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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
Exposing flaws of generative model evaluation metrics and their unfair
  treatment of diffusion models
Exposing flaws of generative model evaluation metrics and their unfair treatment of diffusion modelsNeural Information Processing Systems (NeurIPS), 2023
G. Stein
Jesse C. Cresswell
Rasa Hosseinzadeh
Yi Sui
Brendan Leigh Ross
Valentin Villecroze
Zhaoyan Liu
M. Volkovs
J. E. T. Taylor
Gabriel Loaiza-Ganem
EGVM
476
161
0
07 Jun 2023
Improving neural network representations using human similarity
  judgments
Improving neural network representations using human similarity judgmentsNeural Information Processing Systems (NeurIPS), 2023
Lukas Muttenthaler
Lorenz Linhardt
Jonas Dippel
Robert A. Vandermeulen
Katherine L. Hermann
Andrew Kyle Lampinen
Simon Kornblith
312
43
0
07 Jun 2023
Performance-optimized deep neural networks are evolving into worse
  models of inferotemporal visual cortex
Performance-optimized deep neural networks are evolving into worse models of inferotemporal visual cortexNeural Information Processing Systems (NeurIPS), 2023
Drew Linsley
I. F. Rodriguez
Thomas Fel
Michael Arcaro
Saloni Sharma
Margaret Livingstone
Thomas Serre
217
29
0
06 Jun 2023
On Pitfalls of Test-Time Adaptation
On Pitfalls of Test-Time AdaptationInternational Conference on Machine Learning (ICML), 2023
Hao Zhao
Yuejiang Liu
Alexandre Alahi
Tao Lin
TTA
207
61
0
06 Jun 2023
Rec4Ad: A Free Lunch to Mitigate Sample Selection Bias for Ads CTR
  Prediction in Taobao
Rec4Ad: A Free Lunch to Mitigate Sample Selection Bias for Ads CTR Prediction in TaobaoInternational Conference on Information and Knowledge Management (CIKM), 2023
Jingyue Gao
Shuguang Han
Ziru Xu
Siran Yang
Yuning Jiang
Jian Xu
Bo Zheng
212
19
0
06 Jun 2023
Curriculum-Based Augmented Fourier Domain Adaptation for Robust Medical
  Image Segmentation
Curriculum-Based Augmented Fourier Domain Adaptation for Robust Medical Image SegmentationIEEE Transactions on Automation Science and Engineering (IEEE TASE), 2023
An-Chi Wang
Mobarakol Islam
Mengya Xu
Hongliang Ren
OOD
224
22
0
06 Jun 2023
Continual Learning with Pretrained Backbones by Tuning in the Input
  Space
Continual Learning with Pretrained Backbones by Tuning in the Input SpaceIEEE International Joint Conference on Neural Network (IJCNN), 2023
Simone Marullo
Matteo Tiezzi
Marco Gori
S. Melacci
Tinne Tuytelaars
CLL
246
2
0
05 Jun 2023
Benchmarking Robustness of Adaptation Methods on Pre-trained
  Vision-Language Models
Benchmarking Robustness of Adaptation Methods on Pre-trained Vision-Language ModelsNeural Information Processing Systems (NeurIPS), 2023
Shuo Chen
Jindong Gu
Zhen Han
Yunpu Ma
Juil Sock
Volker Tresp
VPVLMVLM
358
31
0
03 Jun 2023
Understanding Segment Anything Model: SAM is Biased Towards Texture
  Rather than Shape
Understanding Segment Anything Model: SAM is Biased Towards Texture Rather than Shape
Chaoning Zhang
Yu Qiao
Shehbaz Tariq
Sheng Zheng
Chenshuang Zhang
Chenghao Li
Hyundong Shin
Choong Seon Hong
VLM
126
12
0
03 Jun 2023
Discovering Failure Modes of Text-guided Diffusion Models via
  Adversarial Search
Discovering Failure Modes of Text-guided Diffusion Models via Adversarial SearchInternational Conference on Learning Representations (ICLR), 2023
Qihao Liu
Adam Kortylewski
Yutong Bai
Song Bai
Alan Yuille
DiffM
312
23
0
01 Jun 2023
MEWL: Few-shot multimodal word learning with referential uncertainty
MEWL: Few-shot multimodal word learning with referential uncertaintyInternational Conference on Machine Learning (ICML), 2023
Guangyuan Jiang
Manjie Xu
Shiji Xin
Weihan Liang
Yujia Peng
Fangqiu Yi
Yixin Zhu
OffRL
281
28
0
01 Jun 2023
Recognizing People by Body Shape Using Deep Networks of Images and Words
Recognizing People by Body Shape Using Deep Networks of Images and Words
Blake Myers
Lucas Jaggernauth
Thomas M. Metz
Matthew Q. Hill
Veda Nandan Gandi
Carlos D. Castillo
A. O’toole
CVBM3DH
211
8
0
30 May 2023
InDL: A New Dataset and Benchmark for In-Diagram Logic Interpretation
  based on Visual Illusion
InDL: A New Dataset and Benchmark for In-Diagram Logic Interpretation based on Visual Illusion
Haobo Yang
Wenyu Wang
Zexin Cao
Zhekai Duan
Xuchen Liu
VLM
204
0
0
28 May 2023
Vision Transformers for Small Histological Datasets Learned through
  Knowledge Distillation
Vision Transformers for Small Histological Datasets Learned through Knowledge DistillationPacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD), 2023
Neel Kanwal
T. Eftestøl
Farbod Khoraminia
T. Zuiverloon
K. Engan
MedIm
133
23
0
27 May 2023
Are Deep Neural Networks Adequate Behavioural Models of Human Visual
  Perception?
Are Deep Neural Networks Adequate Behavioural Models of Human Visual Perception?Annual Review of Vision Science (ARVS), 2023
Felix Wichmann
Robert Geirhos
248
39
0
26 May 2023
Investigating how ReLU-networks encode symmetries
Investigating how ReLU-networks encode symmetriesNeural Information Processing Systems (NeurIPS), 2023
Georg Bökman
Fredrik Kahl
232
7
0
26 May 2023
Characterizing Out-of-Distribution Error via Optimal Transport
Characterizing Out-of-Distribution Error via Optimal TransportNeural Information Processing Systems (NeurIPS), 2023
Yuzhe Lu
Yilong Qin
Runtian Zhai
Andrew Shen
Ketong Chen
Zhenlin Wang
Soheil Kolouri
Simon Stepputtis
Joseph Campbell
Katia Sycara
OODD
252
20
0
25 May 2023
Assessment of the Reliablity of a Model's Decision by Generalizing
  Attribution to the Wavelet Domain
Assessment of the Reliablity of a Model's Decision by Generalizing Attribution to the Wavelet Domain
Gabriel Kasmi
L. Dubus
Yves-Marie Saint Drenan
Philippe Blanc
FAtt
566
4
0
24 May 2023
HARD: Hard Augmentations for Robust Distillation
HARD: Hard Augmentations for Robust Distillation
Arne F. Nix
Max F. Burg
Fabian H. Sinz
AAML
244
1
0
24 May 2023
From Patches to Objects: Exploiting Spatial Reasoning for Better Visual
  Representations
From Patches to Objects: Exploiting Spatial Reasoning for Better Visual Representations
Toni Albert
Bjoern M. Eskofier
Dario Zanca
SSL
140
1
0
21 May 2023
How Spurious Features Are Memorized: Precise Analysis for Random and NTK
  Features
How Spurious Features Are Memorized: Precise Analysis for Random and NTK FeaturesInternational Conference on Machine Learning (ICML), 2023
Simone Bombari
Marco Mondelli
AAML
496
9
0
20 May 2023
Content-based Unrestricted Adversarial Attack
Content-based Unrestricted Adversarial AttackNeural Information Processing Systems (NeurIPS), 2023
Zhaoyu Chen
Yue Liu
Shuang Wu
Kaixun Jiang
Shouhong Ding
Wenqiang Zhang
DiffM
349
104
0
18 May 2023
Exploiting Frequency Spectrum of Adversarial Images for General
  Robustness
Exploiting Frequency Spectrum of Adversarial Images for General Robustness
Chun Yang Tan
K. Kawamoto
Hiroshi Kera
AAMLOOD
151
1
0
15 May 2023
DNN-Compressed Domain Visual Recognition with Feature Adaptation
DNN-Compressed Domain Visual Recognition with Feature Adaptation
Yingpeng Deng
Lina Karam
256
2
0
13 May 2023
Towards Generalizable Medical Image Segmentation with Pixel-wise
  Uncertainty Estimation
Towards Generalizable Medical Image Segmentation with Pixel-wise Uncertainty Estimation
Shuai Wang
Zipei Yan
Daoan Zhang
Zhong Li
Sirui Wu
Wen-Xiang Chen
Ruizhen Li
UQCV
179
2
0
13 May 2023
A Survey on Deep Learning-Based Monocular Spacecraft Pose Estimation:
  Current State, Limitations and Prospects
A Survey on Deep Learning-Based Monocular Spacecraft Pose Estimation: Current State, Limitations and ProspectsActa Astronautica (Acta Astronaut.), 2023
Leo Pauly
Wassim Rharbaoui
Carl Shneider
A. Rathinam
Vincent Gaudillière
Djamila Aouada
365
81
0
12 May 2023
Convolutional Neural Networks Rarely Learn Shape for Semantic
  Segmentation
Convolutional Neural Networks Rarely Learn Shape for Semantic SegmentationPattern Recognition (Pattern Recogn.), 2023
Yixin Zhang
Maciej A. Mazurowski
3DV3DPC
351
18
0
11 May 2023
A Survey on the Robustness of Computer Vision Models against Common
  Corruptions
A Survey on the Robustness of Computer Vision Models against Common Corruptions
Shunxin Wang
Raymond N. J. Veldhuis
Christoph Brune
N. Strisciuglio
OODVLM
586
22
0
10 May 2023
The Treachery of Images: Bayesian Scene Keypoints for Deep Policy
  Learning in Robotic Manipulation
The Treachery of Images: Bayesian Scene Keypoints for Deep Policy Learning in Robotic ManipulationIEEE Robotics and Automation Letters (RA-L), 2023
Jan Ole von Hartz
Eugenio Chisari
Tim Welschehold
Wolfram Burgard
Joschka Boedecker
Abhinav Valada
SSL
243
15
0
08 May 2023
Echoes: Unsupervised Debiasing via Pseudo-bias Labeling in an Echo
  Chamber
Echoes: Unsupervised Debiasing via Pseudo-bias Labeling in an Echo ChamberACM Multimedia (ACM MM), 2023
Rui Hu
Yahan Tu
Jitao Sang
156
3
0
06 May 2023
Mining bias-target Alignment from Voronoi Cells
Mining bias-target Alignment from Voronoi CellsIEEE International Conference on Computer Vision (ICCV), 2023
Rémi Nahon
Van-Tam Nguyen
Enzo Tartaglione
149
6
0
05 May 2023
What Do Self-Supervised Vision Transformers Learn?
What Do Self-Supervised Vision Transformers Learn?International Conference on Learning Representations (ICLR), 2023
Namuk Park
Wonjae Kim
Byeongho Heo
Taekyung Kim
Sangdoo Yun
SSL
301
103
1
01 May 2023
Discover and Cure: Concept-aware Mitigation of Spurious Correlation
Discover and Cure: Concept-aware Mitigation of Spurious CorrelationInternational Conference on Machine Learning (ICML), 2023
Shirley Wu
Mert Yuksekgonul
Linjun Zhang
James Zou
349
85
0
01 May 2023
Zero-shot Unsupervised Transfer Instance Segmentation
Zero-shot Unsupervised Transfer Instance Segmentation
Gyungin Shin
Samuel Albanie
Weidi Xie
ISegVLM
303
7
0
27 Apr 2023
Domain Adaptive and Generalizable Network Architectures and Training
  Strategies for Semantic Image Segmentation
Domain Adaptive and Generalizable Network Architectures and Training Strategies for Semantic Image SegmentationIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2023
Lukas Hoyer
Dengxin Dai
Luc Van Gool
AI4CEOOD
383
38
0
26 Apr 2023
Depth-Relative Self Attention for Monocular Depth Estimation
Depth-Relative Self Attention for Monocular Depth EstimationInternational Joint Conference on Artificial Intelligence (IJCAI), 2023
Kyuhong Shim
Jiyoung Kim
Gusang Lee
B. Shim
MDE
185
8
0
25 Apr 2023
Learning Task-Specific Strategies for Accelerated MRI
Learning Task-Specific Strategies for Accelerated MRIIEEE Transactions on Computational Imaging (IEEE Trans. Comput. Imaging), 2023
Zihui Wu
Tianwei Yin
Yu Sun
R. Frost
A. Kouwe
Adrian Dalca
Katherine Bouman
199
7
0
25 Apr 2023
Augmentation-based Domain Generalization for Semantic Segmentation
Augmentation-based Domain Generalization for Semantic Segmentation
Manuel Schwonberg
Fadoua El Bouazati
Nico M. Schmidt
Hanno Gottschalk
207
13
0
24 Apr 2023
Survey on Unsupervised Domain Adaptation for Semantic Segmentation for
  Visual Perception in Automated Driving
Survey on Unsupervised Domain Adaptation for Semantic Segmentation for Visual Perception in Automated DrivingIEEE Access (IEEE Access), 2023
Manuel Schwonberg
J. Niemeijer
Jan-Aike Termöhlen
Jörg P. Schäfer
Nico M. Schmidt
Hanno Gottschalk
Tim Fingscheidt
OODAI4CE
262
48
0
24 Apr 2023
Universal Domain Adaptation via Compressive Attention Matching
Universal Domain Adaptation via Compressive Attention MatchingIEEE International Conference on Computer Vision (ICCV), 2023
Didi Zhu
Yincuan Li
Junkun Yuan
Zexi Li
Kun Kuang
Chao Wu
315
26
0
24 Apr 2023
Enhancing object detection robustness: A synthetic and natural
  perturbation approach
Enhancing object detection robustness: A synthetic and natural perturbation approach
N. Premakumara
B. Jalaeian
N. Suri
H. Samani
149
4
0
20 Apr 2023
OOD-CV-v2: An extended Benchmark for Robustness to Out-of-Distribution
  Shifts of Individual Nuisances in Natural Images
OOD-CV-v2: An extended Benchmark for Robustness to Out-of-Distribution Shifts of Individual Nuisances in Natural ImagesIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2023
Bingchen Zhao
Jiahao Wang
Wufei Ma
Artur Jesslen
Si-Jia Yang
Shaozuo Yu
O. Zendel
Christian Theobalt
Alan Yuille
Adam Kortylewski
308
15
0
17 Apr 2023
LSFSL: Leveraging Shape Information in Few-shot Learning
LSFSL: Leveraging Shape Information in Few-shot Learning
Deepan Padmanabhan
Shruthi Gowda
Elahe Arani
Bahram Zonooz
213
8
0
13 Apr 2023
Semantic-Aware Mixup for Domain Generalization
Semantic-Aware Mixup for Domain GeneralizationIEEE International Joint Conference on Neural Network (IJCNN), 2023
C. Xu
Xinmei Tian
AAML
156
3
0
12 Apr 2023
ImageNet-Hard: The Hardest Images Remaining from a Study of the Power of
  Zoom and Spatial Biases in Image Classification
ImageNet-Hard: The Hardest Images Remaining from a Study of the Power of Zoom and Spatial Biases in Image ClassificationNeural Information Processing Systems (NeurIPS), 2023
Mohammad Reza Taesiri
Giang Nguyen
Sarra Habchi
Cor-Paul Bezemer
Anh Totti Nguyen
VLM
337
27
0
11 Apr 2023
Pinpointing Why Object Recognition Performance Degrades Across Income
  Levels and Geographies
Pinpointing Why Object Recognition Performance Degrades Across Income Levels and Geographies
Laura Gustafson
Megan Richards
Melissa Hall
C. Hazirbas
Diane Bouchacourt
Mark Ibrahim
155
8
0
11 Apr 2023
Probing Conceptual Understanding of Large Visual-Language Models
Probing Conceptual Understanding of Large Visual-Language Models
Madeline Chantry Schiappa
Raiyaan Abdullah
Shehreen Azad
Jared Claypoole
Michael Cogswell
Ajay Divakaran
Yogesh S Rawat
317
22
0
07 Apr 2023
Hierarchical Disentanglement-Alignment Network for Robust SAR Vehicle
  Recognition
Hierarchical Disentanglement-Alignment Network for Robust SAR Vehicle RecognitionIEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (JSTARS), 2023
Wei-Jang Li
Wei Yang
Wenpeng Zhang
Tianpeng Liu
Yongxiang Liu
Wenshu Fan
269
29
0
07 Apr 2023
Exposing and Mitigating Spurious Correlations for Cross-Modal Retrieval
Exposing and Mitigating Spurious Correlations for Cross-Modal Retrieval
Jae Myung Kim
A. Sophia Koepke
Cordelia Schmid
Zeynep Akata
256
44
0
06 Apr 2023
Benchmarking Robustness to Text-Guided Corruptions
Benchmarking Robustness to Text-Guided Corruptions
Mohammadreza Mofayezi
Yasamin Medghalchi
DiffMVLM
146
4
0
06 Apr 2023
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