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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
DiagViB-6: A Diagnostic Benchmark Suite for Vision Models in the
  Presence of Shortcut and Generalization Opportunities
DiagViB-6: A Diagnostic Benchmark Suite for Vision Models in the Presence of Shortcut and Generalization OpportunitiesIEEE International Conference on Computer Vision (ICCV), 2021
Elias Eulig
Piyapat Saranrittichai
Chaithanya Kumar Mummadi
K. Rambach
William H. Beluch
Xiahan Shi
Volker Fischer
334
11
0
12 Aug 2021
Learning Bias-Invariant Representation by Cross-Sample Mutual
  Information Minimization
Learning Bias-Invariant Representation by Cross-Sample Mutual Information MinimizationIEEE International Conference on Computer Vision (ICCV), 2021
Wei-wei Zhu
Haitian Zheng
Haofu Liao
Weijian Li
Jiebo Luo
353
48
0
11 Aug 2021
Simple black-box universal adversarial attacks on medical image
  classification based on deep neural networks
Simple black-box universal adversarial attacks on medical image classification based on deep neural networks
K. Koga
Kazuhiro Takemoto
AAML
209
13
0
11 Aug 2021
On the Effect of Pruning on Adversarial Robustness
On the Effect of Pruning on Adversarial Robustness
Artur Jordão
Hélio Pedrini
AAML
251
29
0
10 Aug 2021
Transfer Learning Gaussian Anomaly Detection by Fine-tuning
  Representations
Transfer Learning Gaussian Anomaly Detection by Fine-tuning RepresentationsInternational Conference on Image Processing and Vision Engineering (ICIPVE), 2021
Oliver Rippel
Arnav Chavan
Chucai Lei
Dorit Merhof
295
21
0
09 Aug 2021
Unsupervised Learning of Debiased Representations with Pseudo-Attributes
Unsupervised Learning of Debiased Representations with Pseudo-AttributesComputer Vision and Pattern Recognition (CVPR), 2021
Seonguk Seo
Joon-Young Lee
Bohyung Han
FaML
263
59
0
06 Aug 2021
Poison Ink: Robust and Invisible Backdoor Attack
Poison Ink: Robust and Invisible Backdoor AttackIEEE Transactions on Image Processing (TIP), 2021
Jie Zhang
Dongdong Chen
Qidong Huang
Jing Liao
Weiming Zhang
Huamin Feng
G. Hua
Nenghai Yu
AAML
313
109
0
05 Aug 2021
Global and Local Texture Randomization for Synthetic-to-Real Semantic
  Segmentation
Global and Local Texture Randomization for Synthetic-to-Real Semantic SegmentationIEEE Transactions on Image Processing (TIP), 2021
Duo Peng
Yinjie Lei
Lingqiao Liu
Silong Yong
Jun Liu
181
107
0
05 Aug 2021
Robust Semantic Segmentation with Superpixel-Mix
Robust Semantic Segmentation with Superpixel-Mix
Gianni Franchi
Nacim Belkhir
Mai Lan Ha
Yufei Hu
Andrei Bursuc
V. Blanz
Angela Yao
UQCV
236
24
0
02 Aug 2021
Advances in adversarial attacks and defenses in computer vision: A
  survey
Advances in adversarial attacks and defenses in computer vision: A survey
Naveed Akhtar
Lin Wang
Navid Kardan
M. Shah
AAML
489
298
0
01 Aug 2021
Comparing object recognition in humans and deep convolutional neural
  networks -- An eye tracking study
Comparing object recognition in humans and deep convolutional neural networks -- An eye tracking studyFrontiers in Neuroscience (Front. Neurosci.), 2021
Leonard E. van Dyck
Roland Kwitt
Sebastian J. Denzler
W. Gruber
165
64
0
30 Jul 2021
Object-aware Contrastive Learning for Debiased Scene Representation
Object-aware Contrastive Learning for Debiased Scene RepresentationNeural Information Processing Systems (NeurIPS), 2021
Sangwoo Mo
H. Kang
Kihyuk Sohn
Chun-Liang Li
Jinwoo Shin
SSLOCL
336
54
0
30 Jul 2021
Towards robust vision by multi-task learning on monkey visual cortex
Towards robust vision by multi-task learning on monkey visual cortexNeural Information Processing Systems (NeurIPS), 2021
Shahd Safarani
Arne F. Nix
K. Willeke
Santiago A. Cadena
Kelli Restivo
George H. Denfield
A. Tolias
Fabian H. Sinz
OOD
282
58
0
29 Jul 2021
SimROD: A Simple Adaptation Method for Robust Object Detection
SimROD: A Simple Adaptation Method for Robust Object DetectionIEEE International Conference on Computer Vision (ICCV), 2021
Rindranirina Ramamonjison
Amin Banitalebi-Dehkordi
Xinyu Kang
Xiaolong Bai
Yong Zhang
ObjDTTA
150
64
0
28 Jul 2021
WaveCNet: Wavelet Integrated CNNs to Suppress Aliasing Effect for
  Noise-Robust Image Classification
WaveCNet: Wavelet Integrated CNNs to Suppress Aliasing Effect for Noise-Robust Image ClassificationIEEE Transactions on Image Processing (TIP), 2021
Qiufu Li
Linlin Shen
Sheng Guo
Zhihui Lai
OOD
216
115
0
28 Jul 2021
Using Synthetic Corruptions to Measure Robustness to Natural
  Distribution Shifts
Using Synthetic Corruptions to Measure Robustness to Natural Distribution ShiftsBritish Machine Vision Conference (BMVC), 2021
Alfred Laugros
A. Caplier
Matthieu Ospici
154
7
0
26 Jul 2021
VisDA-2021 Competition Universal Domain Adaptation to Improve
  Performance on Out-of-Distribution Data
VisDA-2021 Competition Universal Domain Adaptation to Improve Performance on Out-of-Distribution DataNeural Information Processing Systems (NeurIPS), 2021
D. Bashkirova
Dan Hendrycks
Donghyun Kim
Samarth Mishra
Kate Saenko
Kuniaki Saito
Piotr Teterwak
Ben Usman
OOD
180
26
0
23 Jul 2021
Reading Race: AI Recognises Patient's Racial Identity In Medical Images
Reading Race: AI Recognises Patient's Racial Identity In Medical ImagesThe Lancet Digital Health (LDH), 2021
Imon Banerjee
A. Bhimireddy
J. L. Burns
Leo Anthony Celi
Li-Ching Chen
...
Hari M. Trivedi
Ryan Wang
Z. Zaiman
Haoran Zhang
J. Gichoya
223
422
0
21 Jul 2021
Responsible and Regulatory Conform Machine Learning for Medicine: A
  Survey of Challenges and Solutions
Responsible and Regulatory Conform Machine Learning for Medicine: A Survey of Challenges and SolutionsIEEE Access (IEEE Access), 2021
Eike Petersen
Yannik Potdevin
Esfandiar Mohammadi
Stephan Zidowitz
Sabrina Breyer
...
Sandra Henn
Ludwig Pechmann
M. Leucker
P. Rostalski
Christian Herzog
FaMLAILawOOD
277
35
0
20 Jul 2021
Rectifying the Shortcut Learning of Background for Few-Shot Learning
Rectifying the Shortcut Learning of Background for Few-Shot LearningNeural Information Processing Systems (NeurIPS), 2021
Xu Luo
Longhui Wei
Liangjiang Wen
Jinrong Yang
Lingxi Xie
Zenglin Xu
Qi Tian
380
101
0
16 Jul 2021
Synthesis in Style: Semantic Segmentation of Historical Documents using
  Synthetic Data
Synthesis in Style: Semantic Segmentation of Historical Documents using Synthetic DataInternational Conference on Pattern Recognition (ICPR), 2021
Christian Bartz
H. Rätz
Joseph Bethge
Christoph Meinel
Haojin Yang
217
7
0
14 Jul 2021
Graph Jigsaw Learning for Cartoon Face Recognition
Graph Jigsaw Learning for Cartoon Face Recognition
Yong Li
Lingjie Lao
Zhen Cui
Shiguang Shan
Zhiqiang Wang
CVBM
147
19
0
14 Jul 2021
HAT: Hierarchical Aggregation Transformers for Person Re-identification
HAT: Hierarchical Aggregation Transformers for Person Re-identification
Guowen Zhang
Silong Yong
Jinqing Qi
Huchuan Lu
ViT
322
144
0
13 Jul 2021
Source-Free Adaptation to Measurement Shift via Bottom-Up Feature
  Restoration
Source-Free Adaptation to Measurement Shift via Bottom-Up Feature Restoration
Cian Eastwood
I. Mason
Christopher K. I. Williams
Bernhard Schölkopf
TTA
223
58
0
12 Jul 2021
Identifying Layers Susceptible to Adversarial Attacks
Identifying Layers Susceptible to Adversarial Attacks
Shoaib Ahmed Siddiqui
Thomas Breuel
AAML
230
3
0
10 Jul 2021
Systematic human learning and generalization from a brief tutorial with
  explanatory feedback
Systematic human learning and generalization from a brief tutorial with explanatory feedbackOpen Mind (OM), 2021
A. Nam
James L. McClelland
115
4
0
10 Jul 2021
Foreground-Aware Stylization and Consensus Pseudo-Labeling for Domain
  Adaptation of First-Person Hand Segmentation
Foreground-Aware Stylization and Consensus Pseudo-Labeling for Domain Adaptation of First-Person Hand Segmentation
Takehiko Ohkawa
Takuma Yagi
Atsushi Hashimoto
Yoshitaka Ushiku
Yoichi Sato
466
9
0
06 Jul 2021
A topological solution to object segmentation and tracking
A topological solution to object segmentation and tracking
Thomas R. Tsao
Doris Y. Tsao
VOS
166
20
0
05 Jul 2021
Learning Debiased Representation via Disentangled Feature Augmentation
Learning Debiased Representation via Disentangled Feature Augmentation
Jungsoo Lee
Eungyeup Kim
Juyoung Lee
Jihyeon Janel Lee
Jaegul Choo
CML
333
179
0
03 Jul 2021
Test-Time Adaptation to Distribution Shift by Confidence Maximization
  and Input Transformation
Test-Time Adaptation to Distribution Shift by Confidence Maximization and Input Transformation
Chaithanya Kumar Mummadi
Robin Hutmacher
K. Rambach
Evgeny Levinkov
Thomas Brox
J. H. Metzen
TTAOOD
302
78
0
28 Jun 2021
Inverting and Understanding Object Detectors
Inverting and Understanding Object Detectors
Ang Cao
Justin Johnson
ObjD
246
3
0
26 Jun 2021
SITTA: Single Image Texture Translation for Data Augmentation
SITTA: Single Image Texture Translation for Data Augmentation
Boyi Li
Huayu Chen
Nayeon Lee
Serge Belongie
133
5
0
25 Jun 2021
Exploring Corruption Robustness: Inductive Biases in Vision Transformers
  and MLP-Mixers
Exploring Corruption Robustness: Inductive Biases in Vision Transformers and MLP-Mixers
Katelyn Morrison
B. Gilby
Colton Lipchak
Adam Mattioli
Adriana Kovashka
ViT
180
17
0
24 Jun 2021
Can contrastive learning avoid shortcut solutions?
Can contrastive learning avoid shortcut solutions?Neural Information Processing Systems (NeurIPS), 2021
Joshua Robinson
Li Sun
Ke Yu
Kayhan Batmanghelich
Stefanie Jegelka
S. Sra
SSL
320
163
0
21 Jun 2021
Achieving Domain Robustness in Stereo Matching Networks by Removing
  Shortcut Learning
Achieving Domain Robustness in Stereo Matching Networks by Removing Shortcut Learning
Weiqin Chuah
Ruwan Tennakoon
A. Bab-Hadiashar
David Suter
OOD
218
0
0
15 Jun 2021
Revisiting the Calibration of Modern Neural Networks
Revisiting the Calibration of Modern Neural Networks
Matthias Minderer
Josip Djolonga
Rob Romijnders
F. Hubis
Xiaohua Zhai
N. Houlsby
Dustin Tran
Mario Lucic
UQCV
429
453
0
15 Jun 2021
Encouraging Intra-Class Diversity Through a Reverse Contrastive Loss for
  Better Single-Source Domain Generalization
Encouraging Intra-Class Diversity Through a Reverse Contrastive Loss for Better Single-Source Domain Generalization
Thomas Duboudin
Emmanuel Dellandrea
Corentin Abgrall
Gilles Hénaff
Liming Chen
139
9
0
15 Jun 2021
Delving Deep into the Generalization of Vision Transformers under
  Distribution Shifts
Delving Deep into the Generalization of Vision Transformers under Distribution ShiftsComputer Vision and Pattern Recognition (CVPR), 2021
Chongzhi Zhang
Mingyuan Zhang
Shanghang Zhang
Daisheng Jin
Qiang-feng Zhou
Zhongang Cai
Haiyu Zhao
Xianglong Liu
Ziwei Liu
210
128
0
14 Jun 2021
Partial success in closing the gap between human and machine vision
Partial success in closing the gap between human and machine visionNeural Information Processing Systems (NeurIPS), 2021
Robert Geirhos
Kantharaju Narayanappa
Benjamin Mitzkus
Tizian Thieringer
Matthias Bethge
Felix Wichmann
Wieland Brendel
VLMAAML
329
267
0
14 Jun 2021
Disrupting Model Training with Adversarial Shortcuts
Disrupting Model Training with Adversarial Shortcuts
Ivan Evtimov
Ian Covert
Aditya Kusupati
Tadayoshi Kohno
AAML
208
10
0
12 Jun 2021
Keyframe-Focused Visual Imitation Learning
Keyframe-Focused Visual Imitation LearningInternational Conference on Machine Learning (ICML), 2021
Chuan Wen
Jierui Lin
Jianing Qian
Yang Gao
Dinesh Jayaraman
VGen
213
24
0
11 Jun 2021
CausalAdv: Adversarial Robustness through the Lens of Causality
CausalAdv: Adversarial Robustness through the Lens of Causality
Yonggang Zhang
Biwei Huang
Tongliang Liu
Gang Niu
Xinmei Tian
Bo Han
Bernhard Schölkopf
Kun Zhang
OODAAMLCML
165
42
0
11 Jun 2021
Rethinking Architecture Design for Tackling Data Heterogeneity in
  Federated Learning
Rethinking Architecture Design for Tackling Data Heterogeneity in Federated LearningComputer Vision and Pattern Recognition (CVPR), 2021
Liangqiong Qu
Yuyin Zhou
Paul Pu Liang
Yingda Xia
Feifei Wang
Ehsan Adeli
L. Fei-Fei
D. Rubin
FedMLAI4CE
415
216
0
10 Jun 2021
CLCC: Contrastive Learning for Color Constancy
CLCC: Contrastive Learning for Color ConstancyComputer Vision and Pattern Recognition (CVPR), 2021
Yi-Chen Lo
Chia-Che Chang
Hsuan-Chao Chiu
Yu-Hao Huang
Chia-Ping Chen
Yu-Lin Chang
Kevin Jou
184
67
0
09 Jun 2021
Taxonomy of Machine Learning Safety: A Survey and Primer
Taxonomy of Machine Learning Safety: A Survey and PrimerACM Computing Surveys (CSUR), 2021
Sina Mohseni
Haotao Wang
Zhiding Yu
Chaowei Xiao
Zinan Lin
J. Yadawa
314
47
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AdaMatch: A Unified Approach to Semi-Supervised Learning and Domain
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AdaMatch: A Unified Approach to Semi-Supervised Learning and Domain AdaptationInternational Conference on Learning Representations (ICLR), 2021
David Berthelot
Rebecca Roelofs
Kihyuk Sohn
Nicholas Carlini
Alexey Kurakin
428
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Understanding top-down attention using task-oriented ablation design
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Freddie Bickford-Smith
Brett D. Roads
Xiaoliang Luo
Bradley C. Love
160
1
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Self-Supervised Learning with Data Augmentations Provably Isolates
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Julius von Kügelgen
Yash Sharma
Luigi Gresele
Wieland Brendel
Bernhard Schölkopf
M. Besserve
Francesco Locatello
437
358
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DETReg: Unsupervised Pretraining with Region Priors for Object Detection
DETReg: Unsupervised Pretraining with Region Priors for Object DetectionComputer Vision and Pattern Recognition (CVPR), 2021
Amir Bar
Xin Wang
Vadim Kantorov
Colorado Reed
Roei Herzig
Gal Chechik
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Trevor Darrell
Amir Globerson
ViT
474
134
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Object Based Attention Through Internal Gating
Object Based Attention Through Internal Gating
Jordan Lei
Ari S. Benjamin
Konrad Paul Kording
OCL
109
6
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08 Jun 2021
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