ImageNet-trained CNNs are biased towards texture; increasing shape bias improves accuracy and robustness

29 November 2018

Wieland Brendel

Papers citing "ImageNet-trained CNNs are biased towards texture; increasing shape bias improves accuracy and robustness"

50 / 426 papers shown

Title
LSFSL: Leveraging Shape Information in Few-shot Learning Deepan Padmanabhan Shruthi Gowda Elahe Arani Bahram Zonooz 23 6 0 13 Apr 2023
Hierarchical Disentanglement-Alignment Network for Robust SAR Vehicle Recognition Wei-Jang Li Wei Yang Wenpeng Zhang Tianpeng Liu Yongxiang Liu Y. Liu 30 18 0 07 Apr 2023
Robustmix: Improving Robustness by Regularizing the Frequency Bias of Deep Nets Jonas Ngnawé Marianne Abémgnigni Njifon Jonathan Heek Yann N. Dauphin OOD 16 4 0 06 Apr 2023
Implicit Visual Bias Mitigation by Posterior Estimate Sharpening of a Bayesian Neural Network Rebecca S Stone Nishant Ravikumar A. Bulpitt David C. Hogg BDL 36 0 0 29 Mar 2023
Text-to-Image Diffusion Models are Zero-Shot Classifiers Kevin Clark P. Jaini DiffM VLM 22 107 0 27 Mar 2023
Image Quality-aware Diagnosis via Meta-knowledge Co-embedding Haoxuan Che Si Chen Haoxing Chen 38 16 0 27 Mar 2023
Enhancing Multiple Reliability Measures via Nuisance-extended Information Bottleneck Jongheon Jeong Sihyun Yu Hankook Lee Jinwoo Shin AAML 41 0 0 24 Mar 2023
An Extended Study of Human-like Behavior under Adversarial Training Paul Gavrikov J. Keuper M. Keuper AAML 28 9 0 22 Mar 2023
Texture Learning Domain Randomization for Domain Generalized Segmentation Sunghwan Kim Dae-Hwan Kim Hoseong Kim 19 18 0 21 Mar 2023
Did You Train on My Dataset? Towards Public Dataset Protection with Clean-Label Backdoor Watermarking Ruixiang Tang Qizhang Feng Ninghao Liu Fan Yang Xia Hu 24 36 0 20 Mar 2023
Domain Generalization via Nuclear Norm Regularization Zhenmei Shi Yifei Ming Ying Fan Frederic Sala Yingyu Liang 30 12 0 13 Mar 2023
Modality-Agnostic Debiasing for Single Domain Generalization Sanqing Qu Yingwei Pan Guang-Sheng Chen Ting Yao Changjun Jiang Tao Mei 33 20 0 13 Mar 2023
Interventional Bag Multi-Instance Learning On Whole-Slide Pathological Images Tiancheng Lin Zhimiao Yu Hongyu Hu Yi Xu Changyi Chen 54 77 0 13 Mar 2023
Mark My Words: Dangers of Watermarked Images in ImageNet Kirill Bykov Klaus-Robert Muller Marina M.-C. Höhne 43 4 0 09 Mar 2023
PixMIM: Rethinking Pixel Reconstruction in Masked Image Modeling Yuan Liu Songyang Zhang Jiacheng Chen Kai-xiang Chen Dahua Lin 72 28 0 04 Mar 2023
Self-attention in Vision Transformers Performs Perceptual Grouping, Not Attention Paria Mehrani John K. Tsotsos 25 24 0 02 Mar 2023
DART: Diversify-Aggregate-Repeat Training Improves Generalization of Neural Networks Samyak Jain Sravanti Addepalli P. Sahu Priyam Dey R. Venkatesh Babu MoMe OOD 40 20 0 28 Feb 2023
A Comprehensive Study on Robustness of Image Classification Models: Benchmarking and Rethinking Chang-Shu Liu Yinpeng Dong Wenzhao Xiang X. Yang Hang Su Junyi Zhu YueFeng Chen Yuan He H. Xue Shibao Zheng OOD VLM AAML 30 72 0 28 Feb 2023
Spatial Bias for Attention-free Non-local Neural Networks Junhyung Go Jongbin Ryu SSL 11 10 0 24 Feb 2023
Delving into Identify-Emphasize Paradigm for Combating Unknown Bias Bowen Zhao Chen Chen Qian-Wei Wang Anfeng He Shutao Xia 29 1 0 22 Feb 2023
Steerable Equivariant Representation Learning Sangnie Bhardwaj Willie McClinton Tongzhou Wang Guillaume Lajoie Chen Sun Phillip Isola Dilip Krishnan OOD LLMSV 28 5 0 22 Feb 2023
Simple Disentanglement of Style and Content in Visual Representations Lilian Ngweta Subha Maity Alex Gittens Yuekai Sun Mikhail Yurochkin CoGe DRL 24 7 0 20 Feb 2023
Human-Centric Multimodal Machine Learning: Recent Advances and Testbed on AI-based Recruitment Alejandro Peña Ignacio Serna Aythami Morales Julian Fierrez Alfonso Ortega Ainhoa Herrarte Manuel Alcántara J. Ortega-Garcia FaML 25 34 0 13 Feb 2023
Stochastic Surprisal: An inferential measurement of Free Energy in Neural Networks M. Prabhushankar Ghassan Al-Regib 8 3 0 11 Feb 2023
Scaling Vision Transformers to 22 Billion Parameters Mostafa Dehghani Josip Djolonga Basil Mustafa Piotr Padlewski Jonathan Heek ... Mario Luvcić Xiaohua Zhai Daniel Keysers Jeremiah Harmsen N. Houlsby MLLM 61 570 0 10 Feb 2023
CosPGD: an efficient white-box adversarial attack for pixel-wise prediction tasks Shashank Agnihotri Steffen Jung M. Keuper AAML 29 21 0 04 Feb 2023
Fourier Sensitivity and Regularization of Computer Vision Models K. Krishnamachari See-Kiong Ng Chuan-Sheng Foo OOD 22 2 0 31 Jan 2023
Benchmarking Robustness to Adversarial Image Obfuscations Florian Stimberg Ayan Chakrabarti Chun-Ta Lu Hussein Hazimeh Otilia Stretcu ... Merve Kaya Cyrus Rashtchian Ariel Fuxman Mehmet Tek Sven Gowal AAML 29 10 0 30 Jan 2023
Adversarial Style Augmentation for Domain Generalization Yabin Zhang Bin Deng Ruihuang Li K. Jia Lei Zhang AAML OOD 18 14 0 30 Jan 2023
The Influences of Color and Shape Features in Visual Contrastive Learning Xiao-qiong Zhuang SSL 19 0 0 29 Jan 2023
Discovering and Mitigating Visual Biases through Keyword Explanation Younghyun Kim Sangwoo Mo Minkyu Kim Kyungmin Lee Jaeho Lee Jinwoo Shin 40 32 0 26 Jan 2023
Out of Distribution Performance of State of Art Vision Model Salman Rahman W. Lee 32 2 0 25 Jan 2023
RMM: Reinforced Memory Management for Class-Incremental Learning Yaoyao Liu Bernt Schiele Qianru Sun CLL 21 92 0 14 Jan 2023
Nuclear Segmentation and Classification: On Color & Compression Generalization Q. Vu R. Jewsbury S. Graham Mostafa Jahanifar S. Raza F. Minhas A. Bhalerao Nasir M. Rajpoot MedIm 19 6 0 09 Jan 2023
SMMix: Self-Motivated Image Mixing for Vision Transformers Mengzhao Chen Mingbao Lin Zhihang Lin Yu-xin Zhang Fei Chao Rongrong Ji 45 10 0 26 Dec 2022
Confidence-Aware Paced-Curriculum Learning by Label Smoothing for Surgical Scene Understanding Mengya Xu Mobarakol Islam Ben Glocker Hongliang Ren 28 1 0 22 Dec 2022
Minimizing Maximum Model Discrepancy for Transferable Black-box Targeted Attacks Anqi Zhao Tong Chu Yahao Liu Wen Li Jingjing Li Lixin Duan AAML 21 16 0 18 Dec 2022
Improving Unsupervised Video Object Segmentation with Motion-Appearance Synergy Long Lian Zhirong Wu Stella X. Yu VOS 14 0 0 17 Dec 2022
Interpretable ML for Imbalanced Data Damien Dablain C. Bellinger Bartosz Krawczyk D. Aha Nitesh V. Chawla 24 1 0 15 Dec 2022
Domain Generalization by Learning and Removing Domain-specific Features Yuzhu Ding Lei Wang Binxin Liang Shuming Liang Yang Wang Fangxiao Chen OOD 30 40 0 14 Dec 2022
Robust Perception through Equivariance Chengzhi Mao Lingyu Zhang Abhishek Joshi Junfeng Yang Hongya Wang Carl Vondrick BDL AAML 29 7 0 12 Dec 2022
Dynamic Test-Time Augmentation via Differentiable Functions Shohei Enomoto Monikka Roslianna Busto Takeharu Eda OOD 35 5 0 09 Dec 2022
A New Linear Scaling Rule for Private Adaptive Hyperparameter Optimization Ashwinee Panda Xinyu Tang Saeed Mahloujifar Vikash Sehwag Prateek Mittal 40 11 0 08 Dec 2022
Prediction of Scene Plausibility O. Nachmias Ohad Fried Ariel Shamir 3DV 21 0 0 02 Dec 2022
Denoising after Entropy-based Debiasing A Robust Training Method for Dataset Bias with Noisy Labels Sumyeong Ahn Se-Young Yun NoLa 26 2 0 01 Dec 2022
Rethinking Out-of-Distribution Detection From a Human-Centric Perspective Yao Zhu YueFeng Chen Xiaodan Li Rong Zhang Hui Xue Xiang Tian Rongxin Jiang Bo Zheng Yao-wu Chen OODD 23 7 0 30 Nov 2022
Finding Differences Between Transformers and ConvNets Using Counterfactual Simulation Testing Nataniel Ruiz Sarah Adel Bargal Cihang Xie Kate Saenko Stan Sclaroff ViT 33 5 0 29 Nov 2022
Chroma-VAE: Mitigating Shortcut Learning with Generative Classifiers Wanqian Yang Polina Kirichenko Micah Goldblum A. Wilson DRL 24 10 0 28 Nov 2022
Delving into Out-of-Distribution Detection with Vision-Language Representations Yifei Ming Ziyan Cai Jiuxiang Gu Yiyou Sun W. Li Yixuan Li VLM OODD 40 157 0 24 Nov 2022
How do Cross-View and Cross-Modal Alignment Affect Representations in Contrastive Learning? Thomas M. Hehn Julian F. P. Kooij D. Gavrila SSL 23 0 0 23 Nov 2022