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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 / 1,487 papers shown
Title
Texture Re-scalable Universal Adversarial Perturbation
Texture Re-scalable Universal Adversarial PerturbationIEEE Transactions on Information Forensics and Security (IEEE TIFS), 2024
Yihao Huang
Qing Guo
Felix Juefei-Xu
Ming Hu
Yang Liu
Simeng Qin
Geguang Pu
Yang Liu
AAML
298
11
0
10 Jun 2024
Convolution and Attention-Free Mamba-based Cardiac Image Segmentation
Convolution and Attention-Free Mamba-based Cardiac Image SegmentationIEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2024
Abbas Khan
Muhammad Asad
Ziquan Liu
C. Roney
Gregory Slabaugh
Mamba
199
7
0
09 Jun 2024
Grounding Continuous Representations in Geometry: Equivariant Neural Fields
Grounding Continuous Representations in Geometry: Equivariant Neural FieldsInternational Conference on Learning Representations (ICLR), 2024
David R. Wessels
David M. Knigge
Samuele Papa
Riccardo Valperga
Sharvaree P. Vadgama
E. Gavves
Erik J. Bekkers
638
13
0
09 Jun 2024
Clarifying Myths About the Relationship Between Shape Bias, Accuracy,
  and Robustness
Clarifying Myths About the Relationship Between Shape Bias, Accuracy, and RobustnessCanadian Conference on Computer and Robot Vision (CRV), 2023
Zahra Golpayegani
Patrick St-Amant
Nizar Bouguila
239
1
0
07 Jun 2024
Learning Divergence Fields for Shift-Robust Graph Representations
Learning Divergence Fields for Shift-Robust Graph RepresentationsInternational Conference on Machine Learning (ICML), 2024
Qitian Wu
Fan Nie
Chenxiao Yang
Junchi Yan
OOD
259
2
0
07 Jun 2024
Evaluating Durability: Benchmark Insights into Multimodal Watermarking
Evaluating Durability: Benchmark Insights into Multimodal Watermarking
Jielin Qiu
William Jongwon Han
Xuandong Zhao
Shangbang Long
Christos Faloutsos
Lei Li
245
3
0
06 Jun 2024
Enhancing 2D Representation Learning with a 3D Prior
Enhancing 2D Representation Learning with a 3D Prior
Mehmet Aygun
Prithviraj Dhar
Zhicheng Yan
Oisin Mac Aodha
Rakesh Ranjan
SSL
186
1
0
04 Jun 2024
LanEvil: Benchmarking the Robustness of Lane Detection to Environmental
  Illusions
LanEvil: Benchmarking the Robustness of Lane Detection to Environmental Illusions
Tianyuan Zhang
Lu Wang
Hainan Li
Yisong Xiao
Yaning Tan
Aishan Liu
Xianglong Liu
Dacheng Tao
309
21
0
03 Jun 2024
Improving Accuracy-robustness Trade-off via Pixel Reweighted Adversarial
  Training
Improving Accuracy-robustness Trade-off via Pixel Reweighted Adversarial Training
Jiacheng Zhang
Yifan Zhang
Dawei Zhou
Jingfeng Zhang
Tongliang Liu
AAML
210
7
0
02 Jun 2024
DeCoOp: Robust Prompt Tuning with Out-of-Distribution Detection
DeCoOp: Robust Prompt Tuning with Out-of-Distribution Detection
Zhi Zhou
Ming Yang
Jiang-Xin Shi
Lan-Zhe Guo
Yu-Feng Li
OODDVLM
210
12
0
01 Jun 2024
Is Synthetic Data all We Need? Benchmarking the Robustness of Models
  Trained with Synthetic Images
Is Synthetic Data all We Need? Benchmarking the Robustness of Models Trained with Synthetic Images
Krishnakant Singh
Thanush Navaratnam
Jannik Holmer
Simone Schaub-Meyer
Stefan Roth
DiffM
234
38
0
30 May 2024
Sharpness-Aware Minimization Enhances Feature Quality via Balanced
  Learning
Sharpness-Aware Minimization Enhances Feature Quality via Balanced Learning
Jacob Mitchell Springer
Vaishnavh Nagarajan
Aditi Raghunathan
329
10
0
30 May 2024
Improving Object Detector Training on Synthetic Data by Starting With a
  Strong Baseline Methodology
Improving Object Detector Training on Synthetic Data by Starting With a Strong Baseline Methodology
Frank Ruis
Alma M. Liezenga
Friso G. Heslinga
Luca Ballan
Thijs A. Eker
Richard J. M. den Hollander
Martin C. van Leeuwen
Judith Dijk
Wyke Huizinga
181
9
0
30 May 2024
MANO: Exploiting Matrix Norm for Unsupervised Accuracy Estimation Under
  Distribution Shifts
MANO: Exploiting Matrix Norm for Unsupervised Accuracy Estimation Under Distribution Shifts
Renchunzi Xie
Ambroise Odonnat
Vasilii Feofanov
Weijian Deng
Jianfeng Zhang
Bo An
321
3
0
29 May 2024
EntProp: High Entropy Propagation for Improving Accuracy and Robustness
EntProp: High Entropy Propagation for Improving Accuracy and Robustness
Shohei Enomoto
AAML
194
1
0
29 May 2024
Views Can Be Deceiving: Improved SSL Through Feature Space Augmentation
Views Can Be Deceiving: Improved SSL Through Feature Space Augmentation
Kimia Hamidieh
Haoran Zhang
Swami Sankaranarayanan
Elisa Kreiss
302
2
0
28 May 2024
WIDIn: Wording Image for Domain-Invariant Representation in
  Single-Source Domain Generalization
WIDIn: Wording Image for Domain-Invariant Representation in Single-Source Domain Generalization
Jiawei Ma
Yulei Niu
Shiyuan Huang
G. Han
Shih-Fu Chang
VLM
164
1
0
28 May 2024
Simplicity Bias of Two-Layer Networks beyond Linearly Separable Data
Simplicity Bias of Two-Layer Networks beyond Linearly Separable Data
Nikita Tsoy
Nikola Konstantinov
208
10
0
27 May 2024
Greedy Growing Enables High-Resolution Pixel-Based Diffusion Models
Greedy Growing Enables High-Resolution Pixel-Based Diffusion Models
C. N. Vasconcelos
Abdullah Rashwan Austin Waters
Trevor Walker
Keyang Xu
Jimmy Yan
...
Wenlei Zhou
Kevin Swersky
David J. Fleet
Jason Baldridge
Oliver Wang
182
4
0
27 May 2024
Grounding Stylistic Domain Generalization with Quantitative Domain Shift
  Measures and Synthetic Scene Images
Grounding Stylistic Domain Generalization with Quantitative Domain Shift Measures and Synthetic Scene Images
Yiran Luo
Joshua Forster Feinglass
Tejas Gokhale
Kuan-Cheng Lee
Chitta Baral
Yezhou Yang
166
4
0
24 May 2024
Exposing Image Classifier Shortcuts with Counterfactual Frequency (CoF) Tables
Exposing Image Classifier Shortcuts with Counterfactual Frequency (CoF) Tables
James Hinns
David Martens
291
4
0
24 May 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
316
0
0
24 May 2024
Understanding the dynamics of the frequency bias in neural networks
Understanding the dynamics of the frequency bias in neural networks
Juan Molina
Mircea Petrache
F. Sahli Costabal
Matías Courdurier
221
4
0
23 May 2024
LucidPPN: Unambiguous Prototypical Parts Network for User-centric
  Interpretable Computer Vision
LucidPPN: Unambiguous Prototypical Parts Network for User-centric Interpretable Computer Vision
Mateusz Pach
Dawid Rymarczyk
K. Lewandowska
Jacek Tabor
Bartosz Zieliñski
235
11
0
23 May 2024
Adversarial Training via Adaptive Knowledge Amalgamation of an Ensemble
  of Teachers
Adversarial Training via Adaptive Knowledge Amalgamation of an Ensemble of Teachers
Shayan Mohajer Hamidi
Linfeng Ye
AAML
248
2
0
22 May 2024
A Label Propagation Strategy for CutMix in Multi-Label Remote Sensing Image Classification
A Label Propagation Strategy for CutMix in Multi-Label Remote Sensing Image ClassificationIEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (IEEE JSTARS), 2024
Tom Burgert
Kai Norman Clasen
Kai Norman Clasen
Tim Siebert
Begüm Demir
418
2
0
22 May 2024
Transparency Distortion Robustness for SOTA Image Segmentation Tasks
Transparency Distortion Robustness for SOTA Image Segmentation Tasks
Volker Knauthe
Arne Rak
Tristan Wirth
Thomas Pollabauer
Simon Metzler
Arjan Kuijper
Dieter W. Fellner
175
3
0
21 May 2024
DeCoDEx: Confounder Detector Guidance for Improved Diffusion-based
  Counterfactual Explanations
DeCoDEx: Confounder Detector Guidance for Improved Diffusion-based Counterfactual ExplanationsInternational Conference on Medical Imaging with Deep Learning (MIDL), 2024
Nima Fathi
Amar Kumar
Brennan Nichyporuk
Mohammad Havaei
Tal Arbel
DiffMCML
262
5
0
15 May 2024
How to Augment for Atmospheric Turbulence Effects on Thermal Adapted
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How to Augment for Atmospheric Turbulence Effects on Thermal Adapted Object Detection Models?
Engin Uzun
Erdem Akagündüz
211
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10 May 2024
Evaluating Adversarial Robustness in the Spatial Frequency Domain
Evaluating Adversarial Robustness in the Spatial Frequency Domain
Keng-Hsin Liao
Chin-Yuan Yeh
Hsi-Wen Chen
Ming-Syan Chen
194
0
0
10 May 2024
Learned feature representations are biased by complexity, learning
  order, position, and more
Learned feature representations are biased by complexity, learning order, position, and more
Andrew Kyle Lampinen
Stephanie C. Y. Chan
Katherine Hermann
AI4CEFaMLSSLOOD
255
18
0
09 May 2024
The Entropy Enigma: Success and Failure of Entropy Minimization
The Entropy Enigma: Success and Failure of Entropy MinimizationInternational Conference on Machine Learning (ICML), 2024
Ori Press
Ravid Shwartz-Ziv
Yann LeCun
Matthias Bethge
UQCV
481
22
0
08 May 2024
Learning Robust Classifiers with Self-Guided Spurious Correlation
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Learning Robust Classifiers with Self-Guided Spurious Correlation MitigationInternational Joint Conference on Artificial Intelligence (IJCAI), 2024
Guangtao Zheng
Wenqian Ye
Aidong Zhang
206
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Mind the Gap Between Synthetic and Real: Utilizing Transfer Learning to
  Probe the Boundaries of Stable Diffusion Generated Data
Mind the Gap Between Synthetic and Real: Utilizing Transfer Learning to Probe the Boundaries of Stable Diffusion Generated Data
Leonhard Hennicke
C. Adriano
Holger Giese
Jan Mathias Koehler
Lukas Schott
DiffM
282
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Deep Oscillatory Neural Network
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C. Vigneswaran
Sayan Ghosh
Kishore Rajendran
A. Gaurav
V. Chakravarthy
118
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Position: Understanding LLMs Requires More Than Statistical
  Generalization
Position: Understanding LLMs Requires More Than Statistical GeneralizationInternational Conference on Machine Learning (ICML), 2024
Patrik Reizinger
Szilvia Ujváry
Anna Mészáros
A. Kerekes
Wieland Brendel
Ferenc Huszár
326
21
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03 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
192
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Style Adaptation for Domain-adaptive Semantic Segmentation
Style Adaptation for Domain-adaptive Semantic Segmentation
Ting Li
Jianshu Chao
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Understanding and Improving CNNs with Complex Structure Tensor: A
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Understanding and Improving CNNs with Complex Structure Tensor: A Biometrics Study
Kevin Hernandez Diaz
J. Bigün
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AED-PADA:Improving Generalizability of Adversarial Example Detection via
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AED-PADA:Improving Generalizability of Adversarial Example Detection via Principal Adversarial Domain Adaptation
Heqi Peng
Yun-an Wang
Ruijie Yang
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165
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Decomposing and Editing Predictions by Modeling Model Computation
Decomposing and Editing Predictions by Modeling Model Computation
Harshay Shah
Andrew Ilyas
Aleksander Madry
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274
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Towards a Novel Perspective on Adversarial Examples Driven by Frequency
Towards a Novel Perspective on Adversarial Examples Driven by Frequency
Zhun Zhang
Yi Zeng
Qihe Liu
Shijie Zhou
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204
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0
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Can We Break Free from Strong Data Augmentations in Self-Supervised
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Can We Break Free from Strong Data Augmentations in Self-Supervised Learning?
Shruthi Gowda
Elahe Arani
Bahram Zonooz
298
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Contrastive Mean-Shift Learning for Generalized Category Discovery
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280
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MAProtoNet: A Multi-scale Attentive Interpretable Prototypical Part
  Network for 3D Magnetic Resonance Imaging Brain Tumor Classification
MAProtoNet: A Multi-scale Attentive Interpretable Prototypical Part Network for 3D Magnetic Resonance Imaging Brain Tumor Classification
Binghua Li
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Toshihisa Tanaka
192
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Self-Supervised Learning of Color Constancy
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Identification of Fine-grained Systematic Errors via Controlled Scene
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Adapting LLaMA Decoder to Vision Transformer
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Ping Luo
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BruSLeAttack: A Query-Efficient Score-Based Black-Box Sparse Adversarial
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