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2006.09994
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Noise or Signal: The Role of Image Backgrounds in Object Recognition
17 June 2020
Kai Y. Xiao
Logan Engstrom
Andrew Ilyas
A. Madry
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Papers citing
"Noise or Signal: The Role of Image Backgrounds in Object Recognition"
50 / 93 papers shown
Title
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Corner Cases: How Size and Position of Objects Challenge ImageNet-Trained Models
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Steffen Jung
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Point Cloud Recombination: Systematic Real Data Augmentation Using Robotic Targets for LiDAR Perception Validation
Hubert Padusinski
Christian Steinhauser
Christian Scherl
Julian Gaal
Jacob Langner
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05 May 2025
Are We Done with Object-Centric Learning?
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Ameya Prabhu
Matthias Bethge
Seong Joon Oh
OCL
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09 Apr 2025
Attention IoU: Examining Biases in CelebA using Attention Maps
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Tyler Zhu
Olga Russakovsky
V. V. Ramaswamy
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25 Mar 2025
BackMix: Regularizing Open Set Recognition by Removing Underlying Fore-Background Priors
Yu Wang
Junxian Mu
Hongzhi Huang
Qilong Wang
Pengfei Zhu
Q. Hu
57
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22 Mar 2025
The PanAf-FGBG Dataset: Understanding the Impact of Backgrounds in Wildlife Behaviour Recognition
Otto Brookes
Maksim Kukushkin
Majid Mirmehdi
Colleen Stephens
Paula Dieguez
...
Lukas Boesch
Thomas Schmid
M. Arandjelovic
H. Kühl
T. Burghardt
48
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28 Feb 2025
Detecting Systematic Weaknesses in Vision Models along Predefined Human-Understandable Dimensions
Sujan Sai Gannamaneni
Rohil Prakash Rao
Michael Mock
Maram Akila
Stefan Wrobel
AAML
162
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0
17 Feb 2025
Paint Outside the Box: Synthesizing and Selecting Training Data for Visual Grounding
Zilin Du
Haoxin Li
Jianfei Yu
Boyang Li
164
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0
01 Dec 2024
Focus On This, Not That! Steering LLMs With Adaptive Feature Specification
Tom A. Lamb
Adam Davies
Alasdair Paren
Philip Torr
Francesco Pinto
52
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0
30 Oct 2024
Discriminating image representations with principal distortions
Jenelle Feather
David Lipshutz
Sarah E. Harvey
Alex H. Williams
Eero P. Simoncelli
33
1
0
20 Oct 2024
QT-DoG: Quantization-aware Training for Domain Generalization
Saqib Javed
Hieu Le
Mathieu Salzmann
OOD
MQ
30
1
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In-context Learning in Presence of Spurious Correlations
Hrayr Harutyunyan
R. Darbinyan
Samvel Karapetyan
Hrant Khachatrian
LRM
51
1
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04 Oct 2024
Unveiling AI's Blind Spots: An Oracle for In-Domain, Out-of-Domain, and Adversarial Errors
Shuangpeng Han
Mengmi Zhang
134
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Comprehensive Attribution: Inherently Explainable Vision Model with Feature Detector
Xianren Zhang
Dongwon Lee
Suhang Wang
VLM
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50
3
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27 Jul 2024
Spuriousness-Aware Meta-Learning for Learning Robust Classifiers
Guangtao Zheng
Wenqian Ye
Aidong Zhang
54
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0
15 Jun 2024
An Empirical Study into Clustering of Unseen Datasets with Self-Supervised Encoders
Scott C. Lowe
Joakim Bruslund Haurum
Sageev Oore
T. Moeslund
Graham W. Taylor
SSL
46
3
0
04 Jun 2024
A Multimodal Automated Interpretability Agent
Tamar Rott Shaham
Sarah Schwettmann
Franklin Wang
Achyuta Rajaram
Evan Hernandez
Jacob Andreas
Antonio Torralba
34
18
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22 Apr 2024
Can We Break Free from Strong Data Augmentations in Self-Supervised Learning?
Shruthi Gowda
Elahe Arani
Bahram Zonooz
36
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Complexity Matters: Dynamics of Feature Learning in the Presence of Spurious Correlations
GuanWen Qiu
Da Kuang
Surbhi Goel
27
8
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Leveraging Habitat Information for Fine-grained Bird Identification
Tin Nguyen
Anh Nguyen
Anh Nguyen
VLM
44
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0
22 Dec 2023
3D Trajectory Reconstruction of Drones using a Single Camera
Seobin Hwang
Hanyoung Kim
Chaeyeon Heo
Youkyoung Na
Cheongeun Lee
Yeong-Jun Cho
29
2
0
06 Sep 2023
Measuring the Effect of Causal Disentanglement on the Adversarial Robustness of Neural Network Models
Preben Ness
D. Marijan
Sunanda Bose
CML
29
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0
21 Aug 2023
VisAlign: Dataset for Measuring the Degree of Alignment between AI and Humans in Visual Perception
Jiyoung Lee
Seung Wook Kim
Seunghyun Won
Joonseok Lee
Marzyeh Ghassemi
James Thorne
Jaeseok Choi
O.-Kil Kwon
Edward Choi
30
1
0
03 Aug 2023
Improving neural network representations using human similarity judgments
Lukas Muttenthaler
Lorenz Linhardt
Jonas Dippel
Robert A. Vandermeulen
Katherine L. Hermann
Andrew Kyle Lampinen
Simon Kornblith
40
29
0
07 Jun 2023
How Spurious Features Are Memorized: Precise Analysis for Random and NTK Features
Simone Bombari
Marco Mondelli
AAML
28
4
0
20 May 2023
Consistency Regularization for Domain Generalization with Logit Attribution Matching
Han Gao
Kaican Li
Weiyan Xie
Zhi Lin
Yongxiang Huang
Luning Wang
Caleb Chen Cao
N. Zhang
13
2
0
13 May 2023
Enhancing Multiple Reliability Measures via Nuisance-extended Information Bottleneck
Jongheon Jeong
Sihyun Yu
Hankook Lee
Jinwoo Shin
AAML
44
0
0
24 Mar 2023
Domain Generalization via Nuclear Norm Regularization
Zhenmei Shi
Yifei Ming
Ying Fan
Frederic Sala
Yingyu Liang
30
12
0
13 Mar 2023
DPPMask: Masked Image Modeling with Determinantal Point Processes
Junde Xu
Zikai Lin
Donghao Zhou
Yao-Cheng Yang
Xiangyun Liao
Bian Wu
Guangyong Chen
Pheng-Ann Heng
26
1
0
13 Mar 2023
Mark My Words: Dangers of Watermarked Images in ImageNet
Kirill Bykov
Klaus-Robert Muller
Marina M.-C. Höhne
43
4
0
09 Mar 2023
Spawrious: A Benchmark for Fine Control of Spurious Correlation Biases
Aengus Lynch
G. Dovonon
Jean Kaddour
Ricardo M. A. Silva
191
30
0
09 Mar 2023
Learning Human-Compatible Representations for Case-Based Decision Support
Han Liu
Yizhou Tian
Chacha Chen
Shi Feng
Yuxin Chen
Chenhao Tan
28
5
0
06 Mar 2023
DART: Diversify-Aggregate-Repeat Training Improves Generalization of Neural Networks
Samyak Jain
Sravanti Addepalli
P. Sahu
Priyam Dey
R. Venkatesh Babu
MoMe
OOD
43
20
0
28 Feb 2023
Dataset Interfaces: Diagnosing Model Failures Using Controllable Counterfactual Generation
Joshua Vendrow
Saachi Jain
Logan Engstrom
A. Madry
OOD
17
34
0
15 Feb 2023
Benchmarking Robustness to Adversarial Image Obfuscations
Florian Stimberg
Ayan Chakrabarti
Chun-Ta Lu
Hussein Hazimeh
Otilia Stretcu
...
Merve Kaya
Cyrus Rashtchian
Ariel Fuxman
Mehmet Tek
Sven Gowal
AAML
32
10
0
30 Jan 2023
Discovering and Mitigating Visual Biases through Keyword Explanation
Younghyun Kim
Sangwoo Mo
Minkyu Kim
Kyungmin Lee
Jaeho Lee
Jinwoo Shin
40
32
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26 Jan 2023
On the Connection between Invariant Learning and Adversarial Training for Out-of-Distribution Generalization
Shiji Xin
Yifei Wang
Jingtong Su
Yisen Wang
OOD
21
7
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18 Dec 2022
Improving group robustness under noisy labels using predictive uncertainty
Dongpin Oh
Dae Lee
Jeunghyun Byun
Bonggun Shin
UQCV
23
3
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14 Dec 2022
A Whac-A-Mole Dilemma: Shortcuts Come in Multiples Where Mitigating One Amplifies Others
Zhiheng Li
Ivan Evtimov
Albert Gordo
C. Hazirbas
Tal Hassner
Cristian Canton Ferrer
Chenliang Xu
Mark Ibrahim
34
71
0
09 Dec 2022
Spuriosity Rankings: Sorting Data to Measure and Mitigate Biases
Mazda Moayeri
Wenxiao Wang
Sahil Singla
S. Feizi
69
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05 Dec 2022
Chroma-VAE: Mitigating Shortcut Learning with Generative Classifiers
Wanqian Yang
Polina Kirichenko
Micah Goldblum
A. Wilson
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30
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Delving into Out-of-Distribution Detection with Vision-Language Representations
Yifei Ming
Ziyan Cai
Jiuxiang Gu
Yiyou Sun
W. Li
Yixuan Li
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OODD
52
157
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ModelDiff: A Framework for Comparing Learning Algorithms
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Sung Min Park
Andrew Ilyas
A. Madry
SyDa
51
26
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Beyond Attentive Tokens: Incorporating Token Importance and Diversity for Efficient Vision Transformers
Sifan Long
Z. Zhao
Jimin Pi
Sheng-sheng Wang
Jingdong Wang
22
29
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On Feature Learning in the Presence of Spurious Correlations
Pavel Izmailov
Polina Kirichenko
Nate Gruver
A. Wilson
36
117
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20 Oct 2022
Free Fine-tuning: A Plug-and-Play Watermarking Scheme for Deep Neural Networks
Run Wang
Jixing Ren
Boheng Li
Tianyi She
Wenhui Zhang
Liming Fang
Jing Chen
Chao Shen
Lina Wang
WIGM
32
16
0
14 Oct 2022
In What Ways Are Deep Neural Networks Invariant and How Should We Measure This?
Henry Kvinge
Tegan H. Emerson
Grayson Jorgenson
Scott Vasquez
T. Doster
Jesse D. Lew
51
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07 Oct 2022
MaskTune: Mitigating Spurious Correlations by Forcing to Explore
Saeid Asgari Taghanaki
Aliasghar Khani
Fereshte Khani
A. Gholami
Linh-Tam Tran
Ali Mahdavi-Amiri
Ghassan Hamarneh
AAML
41
45
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30 Sep 2022
Importance Tempering: Group Robustness for Overparameterized Models
Yiping Lu
Wenlong Ji
Zachary Izzo
Lexing Ying
42
7
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19 Sep 2022
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