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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
White Paper Assistance: A Step Forward Beyond the Shortcut Learning
White Paper Assistance: A Step Forward Beyond the Shortcut Learning
Xuan Cheng
Tianshu Xie
Xiaomin Wang
Jiali Deng
Minghui Liu
Meilin Liu
AAML
209
0
0
08 Jun 2021
Counterfactual Maximum Likelihood Estimation for Training Deep Networks
Counterfactual Maximum Likelihood Estimation for Training Deep NetworksNeural Information Processing Systems (NeurIPS), 2021
Xinyi Wang
Wenhu Chen
Michael Stephen Saxon
Wenjie Wang
OODCMLBDL
288
8
0
07 Jun 2021
3DB: A Framework for Debugging Computer Vision Models
3DB: A Framework for Debugging Computer Vision ModelsNeural Information Processing Systems (NeurIPS), 2021
Guillaume Leclerc
Hadi Salman
Andrew Ilyas
Sai H. Vemprala
Logan Engstrom
...
Pengchuan Zhang
Shibani Santurkar
Greg Yang
Ashish Kapoor
Aleksander Madry
257
44
0
07 Jun 2021
Can Subnetwork Structure be the Key to Out-of-Distribution
  Generalization?
Can Subnetwork Structure be the Key to Out-of-Distribution Generalization?International Conference on Machine Learning (ICML), 2021
Dinghuai Zhang
Kartik Ahuja
Yilun Xu
Yisen Wang
Aaron Courville
OOD
269
104
0
05 Jun 2021
A Procedural World Generation Framework for Systematic Evaluation of
  Continual Learning
A Procedural World Generation Framework for Systematic Evaluation of Continual Learning
Timm Hess
Martin Mundt
Iuliia Pliushch
Visvanathan Ramesh
172
7
0
04 Jun 2021
Learning to Draw: Emergent Communication through Sketching
Learning to Draw: Emergent Communication through SketchingNeural Information Processing Systems (NeurIPS), 2021
Daniela Mihai
Jonathon S. Hare
206
28
0
03 Jun 2021
Towards Robust Classification Model by Counterfactual and Invariant Data
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Towards Robust Classification Model by Counterfactual and Invariant Data GenerationComputer Vision and Pattern Recognition (CVPR), 2021
C. Chang
George Adam
Anna Goldenberg
OODCML
255
40
0
02 Jun 2021
Exposing Previously Undetectable Faults in Deep Neural Networks
Exposing Previously Undetectable Faults in Deep Neural NetworksInternational Symposium on Software Testing and Analysis (ISSTA), 2021
Isaac Dunn
Hadrien Pouget
Daniel Kroening
T. Melham
AAML
257
32
0
01 Jun 2021
Closer Look at the Uncertainty Estimation in Semantic Segmentation under
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Closer Look at the Uncertainty Estimation in Semantic Segmentation under Distributional ShiftIEEE International Joint Conference on Neural Network (IJCNN), 2021
Sebastian Cygert
Bartlomiej Wróblewski
Karol Wozniak
Radoslaw Slowiñski
A. Czyżewski
UQCVOOD
250
10
0
31 May 2021
DeepGaze IIE: Calibrated prediction in and out-of-domain for
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DeepGaze IIE: Calibrated prediction in and out-of-domain for state-of-the-art saliency modelingIEEE International Conference on Computer Vision (ICCV), 2021
Akis Linardos
Matthias Kümmerer
Ori Press
Matthias Bethge
MDE
242
85
0
26 May 2021
Using the Overlapping Score to Improve Corruption Benchmarks
Using the Overlapping Score to Improve Corruption BenchmarksInternational Conference on Information Photonics (ICIP), 2021
Alfred Laugros
A. Caplier
Matthieu Ospici
139
2
0
26 May 2021
A Fourier-based Framework for Domain Generalization
A Fourier-based Framework for Domain GeneralizationComputer Vision and Pattern Recognition (CVPR), 2021
Qinwei Xu
Ruipeng Zhang
Ya Zhang
Yanfeng Wang
Qi Tian
OOD
260
568
0
24 May 2021
Intriguing Properties of Vision Transformers
Intriguing Properties of Vision TransformersNeural Information Processing Systems (NeurIPS), 2021
Muzammal Naseer
Kanchana Ranasinghe
Salman Khan
Munawar Hayat
Fahad Shahbaz Khan
Ming-Hsuan Yang
ViT
688
755
0
21 May 2021
Document Domain Randomization for Deep Learning Document Layout
  Extraction
Document Domain Randomization for Deep Learning Document Layout ExtractionIEEE International Conference on Document Analysis and Recognition (ICDAR), 2021
Meng-Ying Ling
Jian Chen
Torsten Moller
Petra Isenberg
Tobias Isenberg
Michael Sedlmair
R. Laramee
Han-Wei Shen
Jian Wu
C. Lee Giles
144
5
0
20 May 2021
When Deep Classifiers Agree: Analyzing Correlations between Learning
  Order and Image Statistics
When Deep Classifiers Agree: Analyzing Correlations between Learning Order and Image StatisticsEuropean Conference on Computer Vision (ECCV), 2021
Iuliia Pliushch
Martin Mundt
Nicolas Lupp
Visvanathan Ramesh
196
13
0
19 May 2021
Vision Transformers are Robust Learners
Vision Transformers are Robust LearnersAAAI Conference on Artificial Intelligence (AAAI), 2021
Sayak Paul
Pin-Yu Chen
ViT
383
356
0
17 May 2021
Real-time Detection of Practical Universal Adversarial Perturbations
Real-time Detection of Practical Universal Adversarial Perturbations
Kenneth T. Co
Luis Muñoz-González
Leslie Kanthan
Emil C. Lupu
AAML
253
8
0
16 May 2021
Are Convolutional Neural Networks or Transformers more like human
  vision?
Are Convolutional Neural Networks or Transformers more like human vision?Annual Meeting of the Cognitive Science Society (CogSci), 2021
Shikhar Tuli
Ishita Dasgupta
Erin Grant
Thomas Griffiths
ViTFaML
271
220
0
15 May 2021
Verification of Size Invariance in DNN Activations using Concept
  Embeddings
Verification of Size Invariance in DNN Activations using Concept EmbeddingsArtificial Intelligence Applications and Innovations (AIAI), 2021
Gesina Schwalbe
3DPC
106
10
0
14 May 2021
RC2020 Report: Learning De-biased Representations with Biased
  Representations
RC2020 Report: Learning De-biased Representations with Biased Representations
Rwiddhi Chakraborty
Shubhayu Das
66
0
0
14 May 2021
SizeNet: Object Recognition via Object Real Size-based Convolutional
  Networks
SizeNet: Object Recognition via Object Real Size-based Convolutional Networks
Xiaofei Li
Zhong Dong
3DPC
120
0
0
13 May 2021
When Human Pose Estimation Meets Robustness: Adversarial Algorithms and
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When Human Pose Estimation Meets Robustness: Adversarial Algorithms and BenchmarksComputer Vision and Pattern Recognition (CVPR), 2021
Jiahang Wang
Sheng Jin
Wentao Liu
Weizhong Liu
Chao Qian
Ping Luo
AAML
199
66
0
13 May 2021
When Does Contrastive Visual Representation Learning Work?
When Does Contrastive Visual Representation Learning Work?Computer Vision and Pattern Recognition (CVPR), 2021
Elijah Cole
Xuan S. Yang
Kimberly Wilber
Oisin Mac Aodha
Serge Belongie
SSL
400
137
0
12 May 2021
Evading the Simplicity Bias: Training a Diverse Set of Models Discovers
  Solutions with Superior OOD Generalization
Evading the Simplicity Bias: Training a Diverse Set of Models Discovers Solutions with Superior OOD GeneralizationComputer Vision and Pattern Recognition (CVPR), 2021
Damien Teney
Ehsan Abbasnejad
Simon Lucey
Anton Van Den Hengel
468
102
0
12 May 2021
TextAdaIN: Paying Attention to Shortcut Learning in Text Recognizers
TextAdaIN: Paying Attention to Shortcut Learning in Text RecognizersEuropean Conference on Computer Vision (ECCV), 2021
Oren Nuriel
Sharon Fogel
Ron Litman
213
10
0
09 May 2021
Learning by Design: Structuring and Documenting the Human Choices in
  Machine Learning Development
Learning by Design: Structuring and Documenting the Human Choices in Machine Learning Development
Simon Enni
Ira Assent
56
3
0
03 May 2021
Black-box Gradient Attack on Graph Neural Networks: Deeper Insights in
  Graph-based Attack and Defense
Black-box Gradient Attack on Graph Neural Networks: Deeper Insights in Graph-based Attack and Defense
Haoxi Zhan
Xiaobing Pei
AAML
154
10
0
30 Apr 2021
Cross-Domain Few-Shot Classification via Adversarial Task Augmentation
Cross-Domain Few-Shot Classification via Adversarial Task AugmentationInternational Joint Conference on Artificial Intelligence (IJCAI), 2021
Haoqing Wang
Zhihong Deng
351
145
0
29 Apr 2021
A neural anisotropic view of underspecification in deep learning
A neural anisotropic view of underspecification in deep learning
Guillermo Ortiz-Jiménez
I. Salazar-Reque
Apostolos Modas
Seyed-Mohsen Moosavi-Dezfooli
P. Frossard
247
7
0
29 Apr 2021
Do Feature Attribution Methods Correctly Attribute Features?
Do Feature Attribution Methods Correctly Attribute Features?AAAI Conference on Artificial Intelligence (AAAI), 2021
Yilun Zhou
Serena Booth
Marco Tulio Ribeiro
J. Shah
FAttXAI
422
156
0
27 Apr 2021
If your data distribution shifts, use self-learning
If your data distribution shifts, use self-learning
E. Rusak
Steffen Schneider
George Pachitariu
L. Eck
Peter V. Gehler
Oliver Bringmann
Wieland Brendel
Matthias Bethge
VLMOODTTA
430
36
0
27 Apr 2021
Impact of Spatial Frequency Based Constraints on Adversarial Robustness
Impact of Spatial Frequency Based Constraints on Adversarial RobustnessIEEE International Joint Conference on Neural Network (IJCNN), 2021
Rémi Bernhard
Pierre-Alain Moëllic
Martial Mermillod
Yannick Bourrier
Romain Cohendet
M. Solinas
M. Reyboz
AAML
234
18
0
26 Apr 2021
Random Noise Defense Against Query-Based Black-Box Attacks
Random Noise Defense Against Query-Based Black-Box AttacksNeural Information Processing Systems (NeurIPS), 2021
Zeyu Qin
Yanbo Fan
H. Zha
Baoyuan Wu
AAML
269
69
0
23 Apr 2021
Time series analysis with dynamic law exploration
Time series analysis with dynamic law exploration
Antal Jakovác
AI4TS
130
9
0
22 Apr 2021
Does enhanced shape bias improve neural network robustness to common
  corruptions?
Does enhanced shape bias improve neural network robustness to common corruptions?International Conference on Learning Representations (ICLR), 2021
Chaithanya Kumar Mummadi
Ranjitha Subramaniam
Robin Hutmacher
Julien Vitay
Volker Fischer
J. H. Metzen
230
43
0
20 Apr 2021
The Intrinsic Dimension of Images and Its Impact on Learning
The Intrinsic Dimension of Images and Its Impact on LearningInternational Conference on Learning Representations (ICLR), 2021
Phillip E. Pope
Chen Zhu
Ahmed Abdelkader
Micah Goldblum
Tom Goldstein
459
352
0
18 Apr 2021
Robust Object Detection via Instance-Level Temporal Cycle Confusion
Robust Object Detection via Instance-Level Temporal Cycle ConfusionIEEE International Conference on Computer Vision (ICCV), 2021
Xin Wang
Thomas E. Huang
Benlin Liu
Feng Yu
Xiaolong Wang
Joseph E. Gonzalez
Trevor Darrell
ObjD
278
36
0
16 Apr 2021
Does language help generalization in vision models?
Does language help generalization in vision models?Conference on Computational Natural Language Learning (CoNLL), 2021
Benjamin Devillers
Bhavin Choksi
Romain Bielawski
R. V. Rullen
VLM
195
28
0
16 Apr 2021
Towards Human-Understandable Visual Explanations:Imperceptible
  High-frequency Cues Can Better Be Removed
Towards Human-Understandable Visual Explanations:Imperceptible High-frequency Cues Can Better Be Removed
Kaili Wang
José Oramas
Tinne Tuytelaars
AAML
138
2
0
16 Apr 2021
GR-RNN: Global-Context Residual Recurrent Neural Networks for Writer
  Identification
GR-RNN: Global-Context Residual Recurrent Neural Networks for Writer IdentificationPattern Recognition (Pattern Recogn.), 2021
Sheng He
Lambert Schomaker
256
61
0
11 Apr 2021
Brain Surface Reconstruction from MRI Images Based on Segmentation
  Networks Applying Signed Distance Maps
Brain Surface Reconstruction from MRI Images Based on Segmentation Networks Applying Signed Distance MapsIEEE International Symposium on Biomedical Imaging (ISBI), 2021
Heng Fang
Xi Yang
Taichi Kin
Takeo Igarashi
3DV
127
1
0
09 Apr 2021
MLF-SC: Incorporating multi-layer features to sparse coding for anomaly
  detection
MLF-SC: Incorporating multi-layer features to sparse coding for anomaly detection
Ryuji Imamura
Kohei Azuma
Atsushi Hanamoto
Atsunori Kanemura
74
5
0
09 Apr 2021
Beyond Question-Based Biases: Assessing Multimodal Shortcut Learning in
  Visual Question Answering
Beyond Question-Based Biases: Assessing Multimodal Shortcut Learning in Visual Question AnsweringIEEE International Conference on Computer Vision (ICCV), 2021
Corentin Dancette
Rémi Cadène
Damien Teney
Matthieu Cord
CML
332
92
0
07 Apr 2021
Unsupervised Visual Attention and Invariance for Reinforcement Learning
Unsupervised Visual Attention and Invariance for Reinforcement LearningComputer Vision and Pattern Recognition (CVPR), 2021
Xudong Wang
Long Lian
Stella X. Yu
OOD
181
51
0
07 Apr 2021
Contrastive Syn-to-Real Generalization
Contrastive Syn-to-Real GeneralizationInternational Conference on Learning Representations (ICLR), 2021
Wuyang Chen
Zhiding Yu
Shalini De Mello
Sifei Liu
J. Álvarez
Zinan Lin
Anima Anandkumar
213
49
0
06 Apr 2021
When Pigs Fly: Contextual Reasoning in Synthetic and Natural Scenes
When Pigs Fly: Contextual Reasoning in Synthetic and Natural ScenesIEEE International Conference on Computer Vision (ICCV), 2021
Philipp Bomatter
Mengmi Zhang
D. Karev
Spandan Madan
Claire Tseng
Gabriel Kreiman
138
27
0
06 Apr 2021
Tuned Compositional Feature Replays for Efficient Stream Learning
Tuned Compositional Feature Replays for Efficient Stream LearningIEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2021
Morgan B. Talbot
Rushikesh Zawar
Rohil Badkundri
Mengmi Zhang
Gabriel Kreiman
CLL
496
2
0
06 Apr 2021
Revisiting Rashomon: A Comment on "The Two Cultures"
Revisiting Rashomon: A Comment on "The Two Cultures"Observational Studies (OS), 2021
Alexander DÁmour
87
7
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Explainability-aided Domain Generalization for Image Classification
Explainability-aided Domain Generalization for Image Classification
Robin M. Schmidt
FAttOOD
202
2
0
05 Apr 2021
Defending Against Image Corruptions Through Adversarial Augmentations
Defending Against Image Corruptions Through Adversarial AugmentationsInternational Conference on Learning Representations (ICLR), 2021
D. A. Calian
Florian Stimberg
Olivia Wiles
Sylvestre-Alvise Rebuffi
András Gyorgy
Timothy A. Mann
Sven Gowal
AAML
345
46
0
02 Apr 2021
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