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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
Identifiable Contrastive Learning with Automatic Feature Importance
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Identifiable Contrastive Learning with Automatic Feature Importance DiscoveryNeural Information Processing Systems (NeurIPS), 2023
Tao Gui
Yifei Wang
Yisen Wang
263
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0
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Emergence of Shape Bias in Convolutional Neural Networks through
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Emergence of Shape Bias in Convolutional Neural Networks through Activation SparsityNeural Information Processing Systems (NeurIPS), 2023
Tianqin Li
Ziqi Wen
Yangfan Li
Tai Sing Lee
216
17
0
29 Oct 2023
OC-NMN: Object-centric Compositional Neural Module Network for
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OC-NMN: Object-centric Compositional Neural Module Network for Generative Visual Analogical Reasoning
Rim Assouel
Pau Rodríguez
Perouz Taslakian
David Vazquez
Yoshua Bengio
LRMOCL
199
0
0
28 Oct 2023
Benchmark Generation Framework with Customizable Distortions for Image
  Classifier Robustness
Benchmark Generation Framework with Customizable Distortions for Image Classifier RobustnessIEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2023
Soumyendu Sarkar
Ashwin Ramesh Babu
Sajad Mousavi
Zachariah Carmichael
Vineet Gundecha
Sahand Ghorbanpour
Ricardo Luna
Antonio Guillen-Perez
Avisek Naug
AAMLDiffM
254
6
0
28 Oct 2023
Group Robust Classification Without Any Group Information
Group Robust Classification Without Any Group InformationNeural Information Processing Systems (NeurIPS), 2023
Christos Tsirigotis
João Monteiro
Pau Rodríguez
David Vazquez
Aaron Courville
OOD
268
25
0
28 Oct 2023
On the Foundations of Shortcut Learning
On the Foundations of Shortcut LearningInternational Conference on Learning Representations (ICLR), 2023
Katherine Hermann
Hossein Mobahi
Thomas Fel
M. C. Mozer
VLM
408
62
0
24 Oct 2023
RoboDepth: Robust Out-of-Distribution Depth Estimation under Corruptions
RoboDepth: Robust Out-of-Distribution Depth Estimation under CorruptionsNeural Information Processing Systems (NeurIPS), 2023
Lingdong Kong
Shaoyuan Xie
Hanjiang Hu
Lai Xing Ng
Benoit R. Cottereau
Wei Tsang Ooi
OODD
290
57
0
23 Oct 2023
Adversarial Image Generation by Spatial Transformation in Perceptual
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Adversarial Image Generation by Spatial Transformation in Perceptual ColorspacesPattern Recognition Letters (PR), 2023
A. Aydin
A. Temi̇zel
190
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0
21 Oct 2023
OODRobustBench: a Benchmark and Large-Scale Analysis of Adversarial
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OODRobustBench: a Benchmark and Large-Scale Analysis of Adversarial Robustness under Distribution Shift
Lin Li
Yifei Wang
Chawin Sitawarin
Michael W. Spratling
320
12
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19 Oct 2023
Fast Model Debias with Machine Unlearning
Fast Model Debias with Machine UnlearningNeural Information Processing Systems (NeurIPS), 2023
Ruizhe Chen
Jianfei Yang
Huimin Xiong
Jianhong Bai
Tianxiang Hu
Jinxiang Hao
Yang Feng
Qiufeng Wang
Jian Wu
Zuo-Qiang Liu
MU
381
97
0
19 Oct 2023
Getting aligned on representational alignment
Getting aligned on representational alignment
Ilia Sucholutsky
Lukas Muttenthaler
Adrian Weller
Andi Peng
Andreea Bobu
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Thomas Unterthiner
Andrew Kyle Lampinen
Klaus-Robert Muller
M. Toneva
Thomas Griffiths
333
135
0
18 Oct 2023
Removing Spurious Concepts from Neural Network Representations via Joint
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Removing Spurious Concepts from Neural Network Representations via Joint Subspace EstimationInternational Conference on Machine Learning (ICML), 2023
Floris Holstege
Bram Wouters
Noud van Giersbergen
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227
3
0
18 Oct 2023
Dual Cognitive Architecture: Incorporating Biases and Multi-Memory
  Systems for Lifelong Learning
Dual Cognitive Architecture: Incorporating Biases and Multi-Memory Systems for Lifelong Learning
Shruthi Gowda
Bahram Zonooz
Elahe Arani
233
5
0
17 Oct 2023
FusionU-Net: U-Net with Enhanced Skip Connection for Pathology Image
  Segmentation
FusionU-Net: U-Net with Enhanced Skip Connection for Pathology Image SegmentationAsian Conference on Machine Learning (ACML), 2023
Zongyi Li
H. Lyu
Jun Wang
SSeg
130
13
0
17 Oct 2023
Instilling Inductive Biases with Subnetworks
Instilling Inductive Biases with Subnetworks
Enyan Zhang
Michael A. Lepori
Ellie Pavlick
AI4CE
266
5
0
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Deep Neural Networks Can Learn Generalizable Same-Different Visual Relations
Deep Neural Networks Can Learn Generalizable Same-Different Visual Relations
Alexa R. Tartaglini
Sheridan Feucht
Michael A. Lepori
Wai Keen Vong
Charles Lovering
Brenden M. Lake
Ellie Pavlick
OODViT
275
5
0
14 Oct 2023
Selectivity Drives Productivity: Efficient Dataset Pruning for Enhanced
  Transfer Learning
Selectivity Drives Productivity: Efficient Dataset Pruning for Enhanced Transfer LearningNeural Information Processing Systems (NeurIPS), 2023
Yihua Zhang
Yimeng Zhang
Chenyi Zi
Jinghan Jia
Jiancheng Liu
Gaowen Liu
Min-Fong Hong
Shiyu Chang
Sijia Liu
AAML
383
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Impact of Label Types on Training SWIN Models with Overhead Imagery
Impact of Label Types on Training SWIN Models with Overhead Imagery
Ryan Ford
Kenneth Hutchison
Nicholas Felts
Benjamin Cheng
Jesse Lew
Kyle Jackson
222
0
0
11 Oct 2023
Does resistance to style-transfer equal Global Shape Bias? Measuring
  network sensitivity to global shape configuration
Does resistance to style-transfer equal Global Shape Bias? Measuring network sensitivity to global shape configuration
Ziqi Wen
Tianqin Li
Zhi Jing
Tai Sing Lee
OOD
342
1
0
11 Oct 2023
Mitigating Simplicity Bias in Deep Learning for Improved OOD
  Generalization and Robustness
Mitigating Simplicity Bias in Deep Learning for Improved OOD Generalization and Robustness
Bhavya Vasudeva
Kameron Shahabi
Willie Neiswanger
240
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09 Oct 2023
Understanding the Robustness of Multi-modal Contrastive Learning to
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Understanding the Robustness of Multi-modal Contrastive Learning to Distribution ShiftInternational Conference on Learning Representations (ICLR), 2023
Yihao Xue
Siddharth Joshi
Dang Nguyen
Baharan Mirzasoleiman
VLM
242
5
0
08 Oct 2023
IPMix: Label-Preserving Data Augmentation Method for Training Robust
  Classifiers
IPMix: Label-Preserving Data Augmentation Method for Training Robust ClassifiersNeural Information Processing Systems (NeurIPS), 2023
Zhenglin Huang
Xianan Bao
Na Zhang
Qingqi Zhang
Xiaomei Tu
Biao Wu
Xi Yang
600
16
0
07 Oct 2023
Logical Bias Learning for Object Relation Prediction
Logical Bias Learning for Object Relation Prediction
Xinyu Zhou
Zihan Ji
Anna Zhu
CVBM
194
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01 Oct 2023
A Survey of Robustness and Safety of 2D and 3D Deep Learning Models
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A Survey of Robustness and Safety of 2D and 3D Deep Learning Models Against Adversarial AttacksACM Computing Surveys (ACM Comput. Surv.), 2023
Yanjie Li
Bin Xie
Songtao Guo
Yuanyuan Yang
Bin Xiao
AAML
260
36
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01 Oct 2023
Finger-UNet: A U-Net based Multi-Task Architecture for Deep Fingerprint
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Finger-UNet: A U-Net based Multi-Task Architecture for Deep Fingerprint EnhancementVISIGRAPP (VISIGRAPP), 2023
Ekta Gavas
A. Namboodiri
CVBM
184
5
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01 Oct 2023
Directly Fine-Tuning Diffusion Models on Differentiable Rewards
Directly Fine-Tuning Diffusion Models on Differentiable RewardsInternational Conference on Learning Representations (ICLR), 2023
Amita Gajewar
Paul Vicol
G. Bansal
David J Fleet
268
300
0
29 Sep 2023
Intriguing properties of generative classifiers
Intriguing properties of generative classifiersInternational Conference on Learning Representations (ICLR), 2023
P. Jaini
Kevin Clark
Robert Geirhos
BDL
458
51
0
28 Sep 2023
Latent Noise Segmentation: How Neural Noise Leads to the Emergence of
  Segmentation and Grouping
Latent Noise Segmentation: How Neural Noise Leads to the Emergence of Segmentation and GroupingInternational Conference on Machine Learning (ICML), 2023
Vincent Mallet
Zhengqing Wu
M. Ovsjanikov
275
5
0
28 Sep 2023
A Primer on Bayesian Neural Networks: Review and Debates
A Primer on Bayesian Neural Networks: Review and Debates
Federico Danieli
Konstantinos Pitas
M. Vladimirova
Vincent Fortuin
BDLAAML
287
35
0
28 Sep 2023
Spatial-frequency channels, shape bias, and adversarial robustness
Spatial-frequency channels, shape bias, and adversarial robustnessNeural Information Processing Systems (NeurIPS), 2023
Ajay Subramanian
E. Sizikova
N. Majaj
D. Pelli
AAML
197
27
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22 Sep 2023
A Sentence Speaks a Thousand Images: Domain Generalization through
  Distilling CLIP with Language Guidance
A Sentence Speaks a Thousand Images: Domain Generalization through Distilling CLIP with Language GuidanceIEEE International Conference on Computer Vision (ICCV), 2023
Zeyi Huang
Andy Zhou
Zijian Lin
Mu Cai
Haohan Wang
Yong Jae Lee
VLMOOD
237
51
0
21 Sep 2023
Can We Reliably Improve the Robustness to Image Acquisition of Remote
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Can We Reliably Improve the Robustness to Image Acquisition of Remote Sensing of PV Systems?
Gabriel Kasmi
L. Dubus
Yves-Marie Saint Drenan
Philippe Blanc
238
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Online Supervised Training of Spaceborne Vision during Proximity
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Online Supervised Training of Spaceborne Vision during Proximity Operations using Adaptive Kalman FilteringIEEE International Conference on Robotics and Automation (ICRA), 2023
T. Park
Simone DÁmico
338
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More complex encoder is not all you need
More complex encoder is not all you need
Weibin Yang
Longwei Xu
Pengwei Wang
Dehua Geng
Yusong Li
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Zhiqi Dong
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200
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Extreme Image Transformations Facilitate Robust Latent Object
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Girik Malik
Dakarai Crowder
E. Mingolla
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196
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0
19 Sep 2023
Enhancing Visual Perception in Novel Environments via Incremental Data
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Abhibha Gupta
Rully Agus Hendrawan
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319
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0
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Towards Last-layer Retraining for Group Robustness with Fewer
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Towards Last-layer Retraining for Group Robustness with Fewer AnnotationsNeural Information Processing Systems (NeurIPS), 2023
Tyler LaBonte
Vidya Muthukumar
Abhishek Kumar
421
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Understanding the limitations of self-supervised learning for tabular
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Kimberly T. Mai
Toby O. Davies
Lewis D. Griffin
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357
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Hardening RGB-D Object Recognition Systems against Adversarial Patch
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Hardening RGB-D Object Recognition Systems against Adversarial Patch AttacksInformation Sciences (Inf. Sci.), 2023
Yang Zheng
Christian Scano
Antonio Emanuele Cinà
Xiaoyi Feng
Zhaoqiang Xia
Xiaoyue Jiang
Ambra Demontis
Battista Biggio
Fabio Roli
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208
6
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13 Sep 2023
TransNet: A Transfer Learning-Based Network for Human Action Recognition
TransNet: A Transfer Learning-Based Network for Human Action RecognitionInternational Conference on Machine Learning and Applications (ICMLA), 2023
Khaled Alomar
Xiaohao Cai
239
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A 3M-Hybrid Model for the Restoration of Unique Giant Murals: A Case
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A 3M-Hybrid Model for the Restoration of Unique Giant Murals: A Case Study on the Murals of Yongle PalaceIEEE Access (IEEE Access), 2023
Jing Yang
Nur Intan Raihana Ruhaiyem
Chichun Zhou
161
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12 Sep 2023
Divergences in Color Perception between Deep Neural Networks and Humans
Divergences in Color Perception between Deep Neural Networks and Humans
E. Nadler
Elise Darragh-Ford
Bhargav Srinivasa Desikan
Christian Conaway
Mark Chu
Tasker Hull
Douglas Guilbeault
159
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Large Separable Kernel Attention: Rethinking the Large Kernel Attention
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Kin Wai Lau
L. Po
Yasar Abbas Ur Rehman
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255
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SOAR: Scene-debiasing Open-set Action Recognition
SOAR: Scene-debiasing Open-set Action RecognitionIEEE International Conference on Computer Vision (ICCV), 2023
Yuanhao Zhai
Ziyi Liu
Zhenyu Wu
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Chunluan Zhou
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316
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Beyond Self-Attention: Deformable Large Kernel Attention for Medical
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Laplacian-Former: Overcoming the Limitations of Vision Transformers in
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Reza Azad
Amirhossein Kazerouni
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FACET: Fairness in Computer Vision Evaluation Benchmark
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Occlusion-Aware Detection and Re-ID Calibrated Network for Multi-Object
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Multimodal Foundation Models For Echocardiogram Interpretation
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