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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
Learning Interpretable Microscopic Features of Tumor by Multi-task
  Adversarial CNNs To Improve Generalization
Learning Interpretable Microscopic Features of Tumor by Multi-task Adversarial CNNs To Improve Generalization
Mara Graziani
Sebastian Otalora
Stephane Marchand-Maillet
Henning Muller
Vincent Andrearczyk
AAMLMedIm
198
0
0
04 Aug 2020
Describing Textures using Natural Language
Describing Textures using Natural Language
Chenyun Wu
Mikayla Timm
Subhransu Maji
3DV
163
14
0
03 Aug 2020
LSOTB-TIR:A Large-Scale High-Diversity Thermal Infrared Object Tracking
  Benchmark
LSOTB-TIR:A Large-Scale High-Diversity Thermal Infrared Object Tracking Benchmark
Qiao Liu
Xin Li
Zhenyu He
Chenglong Li
Jun Li
...
Di Yuan
Jing Li
Kai-Bo Yang
Nana Fan
Feng Zheng
220
104
0
03 Aug 2020
Robust Template Matching via Hierarchical Convolutional Features from a
  Shape Biased CNN
Robust Template Matching via Hierarchical Convolutional Features from a Shape Biased CNN
Bo Gao
Michael W. Spratling
OOD
148
20
0
31 Jul 2020
Robust and Generalizable Visual Representation Learning via Random
  Convolutions
Robust and Generalizable Visual Representation Learning via Random ConvolutionsInternational Conference on Learning Representations (ICLR), 2020
Zhenlin Xu
Deyi Liu
Junlin Yang
Colin Raffel
Marc Niethammer
OODAAML
383
246
0
25 Jul 2020
End-to-End Trainable Deep Active Contour Models for Automated Image
  Segmentation: Delineating Buildings in Aerial Imagery
End-to-End Trainable Deep Active Contour Models for Automated Image Segmentation: Delineating Buildings in Aerial Imagery
Ali Hatamizadeh
Debleena Sengupta
Demetri Terzopoulos
318
54
0
22 Jul 2020
On Robustness and Transferability of Convolutional Neural Networks
On Robustness and Transferability of Convolutional Neural NetworksComputer Vision and Pattern Recognition (CVPR), 2020
Josip Djolonga
Jessica Yung
Michael Tschannen
Rob Romijnders
Lucas Beyer
...
D. Moldovan
Sylvain Gelly
N. Houlsby
Xiaohua Zhai
Mario Lucic
OOD
273
167
0
16 Jul 2020
Do Adversarially Robust ImageNet Models Transfer Better?
Do Adversarially Robust ImageNet Models Transfer Better?Neural Information Processing Systems (NeurIPS), 2020
Hadi Salman
Andrew Ilyas
Logan Engstrom
Ashish Kapoor
Aleksander Madry
349
468
0
16 Jul 2020
Learning perturbation sets for robust machine learning
Learning perturbation sets for robust machine learningInternational Conference on Learning Representations (ICLR), 2020
Eric Wong
J. Zico Kolter
OOD
248
85
0
16 Jul 2020
Retinal Image Segmentation with a Structure-Texture Demixing Network
Retinal Image Segmentation with a Structure-Texture Demixing NetworkInternational Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2020
Shihao Zhang
Huazhu Fu
Yanwu Xu
Yanxia Liu
Zhuliang Yu
94
11
0
15 Jul 2020
Seeing eye-to-eye? A comparison of object recognition performance in
  humans and deep convolutional neural networks under image manipulation
Seeing eye-to-eye? A comparison of object recognition performance in humans and deep convolutional neural networks under image manipulation
Leonard E. van Dyck
W. Gruber
219
4
0
13 Jul 2020
StyPath: Style-Transfer Data Augmentation For Robust Histology Image
  Classification
StyPath: Style-Transfer Data Augmentation For Robust Histology Image ClassificationInternational Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2020
P. Cicalese
Aryan Mobiny
Pengyu Yuan
Jan Becker
Chandra Mohan
H. Nguyen
MedImOOD
88
19
0
09 Jul 2020
Untapped Potential of Data Augmentation: A Domain Generalization
  Viewpoint
Untapped Potential of Data Augmentation: A Domain Generalization Viewpoint
Vihari Piratla
Shiv Shankar
ViT
170
0
0
09 Jul 2020
PointMask: Towards Interpretable and Bias-Resilient Point Cloud
  Processing
PointMask: Towards Interpretable and Bias-Resilient Point Cloud Processing
Saeid Asgari Taghanaki
Kaveh Hassani
P. Jayaraman
Amir Hosein Khas Ahmadi
Tonya Custis
3DPC
164
10
0
09 Jul 2020
Adaptive Risk Minimization: Learning to Adapt to Domain Shift
Adaptive Risk Minimization: Learning to Adapt to Domain Shift
Marvin Zhang
Henrik Marklund
Nikita Dhawan
Abhishek Gupta
Sergey Levine
Chelsea Finn
OOD
344
244
0
06 Jul 2020
Learning from Failure: Training Debiased Classifier from Biased
  Classifier
Learning from Failure: Training Debiased Classifier from Biased Classifier
J. Nam
Hyuntak Cha
SungSoo Ahn
Jaeho Lee
Jinwoo Shin
270
168
0
06 Jul 2020
DessiLBI: Exploring Structural Sparsity of Deep Networks via
  Differential Inclusion Paths
DessiLBI: Exploring Structural Sparsity of Deep Networks via Differential Inclusion Paths
Yanwei Fu
Chen Liu
Donghao Li
Xinwei Sun
Jinshan Zeng
Xingtai Lv
144
9
0
04 Jul 2020
In Search of Lost Domain Generalization
In Search of Lost Domain Generalization
Ishaan Gulrajani
David Lopez-Paz
OOD
454
1,344
0
02 Jul 2020
Measuring Robustness to Natural Distribution Shifts in Image
  Classification
Measuring Robustness to Natural Distribution Shifts in Image Classification
Rohan Taori
Achal Dave
Vaishaal Shankar
Nicholas Carlini
Benjamin Recht
Ludwig Schmidt
OOD
589
639
0
01 Jul 2020
Robustness to Transformations Across Categories: Is Robustness To
  Transformations Driven by Invariant Neural Representations?
Robustness to Transformations Across Categories: Is Robustness To Transformations Driven by Invariant Neural Representations?
Hojin Jang
Syed Suleman Abbas Zaidi
Xavier Boix
Neeraj Prasad
Sharon Gilad-Gutnick
S. Ben-Ami
P. Sinha
OOD
197
5
0
30 Jun 2020
Data-driven Regularization via Racecar Training for Generalizing Neural
  Networks
Data-driven Regularization via Racecar Training for Generalizing Neural Networks
You Xie
Nils Thuerey
130
0
0
30 Jun 2020
Improving robustness against common corruptions by covariate shift
  adaptation
Improving robustness against common corruptions by covariate shift adaptation
Steffen Schneider
E. Rusak
L. Eck
Oliver Bringmann
Wieland Brendel
Matthias Bethge
VLM
397
583
0
30 Jun 2020
Beyond accuracy: quantifying trial-by-trial behaviour of CNNs and humans
  by measuring error consistency
Beyond accuracy: quantifying trial-by-trial behaviour of CNNs and humans by measuring error consistency
Robert Geirhos
Kristof Meding
Felix Wichmann
256
136
0
30 Jun 2020
Conditional GAN for timeseries generation
Conditional GAN for timeseries generation
Kaleb E. Smith
Anthony O. Smith
AI4TS
146
101
0
30 Jun 2020
The Many Faces of Robustness: A Critical Analysis of Out-of-Distribution
  Generalization
The Many Faces of Robustness: A Critical Analysis of Out-of-Distribution Generalization
Dan Hendrycks
Steven Basart
Norman Mu
Saurav Kadavath
Frank Wang
...
Samyak Parajuli
Mike Guo
Basel Alomair
Jacob Steinhardt
Justin Gilmer
OOD
1.0K
2,119
0
29 Jun 2020
High Resolution Zero-Shot Domain Adaptation of Synthetically Rendered
  Face Images
High Resolution Zero-Shot Domain Adaptation of Synthetically Rendered Face Images
Stephan J. Garbin
Marek Kowalski
Matthew W. Johnson
Jamie Shotton
3DH
332
9
0
26 Jun 2020
Teaching CNNs to mimic Human Visual Cognitive Process & regularise
  Texture-Shape bias
Teaching CNNs to mimic Human Visual Cognitive Process & regularise Texture-Shape bias
Satyam Mohla
Anshul Nasery
Biplab Banerjee
186
3
0
25 Jun 2020
Realistic Adversarial Data Augmentation for MR Image Segmentation
Realistic Adversarial Data Augmentation for MR Image SegmentationInternational Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2020
Chen Chen
C. Qin
Huaqi Qiu
Cheng Ouyang
Shuo Wang
Liang Chen
G. Tarroni
Wenjia Bai
Daniel Rueckert
GANMedIm
165
104
0
23 Jun 2020
Deep Learning of Unified Region, Edge, and Contour Models for Automated
  Image Segmentation
Deep Learning of Unified Region, Edge, and Contour Models for Automated Image Segmentation
Ali Hatamizadeh
SSeg
174
3
0
23 Jun 2020
What shapes feature representations? Exploring datasets, architectures,
  and training
What shapes feature representations? Exploring datasets, architectures, and training
Katherine L. Hermann
Andrew Kyle Lampinen
OOD
282
175
0
22 Jun 2020
Learning compact generalizable neural representations supporting
  perceptual grouping
Learning compact generalizable neural representations supporting perceptual grouping
Vijay Veerabadran
V. D. Sa
183
2
0
21 Jun 2020
A numerical framework for elastic surface matching, comparison, and
  interpolation
A numerical framework for elastic surface matching, comparison, and interpolation
Martin Bauer
N. Charon
Philipp Harms
Hsi-Wei Hsieh
161
21
0
20 Jun 2020
Local Convolutions Cause an Implicit Bias towards High Frequency
  Adversarial Examples
Local Convolutions Cause an Implicit Bias towards High Frequency Adversarial Examples
J. O. Caro
Yilong Ju
Ryan Pyle
Sourav Dey
Wieland Brendel
Fabio Anselmi
Ankit B. Patel
AAML
358
14
0
19 Jun 2020
Frustratingly Simple Domain Generalization via Image Stylization
Frustratingly Simple Domain Generalization via Image Stylization
Nathan Somavarapu
Chih-Yao Ma
Z. Kira
OOD
221
72
0
19 Jun 2020
Towards an Adversarially Robust Normalization Approach
Towards an Adversarially Robust Normalization Approach
Muhammad Awais
Fahad Shamshad
Sung-Ho Bae
AAMLOOD
230
21
0
19 Jun 2020
Tent: Fully Test-time Adaptation by Entropy Minimization
Tent: Fully Test-time Adaptation by Entropy Minimization
Yi Xu
Evan Shelhamer
Shaoteng Liu
Bruno A. Olshausen
Trevor Darrell
OOD
774
58
0
18 Jun 2020
Overcoming Statistical Shortcuts for Open-ended Visual Counting
Overcoming Statistical Shortcuts for Open-ended Visual Counting
Corentin Dancette
Rémi Cadène
Xinlei Chen
Matthieu Cord
211
3
0
17 Jun 2020
Noise or Signal: The Role of Image Backgrounds in Object Recognition
Noise or Signal: The Role of Image Backgrounds in Object Recognition
Kai Y. Xiao
Logan Engstrom
Andrew Ilyas
Aleksander Madry
499
434
0
17 Jun 2020
The shape and simplicity biases of adversarially robust ImageNet-trained
  CNNs
The shape and simplicity biases of adversarially robust ImageNet-trained CNNs
Peijie Chen
Chirag Agarwal
Anh Totti Nguyen
AAML
400
19
0
16 Jun 2020
AdamP: Slowing Down the Slowdown for Momentum Optimizers on
  Scale-invariant Weights
AdamP: Slowing Down the Slowdown for Momentum Optimizers on Scale-invariant Weights
Byeongho Heo
Sanghyuk Chun
Seong Joon Oh
Dongyoon Han
Sangdoo Yun
Gyuwan Kim
Youngjung Uh
Jung-Woo Ha
ODL
784
27
0
15 Jun 2020
Emergent Properties of Foveated Perceptual Systems
Emergent Properties of Foveated Perceptual Systems
Arturo Deza
Talia Konkle
332
51
0
14 Jun 2020
FenceMask: A Data Augmentation Approach for Pre-extracted Image Features
FenceMask: A Data Augmentation Approach for Pre-extracted Image Features
Pu Li
Xiangyang Li
Xiang Long
153
22
0
14 Jun 2020
On Saliency Maps and Adversarial Robustness
On Saliency Maps and Adversarial Robustness
Puneet Mangla
Vedant Singh
V. Balasubramanian
AAML
217
18
0
14 Jun 2020
The Pitfalls of Simplicity Bias in Neural Networks
The Pitfalls of Simplicity Bias in Neural NetworksNeural Information Processing Systems (NeurIPS), 2020
Harshay Shah
Kaustav Tamuly
Aditi Raghunathan
Prateek Jain
Praneeth Netrapalli
AAML
365
421
0
13 Jun 2020
Learning Diverse Representations for Fast Adaptation to Distribution
  Shift
Learning Diverse Representations for Fast Adaptation to Distribution Shift
Daniel Pace
A. Russo
Murray Shanahan
OOD
150
2
0
12 Jun 2020
A Self-supervised Approach for Adversarial Robustness
A Self-supervised Approach for Adversarial Robustness
Muzammal Naseer
Salman Khan
Munawar Hayat
Fahad Shahbaz Khan
Fatih Porikli
AAML
239
337
0
08 Jun 2020
SaliencyMix: A Saliency Guided Data Augmentation Strategy for Better
  Regularization
SaliencyMix: A Saliency Guided Data Augmentation Strategy for Better RegularizationInternational Conference on Learning Representations (ICLR), 2020
A. Uddin
Sirazam Monira
Wheemyung Shin
TaeChoong Chung
Sung-Ho Bae
465
264
0
02 Jun 2020
Network-to-Network Translation with Conditional Invertible Neural
  Networks
Network-to-Network Translation with Conditional Invertible Neural Networks
Robin Rombach
Patrick Esser
Bjorn Ommer
133
3
0
27 May 2020
A Lightweight CNN and Joint Shape-Joint Space (JS2) Descriptor for
  Radiological Osteoarthritis Detection
A Lightweight CNN and Joint Shape-Joint Space (JS2) Descriptor for Radiological Osteoarthritis Detection
N. Bayramoglu
M. Nieminen
S. Saarakkala
MedIm
115
10
0
24 May 2020
From ImageNet to Image Classification: Contextualizing Progress on
  Benchmarks
From ImageNet to Image Classification: Contextualizing Progress on Benchmarks
Dimitris Tsipras
Shibani Santurkar
Logan Engstrom
Andrew Ilyas
Aleksander Madry
236
143
0
22 May 2020
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