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ImageNet-trained CNNs are biased towards texture; increasing shape bias
  improves accuracy and robustness
v1v2v3 (latest)

ImageNet-trained CNNs are biased towards texture; increasing shape bias improves accuracy and robustness

29 November 2018
Robert Geirhos
Patricia Rubisch
Claudio Michaelis
Matthias Bethge
Felix Wichmann
Wieland Brendel
ArXiv (abs)PDFHTML

Papers citing "ImageNet-trained CNNs are biased towards texture; increasing shape bias improves accuracy and robustness"

50 / 1,489 papers shown
Robustmix: Improving Robustness by Regularizing the Frequency Bias of
  Deep Nets
Robustmix: Improving Robustness by Regularizing the Frequency Bias of Deep Nets
Jonas Ngnawé
Marianne Abémgnigni Njifon
Jonathan Heek
Yann N. Dauphin
OOD
110
6
0
06 Apr 2023
Deep Perceptual Similarity is Adaptable to Ambiguous Contexts
Deep Perceptual Similarity is Adaptable to Ambiguous Contexts
G. Pihlgren
Fredrik Sandin
Marcus Liwicki
191
0
0
05 Apr 2023
ImageNet-E: Benchmarking Neural Network Robustness via Attribute Editing
ImageNet-E: Benchmarking Neural Network Robustness via Attribute EditingComputer Vision and Pattern Recognition (CVPR), 2023
Xiaodan Li
YueFeng Chen
Yao Zhu
Shuhui Wang
Rong Zhang
Hui Xue
247
34
0
30 Mar 2023
Implicit Visual Bias Mitigation by Posterior Estimate Sharpening of a Bayesian Neural Network
Rebecca S Stone
Nishant Ravikumar
A. Bulpitt
David C. Hogg
BDL
291
0
0
29 Mar 2023
SDAT: Sub-Dataset Alternation Training for Improved Image Demosaicing
SDAT: Sub-Dataset Alternation Training for Improved Image DemosaicingIEEE Open Journal of Signal Processing (IEEE Open J. Signal Process.), 2023
Yuval Becker
R. Nossek
Tomer Peleg
184
1
0
28 Mar 2023
GeoNet: Benchmarking Unsupervised Adaptation across Geographies
GeoNet: Benchmarking Unsupervised Adaptation across GeographiesComputer Vision and Pattern Recognition (CVPR), 2023
Tarun Kalluri
Wangdong Xu
Manmohan Chandraker
OOD
201
18
0
27 Mar 2023
Text-to-Image Diffusion Models are Zero-Shot Classifiers
Text-to-Image Diffusion Models are Zero-Shot ClassifiersNeural Information Processing Systems (NeurIPS), 2023
Kevin Clark
P. Jaini
DiffMVLM
381
151
0
27 Mar 2023
Image Quality-aware Diagnosis via Meta-knowledge Co-embedding
Image Quality-aware Diagnosis via Meta-knowledge Co-embeddingComputer Vision and Pattern Recognition (CVPR), 2023
Haoxuan Che
Si Chen
Haoxing Chen
199
20
0
27 Mar 2023
Human Preference Score: Better Aligning Text-to-Image Models with Human
  Preference
Human Preference Score: Better Aligning Text-to-Image Models with Human PreferenceIEEE International Conference on Computer Vision (ICCV), 2023
Xiaoshi Wu
Keqiang Sun
Feng Zhu
Rui Zhao
Jiaming Song
245
266
0
25 Mar 2023
TRAK: Attributing Model Behavior at Scale
TRAK: Attributing Model Behavior at ScaleInternational Conference on Machine Learning (ICML), 2023
Sung Min Park
Kristian Georgiev
Andrew Ilyas
Guillaume Leclerc
Aleksander Madry
TDI
400
230
0
24 Mar 2023
Enhancing Multiple Reliability Measures via Nuisance-extended
  Information Bottleneck
Enhancing Multiple Reliability Measures via Nuisance-extended Information BottleneckComputer Vision and Pattern Recognition (CVPR), 2023
Jongheon Jeong
Sihyun Yu
Hankook Lee
Jinwoo Shin
AAML
178
1
0
24 Mar 2023
On the Efficacy of Generalization Error Prediction Scoring Functions
On the Efficacy of Generalization Error Prediction Scoring Functions
Puja Trivedi
Danai Koutra
Jayaraman J. Thiagarajan
248
0
0
23 Mar 2023
A Closer Look at Model Adaptation using Feature Distortion and
  Simplicity Bias
A Closer Look at Model Adaptation using Feature Distortion and Simplicity BiasInternational Conference on Learning Representations (ICLR), 2023
Puja Trivedi
Danai Koutra
Jayaraman J. Thiagarajan
AAML
190
21
0
23 Mar 2023
An Extended Study of Human-like Behavior under Adversarial Training
An Extended Study of Human-like Behavior under Adversarial Training
Paul Gavrikov
J. Keuper
Margret Keuper
AAML
163
11
0
22 Mar 2023
Continual Learning in the Presence of Spurious Correlation
Continual Learning in the Presence of Spurious Correlation
Donggyu Lee
Sangwon Jung
Taesup Moon
CLL
234
1
0
21 Mar 2023
Texture Learning Domain Randomization for Domain Generalized
  Segmentation
Texture Learning Domain Randomization for Domain Generalized SegmentationIEEE International Conference on Computer Vision (ICCV), 2023
Sunghwan Kim
Dae-Hwan Kim
Hoseong Kim
363
34
0
21 Mar 2023
Did You Train on My Dataset? Towards Public Dataset Protection with
  Clean-Label Backdoor Watermarking
Did You Train on My Dataset? Towards Public Dataset Protection with Clean-Label Backdoor WatermarkingSIGKDD Explorations (SIGKDD Explor.), 2023
Ruixiang Tang
Qizhang Feng
Ninghao Liu
Fan Yang
Helen Zhou
271
62
0
20 Mar 2023
SeiT: Storage-Efficient Vision Training with Tokens Using 1% of Pixel
  Storage
SeiT: Storage-Efficient Vision Training with Tokens Using 1% of Pixel StorageIEEE International Conference on Computer Vision (ICCV), 2023
Song Park
Sanghyuk Chun
Byeongho Heo
Wonjae Kim
Sangdoo Yun
VLMViT
282
9
0
20 Mar 2023
Benchmarking Robustness of 3D Object Detection to Common Corruptions in
  Autonomous Driving
Benchmarking Robustness of 3D Object Detection to Common Corruptions in Autonomous DrivingComputer Vision and Pattern Recognition (CVPR), 2023
Yinpeng Dong
Cai Kang
Jinlai Zhang
Zijian Zhu
Yikai Wang
Xiaohu Yang
Hang Su
Xingxing Wei
Jun Zhu
3DPC
221
143
0
20 Mar 2023
A New Benchmark: On the Utility of Synthetic Data with Blender for Bare
  Supervised Learning and Downstream Domain Adaptation
A New Benchmark: On the Utility of Synthetic Data with Blender for Bare Supervised Learning and Downstream Domain AdaptationComputer Vision and Pattern Recognition (CVPR), 2023
Hui Tang
Kui Jia
OOD
340
18
0
16 Mar 2023
Domain Generalization via Nuclear Norm Regularization
Domain Generalization via Nuclear Norm Regularization
Zhenmei Shi
Yifei Ming
Ying Fan
Frederic Sala
Yingyu Liang
269
19
0
13 Mar 2023
Modality-Agnostic Debiasing for Single Domain Generalization
Modality-Agnostic Debiasing for Single Domain GeneralizationComputer Vision and Pattern Recognition (CVPR), 2023
Sanqing Qu
Yingwei Pan
Guang-Sheng Chen
Ting Yao
Changjun Jiang
Tao Mei
164
31
0
13 Mar 2023
Interventional Bag Multi-Instance Learning On Whole-Slide Pathological
  Images
Interventional Bag Multi-Instance Learning On Whole-Slide Pathological ImagesComputer Vision and Pattern Recognition (CVPR), 2023
Tiancheng Lin
Zhimiao Yu
Hongyu Hu
Yi Xu
Changyi Chen
284
125
0
13 Mar 2023
RotoGBML: Towards Out-of-Distribution Generalization for Gradient-Based
  Meta-Learning
RotoGBML: Towards Out-of-Distribution Generalization for Gradient-Based Meta-LearningIEEE International Conference on Multimedia and Expo (ICME), 2023
Min Zhang
Zifeng Zhuang
Zhitao Wang
Xuetao Zhang
Wen-Bin Li
171
7
0
12 Mar 2023
Distributionally Robust Optimization with Probabilistic Group
Distributionally Robust Optimization with Probabilistic GroupAAAI Conference on Artificial Intelligence (AAAI), 2023
Soumya Suvra Ghosal
Shouqing Yang
OOD
119
13
0
10 Mar 2023
Mark My Words: Dangers of Watermarked Images in ImageNet
Mark My Words: Dangers of Watermarked Images in ImageNet
Kirill Bykov
Klaus-Robert Muller
Marina M.-C. Höhne
158
7
0
09 Mar 2023
Spawrious: A Benchmark for Fine Control of Spurious Correlation Biases
Spawrious: A Benchmark for Fine Control of Spurious Correlation Biases
Aengus Lynch
G. Dovonon
Jean Kaddour
Ricardo M. A. Silva
545
39
0
09 Mar 2023
Logit Margin Matters: Improving Transferable Targeted Adversarial Attack
  by Logit Calibration
Logit Margin Matters: Improving Transferable Targeted Adversarial Attack by Logit CalibrationIEEE Transactions on Information Forensics and Security (IEEE TIFS), 2023
Juanjuan Weng
Zhiming Luo
Zhun Zhong
Shaozi Li
Andrii Zadaianchuk
AAML
190
27
0
07 Mar 2023
PixMIM: Rethinking Pixel Reconstruction in Masked Image Modeling
PixMIM: Rethinking Pixel Reconstruction in Masked Image Modeling
Yuan Liu
Songyang Zhang
Jiacheng Chen
Kai-xiang Chen
Dahua Lin
251
38
0
04 Mar 2023
Fine-Grained ImageNet Classification in the Wild
Fine-Grained ImageNet Classification in the Wild
Maria Lymperaiou
Konstantinos Thomas
Giorgos Stamou
VLM
163
1
0
04 Mar 2023
Linear CNNs Discover the Statistical Structure of the Dataset Using Only
  the Most Dominant Frequencies
Linear CNNs Discover the Statistical Structure of the Dataset Using Only the Most Dominant FrequenciesInternational Conference on Machine Learning (ICML), 2023
Hannah Pinson
Joeri Lenaerts
V. Ginis
297
5
0
03 Mar 2023
Self-attention in Vision Transformers Performs Perceptual Grouping, Not
  Attention
Self-attention in Vision Transformers Performs Perceptual Grouping, Not Attention
Paria Mehrani
John K. Tsotsos
228
39
0
02 Mar 2023
Dropout Reduces Underfitting
Dropout Reduces UnderfittingInternational Conference on Machine Learning (ICML), 2023
Zhuang Liu
Zhi-Qin John Xu
Joseph Jin
Zhiqiang Shen
Trevor Darrell
403
56
0
02 Mar 2023
To Make Yourself Invisible with Adversarial Semantic Contours
To Make Yourself Invisible with Adversarial Semantic ContoursComputer Vision and Image Understanding (CVIU), 2023
Yichi Zhang
Zijian Zhu
Hang Su
Jun Zhu
Shibao Zheng
Yuan He
H. Xue
AAML
146
5
0
01 Mar 2023
Edit at your own risk: evaluating the robustness of edited models to
  distribution shifts
Edit at your own risk: evaluating the robustness of edited models to distribution shifts
Davis Brown
Charles Godfrey
Cody Nizinski
Jonathan Tu
Henry Kvinge
KELM
254
8
0
28 Feb 2023
DART: Diversify-Aggregate-Repeat Training Improves Generalization of
  Neural Networks
DART: Diversify-Aggregate-Repeat Training Improves Generalization of Neural NetworksComputer Vision and Pattern Recognition (CVPR), 2023
Samyak Jain
Sravanti Addepalli
P. Sahu
Priyam Dey
R. Venkatesh Babu
MoMeOOD
326
27
0
28 Feb 2023
A Comprehensive Study on Robustness of Image Classification Models:
  Benchmarking and Rethinking
A Comprehensive Study on Robustness of Image Classification Models: Benchmarking and RethinkingInternational Journal of Computer Vision (IJCV), 2023
Yu Xie
Yinpeng Dong
Wenzhao Xiang
Xiaohu Yang
Hang Su
Junyi Zhu
YueFeng Chen
Yuan He
H. Xue
Shibao Zheng
OODVLMAAML
332
117
0
28 Feb 2023
Revisiting Variable Ordering for Real Quantifier Elimination using
  Machine Learning
Revisiting Variable Ordering for Real Quantifier Elimination using Machine Learning
John Hester
Briland Hitaj
Grant Passmore
S. Owre
N. Shankar
Eric Yeh
95
1
0
27 Feb 2023
Learning to Generalize towards Unseen Domains via a Content-Aware Style
  Invariant Model for Disease Detection from Chest X-rays
Learning to Generalize towards Unseen Domains via a Content-Aware Style Invariant Model for Disease Detection from Chest X-raysIEEE journal of biomedical and health informatics (IEEE JBHI), 2023
Mohammad Zunaed
M. Haque
Taufiq Hasan
OOD
276
7
0
27 Feb 2023
Spatial Bias for Attention-free Non-local Neural Networks
Spatial Bias for Attention-free Non-local Neural NetworksExpert systems with applications (ESWA), 2023
Junhyung Go
Jongbin Ryu
SSL
141
11
0
24 Feb 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
188
1
0
22 Feb 2023
Steerable Equivariant Representation Learning
Steerable Equivariant Representation Learning
Sangnie Bhardwaj
Willie McClinton
Tongzhou Wang
Guillaume Lajoie
Chen Sun
Phillip Isola
Dilip Krishnan
OODLLMSV
236
5
0
22 Feb 2023
Effects of Architectures on Continual Semantic Segmentation
Effects of Architectures on Continual Semantic Segmentation
Tobias Kalb
Niket Ahuja
Jingxing Zhou
Jürgen Beyerer
CLL
309
4
0
21 Feb 2023
Seasoning Model Soups for Robustness to Adversarial and Natural
  Distribution Shifts
Seasoning Model Soups for Robustness to Adversarial and Natural Distribution ShiftsComputer Vision and Pattern Recognition (CVPR), 2023
Francesco Croce
Sylvestre-Alvise Rebuffi
Evan Shelhamer
Sven Gowal
AAML
208
21
0
20 Feb 2023
Simple Disentanglement of Style and Content in Visual Representations
Simple Disentanglement of Style and Content in Visual RepresentationsInternational Conference on Machine Learning (ICML), 2023
Lilian Ngweta
Subha Maity
Alex Gittens
Yuekai Sun
Mikhail Yurochkin
CoGeDRL
293
12
0
20 Feb 2023
Revisiting Hidden Representations in Transfer Learning for Medical
  Imaging
Revisiting Hidden Representations in Transfer Learning for Medical Imaging
Dovile Juodelyte
Amelia Jiménez-Sánchez
Veronika Cheplygina
OOD
279
2
0
16 Feb 2023
Human-Centric Multimodal Machine Learning: Recent Advances and Testbed
  on AI-based Recruitment
Human-Centric Multimodal Machine Learning: Recent Advances and Testbed on AI-based RecruitmentSN Computer Science (SN Comput. Sci.), 2023
Alejandro Peña
Ignacio Serna
Aythami Morales
Julian Fierrez
Alfonso Ortega
Ainhoa Herrarte
Manuel Alcántara
J. Ortega-Garcia
FaML
203
56
0
13 Feb 2023
Stochastic Surprisal: An inferential measurement of Free Energy in
  Neural Networks
Stochastic Surprisal: An inferential measurement of Free Energy in Neural NetworksFrontiers in Neuroscience (Front. Neurosci.), 2023
Mohit Prabhushankar
Ghassan Al-Regib
195
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11 Feb 2023
Scaling Vision Transformers to 22 Billion Parameters
Scaling Vision Transformers to 22 Billion ParametersInternational Conference on Machine Learning (ICML), 2023
Mostafa Dehghani
Josip Djolonga
Basil Mustafa
Piotr Padlewski
Jonathan Heek
...
Mario Luvcić
Xiaohua Zhai
Daniel Keysers
Jeremiah Harmsen
N. Houlsby
MLLM
407
774
0
10 Feb 2023
Shortcut Detection with Variational Autoencoders
Shortcut Detection with Variational AutoencodersIEEE International Joint Conference on Neural Network (IJCNN), 2023
Nicolas Müller
Simon Roschmann
Shahbaz Khan
Philip Sperl
Konstantin Böttinger
AAMLDRL
249
3
0
08 Feb 2023
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