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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
Classification robustness to common optical aberrations
Classification robustness to common optical aberrations
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Alexander Braun
Margret Keuper
134
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WSAM: Visual Explanations from Style Augmentation as Adversarial
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WSAM: Visual Explanations from Style Augmentation as Adversarial Attacker and Their Influence in Image ClassificationVISIGRAPP (VISIGRAPP), 2023
Felipe Moreno-Vera
E. Medina
Jorge Poco
149
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0
29 Aug 2023
Gaze-Informed Vision Transformers: Predicting Driving Decisions Under Uncertainty
Gaze-Informed Vision Transformers: Predicting Driving Decisions Under Uncertainty
Sharath C. Koorathota
N. Papadopoulos
Jiaqing Ma
Shruti C. Kumar
Xiaoxiao Sun
Arunesh Mittal
Patrick Adelman
P. Sajda
172
1
0
26 Aug 2023
Don't Look into the Sun: Adversarial Solarization Attacks on Image
  Classifiers
Don't Look into the Sun: Adversarial Solarization Attacks on Image Classifiers
Paul Gavrikov
J. Keuper
AAML
127
0
0
24 Aug 2023
Approaching human 3D shape perception with neurally mappable models
Approaching human 3D shape perception with neurally mappable modelsOpen Mind (OM), 2023
Thomas P. O'Connell
Tyler Bonnen
Yoni Friedman
A. Tewari
J. Tenenbaum
Vincent Sitzmann
Nancy Kanwisher
3DH3DV
180
7
0
22 Aug 2023
Foundation Model-oriented Robustness: Robust Image Model Evaluation with
  Pretrained Models
Foundation Model-oriented Robustness: Robust Image Model Evaluation with Pretrained ModelsInternational Conference on Learning Representations (ICLR), 2023
Peiyan Zhang
Hao Liu
Chaozhuo Li
Xing Xie
Sunghun Kim
Haohan Wang
VLMOOD
344
9
0
21 Aug 2023
Towards Generalizable Morph Attack Detection with Consistency
  Regularization
Towards Generalizable Morph Attack Detection with Consistency Regularization
Hossein Kashiani
Niloufar Alipour Talemi
Mohammad Saeed Ebrahimi Saadabadi
Nasser M. Nasrabadi
AAML
157
2
0
20 Aug 2023
Stable and Causal Inference for Discriminative Self-supervised Deep
  Visual Representations
Stable and Causal Inference for Discriminative Self-supervised Deep Visual RepresentationsIEEE International Conference on Computer Vision (ICCV), 2023
Yuewei Yang
Hai Helen Li
Yiran Chen
CMLOOD
254
2
0
16 Aug 2023
Large-kernel Attention for Efficient and Robust Brain Lesion
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Large-kernel Attention for Efficient and Robust Brain Lesion Segmentation
Liam Chalcroft
Ruben Lourencco Pereira
Mikael Brudfors
Andrew S. Kayser
M. D’Esposito
Cathy J. Price
Ioannis Pappas
John Ashburner
ViT3DVMedIm
218
9
0
14 Aug 2023
On the Interplay of Convolutional Padding and Adversarial Robustness
On the Interplay of Convolutional Padding and Adversarial Robustness
Paul Gavrikov
J. Keuper
AAML
275
4
0
12 Aug 2023
DIG In: Evaluating Disparities in Image Generations with Indicators for
  Geographic Diversity
DIG In: Evaluating Disparities in Image Generations with Indicators for Geographic Diversity
Melissa Hall
Candace Ross
Adina Williams
Nicolas Carion
M. Drozdzal
Adriana Romero Soriano
EGVM
353
9
0
11 Aug 2023
Towards Instance-adaptive Inference for Federated Learning
Towards Instance-adaptive Inference for Federated LearningIEEE International Conference on Computer Vision (ICCV), 2023
Chunhui Feng
Kai Yu
Nian Liu
Xinxing Xu
Salman Khan
W. Zuo
FedML
188
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11 Aug 2023
VisAlign: Dataset for Measuring the Degree of Alignment between AI and
  Humans in Visual Perception
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
361
2
0
03 Aug 2023
Learning to Generate Training Datasets for Robust Semantic Segmentation
Learning to Generate Training Datasets for Robust Semantic SegmentationIEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2023
Marwane Hariat
Olivier Laurent
Rémi Kazmierczak
Shihao Zhang
Andrei Bursuc
Angela Yao
Gianni Franchi
UQCV
300
4
0
01 Aug 2023
The RoboDepth Challenge: Methods and Advancements Towards Robust Depth
  Estimation
The RoboDepth Challenge: Methods and Advancements Towards Robust Depth Estimation
Lingdong Kong
Yaru Niu
Shaoyuan Xie
Hanjiang Hu
Lai Xing Ng
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Zhenyu Li
Runze Chen
Haiyong Luo
Fang Zhao
Jing Yu
267
19
0
27 Jul 2023
Do humans and Convolutional Neural Networks attend to similar areas
  during scene classification: Effects of task and image type
Do humans and Convolutional Neural Networks attend to similar areas during scene classification: Effects of task and image typeApplied Sciences (Appl. Sci.), 2023
Romy Müller
Marcel Duerschmidt
Julian Ullrich
Carsten Knoll
Sascha Weber
Steffen Seitz
HAI
228
8
0
25 Jul 2023
Does Progress On Object Recognition Benchmarks Improve Real-World
  Generalization?
Does Progress On Object Recognition Benchmarks Improve Real-World Generalization?
Megan Richards
Polina Kirichenko
Diane Bouchacourt
Mark Ibrahim
VLM
267
14
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24 Jul 2023
Improving Out-of-Distribution Robustness of Classifiers via Generative
  Interpolation
Improving Out-of-Distribution Robustness of Classifiers via Generative Interpolation
Haoyue Bai
Ceyuan Yang
Yinghao Xu
Shueng-Han Gary Chan
Bolei Zhou
OODD
175
4
0
23 Jul 2023
HybridAugment++: Unified Frequency Spectra Perturbations for Model
  Robustness
HybridAugment++: Unified Frequency Spectra Perturbations for Model RobustnessIEEE International Conference on Computer Vision (ICCV), 2023
M. K. Yucel
R. G. Cinbis
Pinar Duygulu
AAML
219
13
0
21 Jul 2023
What do neural networks learn in image classification? A frequency
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What do neural networks learn in image classification? A frequency shortcut perspectiveIEEE International Conference on Computer Vision (ICCV), 2023
Shunxin Wang
Raymond N. J. Veldhuis
Christoph Brune
N. Strisciuglio
241
42
0
19 Jul 2023
Towards Building More Robust Models with Frequency Bias
Towards Building More Robust Models with Frequency BiasIEEE International Conference on Computer Vision (ICCV), 2023
Qingwen Bu
Dong Huang
Heming Cui
AAML
253
19
0
19 Jul 2023
Fix your downsampling ASAP! Be natively more robust via Aliasing and Spectral Artifact free Pooling
Fix your downsampling ASAP! Be natively more robust via Aliasing and Spectral Artifact free Pooling
Julia Grabinski
Steffen Jung
J. Keuper
Margret Keuper
AAML
261
9
0
19 Jul 2023
Adversarial Bayesian Augmentation for Single-Source Domain
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Adversarial Bayesian Augmentation for Single-Source Domain GeneralizationIEEE International Conference on Computer Vision (ICCV), 2023
Sheng Cheng
Tejas Gokhale
Yezhou Yang
OOD
275
27
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18 Jul 2023
On the Fly Neural Style Smoothing for Risk-Averse Domain Generalization
On the Fly Neural Style Smoothing for Risk-Averse Domain GeneralizationIEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2023
Akshay Mehra
Yunbei Zhang
B. Kailkhura
Jihun Hamm
306
3
0
17 Jul 2023
Does Visual Pretraining Help End-to-End Reasoning?
Does Visual Pretraining Help End-to-End Reasoning?Neural Information Processing Systems (NeurIPS), 2023
Chen Sun
Calvin Luo
Xingyi Zhou
Anurag Arnab
Cordelia Schmid
OCLLRMViT
323
4
0
17 Jul 2023
Complementary Frequency-Varying Awareness Network for Open-Set Fine-Grained Image Recognition
Complementary Frequency-Varying Awareness Network for Open-Set Fine-Grained Image Recognition
Qiulei Dong
Hong Wang
Qiulei Dong
306
1
0
14 Jul 2023
On the ability of CNNs to extract color invariant intensity based
  features for image classification
On the ability of CNNs to extract color invariant intensity based features for image classification
Pradyumna Elavarthi
James Lee
Anca L. Ralescu
144
2
0
13 Jul 2023
Probabilistic Test-Time Generalization by Variational Neighbor-Labeling
Probabilistic Test-Time Generalization by Variational Neighbor-Labeling
Sameer Ambekar
Zehao Xiao
Jiayi Shen
Xiantong Zhen
Cees G. M. Snoek
BDLOOD
346
2
0
08 Jul 2023
Joint Perceptual Learning for Enhancement and Object Detection in
  Underwater Scenarios
Joint Perceptual Learning for Enhancement and Object Detection in Underwater Scenarios
C. Fu
Wanqi Yuan
Jiewen Xiao
Risheng Liu
Xin-Yue Fan
180
3
0
07 Jul 2023
Detecting Images Generated by Deep Diffusion Models using their Local Intrinsic Dimensionality
P. Lorenz
Ricard Durall
J. Keuper
DiffM
599
51
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05 Jul 2023
Towards Brain Inspired Design for Addressing the Shortcomings of ANNs
Towards Brain Inspired Design for Addressing the Shortcomings of ANNs
F. Sarfraz
Elahe Arani
Bahram Zonooz
108
1
0
30 Jun 2023
What Makes ImageNet Look Unlike LAION
What Makes ImageNet Look Unlike LAION
Ali Shirali
Moritz Hardt
106
12
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27 Jun 2023
A Spectral Perspective towards Understanding and Improving Adversarial
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A Spectral Perspective towards Understanding and Improving Adversarial Robustness
Binxiao Huang
Rui Lin
Chaofan Tao
Ngai Wong
AAML
136
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0
25 Jun 2023
On Sensitivity and Robustness of Normalization Schemes to Input
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On Sensitivity and Robustness of Normalization Schemes to Input Distribution Shifts in Automatic MR Image DiagnosisInternational Conference on Medical Imaging with Deep Learning (MIDL), 2023
Divyam Madaan
D. Sodickson
K. Cho
S. Chopra
OODMedIm
245
1
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23 Jun 2023
Identifying and Disentangling Spurious Features in Pretrained Image
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Identifying and Disentangling Spurious Features in Pretrained Image Representations
R. Darbinyan
Hrayr Harutyunyan
Aram H. Markosyan
Hrant Khachatrian
164
4
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22 Jun 2023
A Comprehensive Study on the Robustness of Image Classification and
  Object Detection in Remote Sensing: Surveying and Benchmarking
A Comprehensive Study on the Robustness of Image Classification and Object Detection in Remote Sensing: Surveying and BenchmarkingJournal of remote sensing (JRS), 2023
Shaohui Mei
Jiawei Lian
Xiaofei Wang
Yuru Su
Mingyang Ma
Lap-Pui Chau
AAML
372
14
0
21 Jun 2023
Simple and Fast Group Robustness by Automatic Feature Reweighting
Simple and Fast Group Robustness by Automatic Feature ReweightingInternational Conference on Machine Learning (ICML), 2023
Shi Qiu
Andres Potapczynski
Pavel Izmailov
A. Wilson
OOD
275
75
0
19 Jun 2023
RemoteCLIP: A Vision Language Foundation Model for Remote Sensing
RemoteCLIP: A Vision Language Foundation Model for Remote SensingIEEE Transactions on Geoscience and Remote Sensing (TGRS), 2023
Fan Liu
Delong Chen
Zhan-Rong Guan
Xiaocong Zhou
Jiale Zhu
Qiaolin Ye
Liyong Fu
Jun Zhou
VLM
532
464
0
19 Jun 2023
Shape Guided Gradient Voting for Domain Generalization
Shape Guided Gradient Voting for Domain Generalization
Jiaqi Xu
Yuwang Wang
Xuejin Chen
196
0
0
19 Jun 2023
Out of Distribution Generalization via Interventional Style Transfer in
  Single-Cell Microscopy
Out of Distribution Generalization via Interventional Style Transfer in Single-Cell Microscopy
Wolfgang M. Pernice
Michael Doron
A. Quach
Aditya Pratapa
Sultan Kenjeyev
N. Veaux
Michio Hirano
Juan C. Caicedo
OOD
94
9
0
15 Jun 2023
Robustness Analysis on Foundational Segmentation Models
Robustness Analysis on Foundational Segmentation Models
Madeline Chantry Schiappa
Shehreen Azad
V. Sachidanand
Yunhao Ge
O. Mikšík
Yogesh S Rawat
Vibhav Vineet
OODVLMAAML
220
12
0
15 Jun 2023
Robustness of SAM: Segment Anything Under Corruptions and Beyond
Robustness of SAM: Segment Anything Under Corruptions and Beyond
Yu Qiao
Chaoning Zhang
Taegoo Kang
Donghun Kim
Chenshuang Zhang
Choong Seon Hong
AAML
201
37
0
13 Jun 2023
Frequency-Based Vulnerability Analysis of Deep Learning Models against
  Image Corruptions
Frequency-Based Vulnerability Analysis of Deep Learning Models against Image Corruptions
Harshitha Machiraju
Michael H. Herzog
P. Frossard
162
0
0
12 Jun 2023
Precise and Generalized Robustness Certification for Neural Networks
Precise and Generalized Robustness Certification for Neural NetworksUSENIX Security Symposium (USENIX Security), 2023
Yuanyuan Yuan
Shuai Wang
Z. Su
AAML
183
4
0
11 Jun 2023
EventCLIP: Adapting CLIP for Event-based Object Recognition
EventCLIP: Adapting CLIP for Event-based Object Recognition
Ziyi Wu
Xudong Liu
Igor Gilitschenski
VLM
291
28
0
10 Jun 2023
Leveraging Large Language Models for Scalable Vector Graphics-Driven
  Image Understanding
Leveraging Large Language Models for Scalable Vector Graphics-Driven Image UnderstandingIEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2023
Mu Cai
Zeyi Huang
Yuheng Li
Utkarsh Ojha
Haohan Wang
Yong Jae Lee
VLM
194
4
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09 Jun 2023
RDumb: A simple approach that questions our progress in continual
  test-time adaptation
RDumb: A simple approach that questions our progress in continual test-time adaptationNeural Information Processing Systems (NeurIPS), 2023
Ori Press
Steffen Schneider
Matthias Kümmerer
Matthias Bethge
TTA
305
46
0
08 Jun 2023
Connectional-Style-Guided Contextual Representation Learning for Brain
  Disease Diagnosis
Connectional-Style-Guided Contextual Representation Learning for Brain Disease Diagnosis
Gongshu Wang
Ning Jiang
Yunxiao Ma
Tiantian Liu
Duanduan Chen
Jinglong Wu
Guoqi Li
Dong Liang
Tianyi Yan
MedIm
230
2
0
08 Jun 2023
Degraded Polygons Raise Fundamental Questions of Neural Network
  Perception
Degraded Polygons Raise Fundamental Questions of Neural Network PerceptionNeural Information Processing Systems (NeurIPS), 2023
Leonard Tang
Dan Ley
AAML
113
0
0
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Understanding Masked Autoencoders via Hierarchical Latent Variable
  Models
Understanding Masked Autoencoders via Hierarchical Latent Variable ModelsComputer Vision and Pattern Recognition (CVPR), 2023
Lingjing Kong
Martin Q. Ma
Guan-Hong Chen
Eric Xing
Yuejie Chi
Louis-Philippe Morency
Kun Zhang
236
43
0
08 Jun 2023
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