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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
Low-Biased General Annotated Dataset Generation
Low-Biased General Annotated Dataset GenerationComputer Vision and Pattern Recognition (CVPR), 2024
Dengyang Jiang
Haoyu Wang
Lei Zhang
Wei Wei
Guang Dai
Mengmeng Wang
Jiangming Wang
Yanning Zhang
402
0
0
14 Dec 2024
Feat2GS: Probing Visual Foundation Models with Gaussian Splatting
Feat2GS: Probing Visual Foundation Models with Gaussian SplattingComputer Vision and Pattern Recognition (CVPR), 2024
Yue Chen
Xingyu Chen
Anpei Chen
Gerard Pons-Moll
Yuliang Xiu
3DGS
294
17
0
12 Dec 2024
Language Model as Visual Explainer
Language Model as Visual ExplainerNeural Information Processing Systems (NeurIPS), 2024
Xingyi Yang
Xinchao Wang
VLM
208
1
0
08 Dec 2024
Decomposed Distribution Matching in Dataset Condensation
Decomposed Distribution Matching in Dataset CondensationIEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2024
Sahar Rahimi Malakshan
Mohammad Saeed Ebrahimi Saadabadi
Ali Dabouei
Nasser M. Nasrabadi
DD
404
1
0
06 Dec 2024
OODFace: Benchmarking Robustness of Face Recognition under Common Corruptions and Appearance Variations
OODFace: Benchmarking Robustness of Face Recognition under Common Corruptions and Appearance Variations
Caixin Kang
Yubo Chen
Shouwei Ruan
Shiji Zhao
Ruochen Zhang
Jiayi Wang
Shan Fu
Xingxing Wei
CVBM
574
2
0
03 Dec 2024
Learning Structured Representations with Hyperbolic Embeddings
Learning Structured Representations with Hyperbolic EmbeddingsNeural Information Processing Systems (NeurIPS), 2024
Aditya Sinha
Siqi Zeng
M. Yamada
Han Zhao
380
7
0
02 Dec 2024
TinyViM: Frequency Decoupling for Tiny Hybrid Vision Mamba
TinyViM: Frequency Decoupling for Tiny Hybrid Vision Mamba
Xiaowen Ma
Zhenliang Ni
Xinghao Chen
Mamba
419
15
0
26 Nov 2024
Debiasing Classifiers by Amplifying Bias with Latent Diffusion and Large
  Language Models
Debiasing Classifiers by Amplifying Bias with Latent Diffusion and Large Language ModelsACM Symposium on Applied Computing (SAC), 2024
Donggeun Ko
Dongjun Lee
Namjun Park
Wonkyeong Shim
Jaekwang Kim
DiffM
226
0
0
25 Nov 2024
Chanel-Orderer: A Channel-Ordering Predictor for Tri-Channel Natural
  Images
Chanel-Orderer: A Channel-Ordering Predictor for Tri-Channel Natural Images
Shen Li
Lei Jiang
Wei Wang
Hongwei Hu
Liang Li
343
0
0
20 Nov 2024
Invariant Shape Representation Learning For Image Classification
Invariant Shape Representation Learning For Image ClassificationIEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2024
Tonmoy Hossain
Jing Ma
Jundong Li
Miaomiao Zhang
337
5
0
19 Nov 2024
Generalizable Person Re-identification via Balancing Alignment and UniformityNeural Information Processing Systems (NeurIPS), 2024
Y. Cho
JaeYoon Kim
Woo Jae Kim
Junsik Jung
Sung-eui Yoon
CVBMOOD
366
7
0
18 Nov 2024
Towards Utilising a Range of Neural Activations for Comprehending
  Representational Associations
Towards Utilising a Range of Neural Activations for Comprehending Representational AssociationsIEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2024
Laura O'Mahony
Nikola S. Nikolov
David JP O'Sullivan
445
2
0
15 Nov 2024
Guiding a diffusion model using sliding windows
Guiding a diffusion model using sliding windows
Nikolas Adaloglou
Tim Kaiser
Damir Iagudin
M. Kollmann
DiffM
571
1
0
15 Nov 2024
Are nuclear masks all you need for improved out-of-domain
  generalisation? A closer look at cancer classification in histopathology
Are nuclear masks all you need for improved out-of-domain generalisation? A closer look at cancer classification in histopathologyNeural Information Processing Systems (NeurIPS), 2024
Dhananjay Tomar
Alexander Binder
Andreas Kleppe
262
1
0
14 Nov 2024
Beyond object identification: How train drivers evaluate the risk of
  collision
Beyond object identification: How train drivers evaluate the risk of collision
Romy Müller
Judith Schmidt
87
2
0
08 Nov 2024
Pose-Transformation and Radial Distance Clustering for Unsupervised
  Person Re-identification
Pose-Transformation and Radial Distance Clustering for Unsupervised Person Re-identificationBritish Machine Vision Conference (BMVC), 2024
Siddharth Seth
Akash Sonth
Anirban Chakraborty
309
1
0
06 Nov 2024
Meta-Exploiting Frequency Prior for Cross-Domain Few-Shot Learning
Meta-Exploiting Frequency Prior for Cross-Domain Few-Shot LearningNeural Information Processing Systems (NeurIPS), 2024
Fei Zhou
Peng Wang
Lei Zhang
Zhaoyu Chen
Wei Wei
Chen Ding
Guosheng Lin
Yanning Zhang
302
6
0
03 Nov 2024
Focus On This, Not That! Steering LLMs with Adaptive Feature Specification
Focus On This, Not That! Steering LLMs with Adaptive Feature Specification
Tom A. Lamb
Adam Davies
Alasdair Paren
Juil Sock
Francesco Pinto
515
4
0
30 Oct 2024
Power side-channel leakage localization through adversarial training of
  deep neural networks
Power side-channel leakage localization through adversarial training of deep neural networks
Jimmy Gammell
A. Raghunathan
Kaushik Roy
AAML
237
0
0
29 Oct 2024
Cross-Entropy Is All You Need To Invert the Data Generating Process
Cross-Entropy Is All You Need To Invert the Data Generating ProcessInternational Conference on Learning Representations (ICLR), 2024
Patrik Reizinger
Alice Bizeul
Attila Juhos
Julia E. Vogt
Randall Balestriero
Wieland Brendel
David Klindt
SSLOODBDLDRL
562
17
0
29 Oct 2024
Beyond Interpretability: The Gains of Feature Monosemanticity on Model
  Robustness
Beyond Interpretability: The Gains of Feature Monosemanticity on Model RobustnessInternational Conference on Learning Representations (ICLR), 2024
Qi Zhang
Yifei Wang
Jingyi Cui
Xiang Pan
Qi Lei
Stefanie Jegelka
Yisen Wang
AAML
286
4
0
27 Oct 2024
FuseFL: One-Shot Federated Learning through the Lens of Causality with
  Progressive Model Fusion
FuseFL: One-Shot Federated Learning through the Lens of Causality with Progressive Model FusionNeural Information Processing Systems (NeurIPS), 2024
Zhenheng Tang
Yonggang Zhang
Peijie Dong
Yiu-ming Cheung
Amelie Chi Zhou
Bo Han
Xiaowen Chu
FedMLMoMeAI4CE
328
15
0
27 Oct 2024
Discriminating image representations with principal distortions
Discriminating image representations with principal distortionsInternational Conference on Learning Representations (ICLR), 2024
Jenelle Feather
David Lipshutz
Sarah E. Harvey
Alex H. Williams
Eero P. Simoncelli
183
4
0
20 Oct 2024
CosFairNet:A Parameter-Space based Approach for Bias Free Learning
CosFairNet:A Parameter-Space based Approach for Bias Free LearningBritish Machine Vision Conference (BMVC), 2024
Rajeev Ranjan Dwivedi
Priyadarshini Kumari
Vinod K Kurmi
193
1
0
19 Oct 2024
How Do Training Methods Influence the Utilization of Vision Models?
How Do Training Methods Influence the Utilization of Vision Models?
Paul Gavrikov
Shashank Agnihotri
Margret Keuper
J. Keuper
250
2
0
18 Oct 2024
S$^4$ST: A Strong, Self-transferable, faSt, and Simple Scale Transformation for Transferable Targeted Attack
S4^44ST: A Strong, Self-transferable, faSt, and Simple Scale Transformation for Transferable Targeted Attack
Yongxiang Liu
Bowen Peng
Li Liu
Xuzhao Li
748
0
0
13 Oct 2024
Towards Generalisable Time Series Understanding Across Domains
Towards Generalisable Time Series Understanding Across Domains
Özgün Turgut
Philip Muller
Fernando Navarro
Daniel Rueckert
AI4TS
300
5
0
09 Oct 2024
QT-DoG: Quantization-aware Training for Domain Generalization
QT-DoG: Quantization-aware Training for Domain Generalization
Saqib Javed
Hieu Le
Mathieu Salzmann
OODMQ
333
6
0
08 Oct 2024
SELECT: A Large-Scale Benchmark of Data Curation Strategies for Image
  Classification
SELECT: A Large-Scale Benchmark of Data Curation Strategies for Image ClassificationNeural Information Processing Systems (NeurIPS), 2024
Benjamin Feuer
Jiawei Xu
Niv Cohen
Patrick Yubeaton
Govind Mittal
Chinmay Hegde
192
4
0
07 Oct 2024
In-context Learning in Presence of Spurious Correlations
In-context Learning in Presence of Spurious Correlations
Hrayr Harutyunyan
R. Darbinyan
Samvel Karapetyan
Hrant Khachatrian
LRM
212
1
0
04 Oct 2024
Toward a Holistic Evaluation of Robustness in CLIP Models
Toward a Holistic Evaluation of Robustness in CLIP ModelsIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2024
Weijie Tu
Weijian Deng
Tom Gedeon
VLM
349
7
0
02 Oct 2024
One Wave To Explain Them All: A Unifying Perspective On Feature Attribution
One Wave To Explain Them All: A Unifying Perspective On Feature Attribution
Gabriel Kasmi
Amandine Brunetto
Thomas Fel
Jayneel Parekh
AAMLFAtt
408
0
0
02 Oct 2024
OSSA: Unsupervised One-Shot Style Adaptation
OSSA: Unsupervised One-Shot Style Adaptation
Robin Gerster
Holger Caesar
Matthias Rapp
Alexander Wolpert
Michael Teutsch
VLM
294
1
0
01 Oct 2024
Procedure-Aware Surgical Video-language Pretraining with Hierarchical Knowledge Augmentation
Procedure-Aware Surgical Video-language Pretraining with Hierarchical Knowledge AugmentationNeural Information Processing Systems (NeurIPS), 2024
Kun Yuan
V. Srivastav
Nassir Navab
N. Padoy
399
23
0
30 Sep 2024
Calibrating Language Models with Adaptive Temperature Scaling
Calibrating Language Models with Adaptive Temperature ScalingConference on Empirical Methods in Natural Language Processing (EMNLP), 2024
Johnathan Xie
Annie S. Chen
Yoonho Lee
Eric Mitchell
Chelsea Finn
246
34
0
29 Sep 2024
Crafting Distribution Shifts for Validation and Training in Single
  Source Domain Generalization
Crafting Distribution Shifts for Validation and Training in Single Source Domain GeneralizationIEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2024
Nikos Efthymiadis
Giorgos Tolias
Ondřej Chum
OOD
287
3
0
29 Sep 2024
Spectral Wavelet Dropout: Regularization in the Wavelet Domain
Spectral Wavelet Dropout: Regularization in the Wavelet DomainInternational Conference on Machine Learning and Applications (ICMLA), 2024
Rinor Cakaj
Jens Mehnert
Bin Yang
226
2
0
27 Sep 2024
Visual Data Diagnosis and Debiasing with Concept Graphs
Visual Data Diagnosis and Debiasing with Concept GraphsNeural Information Processing Systems (NeurIPS), 2024
Rwiddhi Chakraborty
Yinong Wang
Jialu Gao
Runkai Zheng
Cheng Zhang
Fernando de la Torre
234
6
0
26 Sep 2024
Shape-intensity knowledge distillation for robust medical image
  segmentation
Shape-intensity knowledge distillation for robust medical image segmentation
Wenhui Dong
Bo Du
Yongchao Xu
232
5
0
26 Sep 2024
Artificial Human Intelligence: The role of Humans in the Development of Next Generation AI
Artificial Human Intelligence: The role of Humans in the Development of Next Generation AI
Suayb S. Arslan
465
2
0
24 Sep 2024
Adenocarcinoma Segmentation Using Pre-trained Swin-UNet with Parallel
  Cross-Attention for Multi-Domain Imaging
Adenocarcinoma Segmentation Using Pre-trained Swin-UNet with Parallel Cross-Attention for Multi-Domain Imaging
Abdul Qayyum
Moona Mazher Imran Razzak
Steven Niederer
MedIm
149
0
0
23 Sep 2024
Simple Unsupervised Knowledge Distillation With Space Similarity
Simple Unsupervised Knowledge Distillation With Space SimilarityEuropean Conference on Computer Vision (ECCV), 2024
Aditya Singh
Haohan Wang
375
5
0
20 Sep 2024
Mamba-ST: State Space Model for Efficient Style Transfer
Mamba-ST: State Space Model for Efficient Style TransferIEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2024
Filippo Botti
Alex Ergasti
Leonardo Rossi
Tomaso Fontanini
Claudio Ferrari
Massimo Bertozzi
Andrea Prati
Mamba
218
11
0
16 Sep 2024
Enhancing Anomaly Detection via Generating Diversified and
  Hard-to-distinguish Synthetic Anomalies
Enhancing Anomaly Detection via Generating Diversified and Hard-to-distinguish Synthetic AnomaliesInternational Conference on Information and Knowledge Management (CIKM), 2024
Hyuntae Kim
Changhee Lee
AAML
149
3
0
16 Sep 2024
On Synthetic Texture Datasets: Challenges, Creation, and Curation
On Synthetic Texture Datasets: Challenges, Creation, and Curation
Blaine Hoak
Patrick McDaniel
EGVM
443
0
0
16 Sep 2024
Exploiting Supervised Poison Vulnerability to Strengthen Self-Supervised
  Defense
Exploiting Supervised Poison Vulnerability to Strengthen Self-Supervised DefenseEuropean Conference on Computer Vision (ECCV), 2024
Jeremy A. Styborski
Mingzhi Lyu
Yunpeng Huang
Adams Kong
340
1
0
13 Sep 2024
Control+Shift: Generating Controllable Distribution Shifts
Control+Shift: Generating Controllable Distribution Shifts
Roy Friedman
Rhea Chowers
207
0
0
12 Sep 2024
Connecting Concept Convexity and Human-Machine Alignment in Deep Neural
  Networks
Connecting Concept Convexity and Human-Machine Alignment in Deep Neural Networks
Teresa Dorszewski
Lenka Tětková
Lorenz Linhardt
Lars Kai Hansen
HAI
228
1
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10 Sep 2024
VFA: Vision Frequency Analysis of Foundation Models and Human
VFA: Vision Frequency Analysis of Foundation Models and Human
Mohammad Javad Darvishi Bayazi
Md Rifat Arefin
Jocelyn Faubert
Irina Rish
VLM
200
1
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09 Sep 2024
A Survey of the Self Supervised Learning Mechanisms for Vision Transformers
A Survey of the Self Supervised Learning Mechanisms for Vision Transformers
Asifullah Khan
A. Sohail
Mustansar Fiaz
Mehdi Hassan
Tariq Habib Afridi
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Muhammad Zaigham Zaheer
Kamran Ali
Tangina Sultana
Ziaurrehman Tanoli
Naeem Akhter
944
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