wang
Du Tran
VOS
15
123
0
10 Apr 2021
Detecting Spurious Correlations with Sanity Tests for Artificial
  Intelligence Guided Radiology Systems
Detecting Spurious Correlations with Sanity Tests for Artificial Intelligence Guided Radiology Systems
U. Mahmood
Robik Shrestha
D. Bates
L. Mannelli
G. Corrias
Y. Erdi
Christopher Kanan
16
16
0
04 Mar 2021
Learning to Model and Ignore Dataset Bias with Mixed Capacity Ensembles
Learning to Model and Ignore Dataset Bias with Mixed Capacity Ensembles
Christopher Clark
Mark Yatskar
Luke Zettlemoyer
18
61
0
07 Nov 2020
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