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
ModelDiff: A Framework for Comparing Learning Algorithms Harshay Shah Sung Min Park Andrew Ilyas A. Madry SyDa 51 26 0 22 Nov 2022
Unveiling the Tapestry: the Interplay of Generalization and Forgetting in Continual Learning Zenglin Shi Jing Jie Ying Sun J. Lim Mengmi Zhang CLL 36 1 0 21 Nov 2022
Internal Representations of Vision Models Through the Lens of Frames on Data Manifolds Henry Kvinge Grayson Jorgenson Davis Brown Charles Godfrey Tegan H. Emerson 52 2 0 19 Nov 2022
DeepDC: Deep Distance Correlation as a Perceptual Image Quality Evaluator Hanwei Zhu Baoliang Chen Lingyu Zhu Shiqi Wang Weisi Lin 25 6 0 09 Nov 2022
Harmonizing the object recognition strategies of deep neural networks with humans Thomas Fel Ivan Felipe Drew Linsley Thomas Serre 33 71 0 08 Nov 2022
Going In Style: Audio Backdoors Through Stylistic Transformations Stefanos Koffas Luca Pajola S. Picek Mauro Conti 15 23 0 06 Nov 2022
FedTP: Federated Learning by Transformer Personalization Hongxia Li Zhongyi Cai Jingya Wang Jiangnan Tang Weiping Ding Chin-Teng Lin Ye-ling Shi FedML 32 59 0 03 Nov 2022
Style Augmentation improves Medical Image Segmentation Kévin Ginsburger 20 0 0 02 Nov 2022
Signing Outside the Studio: Benchmarking Background Robustness for Continuous Sign Language Recognition Youngjoon Jang Youngtaek Oh Jae-Won Cho Dong-Jin Kim Joon Son Chung In So Kweon SLR 24 12 0 01 Nov 2022
Benchmarking performance of object detection under image distortions in an uncontrolled environment Ayman Beghdadi Malik Mallem Lotfi Beji 31 5 0 28 Oct 2022
Revisiting Sparse Convolutional Model for Visual Recognition Xili Dai Mingyang Li Pengyuan Zhai Shengbang Tong Xingjian Gao Shao-Lun Huang Zhihui Zhu Chong You Y. Ma FAtt 35 27 0 24 Oct 2022
On Feature Learning in the Presence of Spurious Correlations Pavel Izmailov Polina Kirichenko Nate Gruver A. Wilson 34 117 0 20 Oct 2022
Composite Learning for Robust and Effective Dense Predictions Menelaos Kanakis Thomas E. Huang David Brüggemann F. I. F. Richard Yu Luc Van Gool SSL 39 3 0 13 Oct 2022
Transformers generalize differently from information stored in context vs in weights Stephanie C. Y. Chan Ishita Dasgupta Junkyung Kim D. Kumaran Andrew Kyle Lampinen Felix Hill 104 45 0 11 Oct 2022
Visual Prompt Tuning for Test-time Domain Adaptation Yunhe Gao Xingjian Shi Yi Zhu Hongya Wang Zhiqiang Tang Xiong Zhou Mu Li Dimitris N. Metaxas VPVLM VLM 37 80 0 10 Oct 2022
ViewFool: Evaluating the Robustness of Visual Recognition to Adversarial Viewpoints Yinpeng Dong Shouwei Ruan Hang Su Cai Kang Xingxing Wei Junyi Zhu AAML 28 50 0 08 Oct 2022
Quantitative Metrics for Evaluating Explanations of Video DeepFake Detectors Federico Baldassarre Quentin Debard Gonzalo Fiz Pontiveros Tri Kurniawan Wijaya 41 4 0 07 Oct 2022
WUDA: Unsupervised Domain Adaptation Based on Weak Source Domain Labels Shengjie Liu Chuanglu Zhu Wenqi Tang 27 0 0 05 Oct 2022
Reconstruction-guided attention improves the robustness and shape processing of neural networks Seoyoung Ahn Hossein Adeli G. Zelinsky DiffM AAML 25 1 0 27 Sep 2022
Frequency Dropout: Feature-Level Regularization via Randomized Filtering Mobarakol Islam Ben Glocker OOD 32 6 0 20 Sep 2022
Probing Spurious Correlations in Popular Event-Based Rumor Detection Benchmarks Jiaying Wu Bryan Hooi 26 5 0 19 Sep 2022
Impact of Colour Variation on Robustness of Deep Neural Networks Chen-Hao Hu Weiwen Shi AAML OOD 17 1 0 02 Sep 2022
MRL: Learning to Mix with Attention and Convolutions Shlok Mohta Hisahiro Suganuma Yoshiki Tanaka 22 2 0 30 Aug 2022
A novel method for data augmentation: Nine Dot Moving Least Square (ND-MLS) Wen Yang Rui Wang Yanchao Zhang 16 0 0 24 Aug 2022
Meta-Causal Feature Learning for Out-of-Distribution Generalization Yuqing Wang Xiangxian Li Zhuang Qi Jingyu Li Xuelong Li Xiangxu Meng Lei Meng OOD OODD BDL 38 25 0 22 Aug 2022
GCISG: Guided Causal Invariant Learning for Improved Syn-to-real Generalization Gilhyun Nam Gyeongjae Choi Kyungmin Lee OOD 18 4 0 22 Aug 2022
Discovering Bugs in Vision Models using Off-the-shelf Image Generation and Captioning Olivia Wiles Isabela Albuquerque Sven Gowal VLM 30 47 0 18 Aug 2022
DropKey Bonan Li Yinhan Hu Xuecheng Nie Congying Han Xiangjian Jiang Tiande Guo Luoqi Liu 15 11 0 04 Aug 2022
MOVE: Effective and Harmless Ownership Verification via Embedded External Features Yiming Li Linghui Zhu Xiaojun Jia Yang Bai Yong Jiang Shutao Xia Xiaochun Cao Kui Ren AAML 41 12 0 04 Aug 2022
Visual Interpretable and Explainable Deep Learning Models for Brain Tumor MRI and COVID-19 Chest X-ray Images Yusuf Brima M. Atemkeng FAtt MedIm 21 0 0 01 Aug 2022
Contributions of Shape, Texture, and Color in Visual Recognition Yunhao Ge Yao Xiao Zhi-Qin John Xu X. Wang Laurent Itti 3DH 16 26 0 19 Jul 2022
Leakage and the Reproducibility Crisis in ML-based Science Sayash Kapoor Arvind Narayanan 25 177 0 14 Jul 2022
Predicting is not Understanding: Recognizing and Addressing Underspecification in Machine Learning Damien Teney Maxime Peyrard Ehsan Abbasnejad 35 29 0 06 Jul 2022
Robustness Analysis of Video-Language Models Against Visual and Language Perturbations Madeline Chantry Schiappa Shruti Vyas Hamid Palangi Y. S. Rawat Vibhav Vineet VLM 120 17 0 05 Jul 2022
Large-scale Robustness Analysis of Video Action Recognition Models Madeline Chantry Schiappa Naman Biyani Prudvi Kamtam Shruti Vyas Hamid Palangi Vibhav Vineet Y. S. Rawat AAML 26 24 0 04 Jul 2022
Removing Batch Normalization Boosts Adversarial Training Haotao Wang Aston Zhang Shuai Zheng Xingjian Shi Mu Li Zhangyang Wang 32 41 0 04 Jul 2022
Benchmarking the Robustness of Deep Neural Networks to Common Corruptions in Digital Pathology Yunlong Zhang Yuxuan Sun Honglin Li S. Zheng Chenglu Zhu L. Yang OOD 59 27 0 30 Jun 2022
Towards out of distribution generalization for problems in mechanics Lingxiao Yuan Harold S. Park Emma Lejeune OOD AI4CE 33 17 0 29 Jun 2022
Distilling Model Failures as Directions in Latent Space Saachi Jain Hannah Lawrence Ankur Moitra A. Madry 18 89 0 29 Jun 2022
Auditing Visualizations: Transparency Methods Struggle to Detect Anomalous Behavior Jean-Stanislas Denain Jacob Steinhardt AAML 33 7 0 27 Jun 2022
Contrastive Learning of Features between Images and LiDAR Peng-Tao Jiang Srikanth Saripalli 3DPC SSL 20 6 0 24 Jun 2022
What makes you, you? Analyzing Recognition by Swapping Face Parts Claudio Ferrari Matteo Serpentoni Stefano Berretti A. Bimbo CVBM 3DPC 24 5 0 23 Jun 2022
How Robust is Unsupervised Representation Learning to Distribution Shift? Yuge Shi Imant Daunhawer Julia E. Vogt Philip H. S. Torr Amartya Sanyal OOD 32 25 0 17 Jun 2022
Self-Supervised Contrastive Pre-Training For Time Series via Time-Frequency Consistency Xiang Zhang Ziyuan Zhao Theodoros Tsiligkaridis Marinka Zitnik AI4TS 25 271 0 17 Jun 2022
A Meta-Analysis of Distributionally-Robust Models Ben Feuer Ameya Joshi C. Hegde OOD VLM 35 3 0 15 Jun 2022
INDIGO: Intrinsic Multimodality for Domain Generalization Puneet Mangla Shivam Chandhok Milan Aggarwal V. Balasubramanian Balaji Krishnamurthy VLM 35 2 0 13 Jun 2022
Learning with Capsules: A Survey Fabio De Sousa Ribeiro Kevin Duarte Miles Everett Georgios Leontidis M. Shah 3DPC MedIm 18 19 0 06 Jun 2022
Two Decades of Bengali Handwritten Digit Recognition: A Survey A. A. Ashikur Rahman Md. Bakhtiar Hasan Sabbir Ahmed Tasnim Ahmed Md. Hamjajul Ashmafee Mohammad Ridwan Kabir M. H. Kabir 30 24 0 05 Jun 2022
Learning Invariant Visual Representations for Compositional Zero-Shot Learning Tian Zhang Kongming Liang Ruoyi Du Xian Sun Zhanyu Ma Jun Guo CoGe BDL 31 32 0 01 Jun 2022
Revisiting the Importance of Amplifying Bias for Debiasing Jungsoo Lee Jeonghoon Park Daeyoung Kim Juyoung Lee E. Choi Jaegul Choo 39 21 0 29 May 2022