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On Interaction Between Augmentations and Corruptions in Natural Corruption Robustness

22 February 2021

Eric Mintun

A. Kirillov

Saining Xie

ArXiv (abs)PDF HTML Github (45★)

Papers citing "On Interaction Between Augmentations and Corruptions in Natural Corruption Robustness"

50 / 74 papers shown

Title
FedERL: Federated Efficient and Robust Learning for Common Corruptions Omar Bekdache Naresh Shanbhag FedML 8 0 0 24 Aug 2025
LAION-C: An Out-of-Distribution Benchmark for Web-Scale Vision Models Fanfei Li Thomas Klein Wieland Brendel Robert Geirhos Roland S. Zimmermann OODD 91 3 0 20 Jun 2025
DriveSuprim: Towards Precise Trajectory Selection for End-to-End Planning Wenhao Yao Zhenxin Li Shiyi Lan Zi Wang Xinglong Sun Jose M. Alvarez Zuxuan Wu 91 6 0 07 Jun 2025
Pseudo Multi-Source Domain Generalization: Bridging the Gap Between Single and Multi-Source Domain Generalization Shohei Enomoto OOD AI4CE 96 0 0 29 May 2025
Uniformity First: Uniformity-aware Test-time Adaptation of Vision-language Models against Image Corruption Kazuki Adachi Shin'ya Yamaguchi Tomoki Hamagami VLM 90 1 0 19 May 2025
Robo-SGG: Exploiting Layout-Oriented Normalization and Restitution for Robust Scene Graph Generation Changsheng Lv Mengshi Qi Z. Fu Huadong Ma 146 0 0 17 Apr 2025
Do ImageNet-trained models learn shortcuts? The impact of frequency shortcuts on generalization Shunxin Wang Raymond N. J. Veldhuis N. Strisciuglio VLM 195 0 0 05 Mar 2025
Growing Efficient Accurate and Robust Neural Networks on the Edge Vignesh Sundaresha Naresh Shanbhag 96 0 0 10 Oct 2024
Dynamic Sparse Training versus Dense Training: The Unexpected Winner in Image Corruption Robustness Boqian Wu Q. Xiao Shunxin Wang N. Strisciuglio Mykola Pechenizkiy M. V. Keulen Decebal Constantin Mocanu Elena Mocanu OOD 3DH 262 3 0 03 Oct 2024
Toward a Holistic Evaluation of Robustness in CLIP Models Weijie Tu Weijian Deng Tom Gedeon VLM 106 5 0 02 Oct 2024
Robust Network Learning via Inverse Scale Variational Sparsification Zhiling Zhou Zirui Liu Chengming Xu Yanwei Fu Xinwei Sun AAML 131 0 0 27 Sep 2024
CODE: Confident Ordinary Differential Editing B. V. Delft Tommaso Martorella Alexandre Alahi DiffM 144 0 0 22 Aug 2024
Protected Test-Time Adaptation via Online Entropy Matching: A Betting Approach Yarin Bar Shalev Shaer Yaniv Romano TTA OOD 180 8 0 14 Aug 2024
Label Augmentation for Neural Networks Robustness Fatemeh Amerehi Patrick Healy AAML 109 2 0 04 Aug 2024
Wavelet Convolutions for Large Receptive Fields Shahaf E. Finder Roy Amoyal Eran Treister Oren Freifeld ViT MDE 195 139 0 08 Jul 2024
Improving robustness to corruptions with multiplicative weight perturbations Trung Trinh Markus Heinonen Luigi Acerbi Samuel Kaski 107 1 0 24 Jun 2024
Benchmarking Out-of-Distribution Generalization Capabilities of DNN-based Encoding Models for the Ventral Visual Cortex Spandan Madan Will Xiao Mingran Cao Hanspeter Pfister Margaret Livingstone Gabriel Kreiman OOD 148 4 0 16 Jun 2024
Everything to the Synthetic: Diffusion-driven Test-time Adaptation via Synthetic-Domain Alignment Jiayi Guo Junhao Zhao Chunjiang Ge Chaoqun Du Zanlin Ni Shiji Song Humphrey Shi Gao Huang TTA DiffM 130 0 0 06 Jun 2024
Adaptive Sensitivity Analysis for Robust Augmentation against Natural Corruptions in Image Segmentation L. Zheng Wenjie Wei Tony Wu Jacob Clements Shreelekha Revankar Andre Harrison Yu Shen Ming-Chyuan Lin AAML 154 0 0 03 Jun 2024
On the Use of Anchoring for Training Vision Models V. Narayanaswamy Kowshik Thopalli Rushil Anirudh Yamen Mubarka W. Sakla Jayaraman J. Thiagarajan 147 1 0 01 Jun 2024
MANO: Exploiting Matrix Norm for Unsupervised Accuracy Estimation Under Distribution Shifts Renchunzi Xie Ambroise Odonnat Vasilii Feofanov Weijian Deng Jianfeng Zhang Bo An 132 2 0 29 May 2024
The Entropy Enigma: Success and Failure of Entropy Minimization Ori Press Ravid Shwartz-Ziv Yann LeCun Matthias Bethge UQCV 203 18 0 08 May 2024
Awareness of uncertainty in classification using a multivariate model and multi-views Alexey Kornaev E. Kornaeva Oleg Ivanov Ilya Pershin Danis Alukaev UQCV EDL 88 1 0 16 Apr 2024
Can Biases in ImageNet Models Explain Generalization? Paul Gavrikov J. Keuper OOD VLM 85 17 0 01 Apr 2024
HiKER-SGG: Hierarchical Knowledge Enhanced Robust Scene Graph Generation Ce Zhang Simon Stepputtis Joseph Campbell Katia Sycara Yaqi Xie 150 17 0 18 Mar 2024
Efficient Diffusion-Driven Corruption Editor for Test-Time Adaptation Yeongtak Oh Jonghyun Lee Jooyoung Choi Dahuin Jung Uiwon Hwang Sungroh Yoon TTA DiffM 110 6 0 16 Mar 2024
Fourier-basis Functions to Bridge Augmentation Gap: Rethinking Frequency Augmentation in Image Classification Puru Vaish Shunxin Wang N. Strisciuglio 110 15 0 04 Mar 2024
Assessing Visually-Continuous Corruption Robustness of Neural Networks Relative to Human Performance Huakun Shen Boyue Caroline Hu Krzysztof Czarnecki Lina Marsso Marsha Chechik 151 1 0 29 Feb 2024
A Modular System for Enhanced Robustness of Multimedia Understanding Networks via Deep Parametric Estimation F. Barbato Umberto Michieli Mehmet Karim Yucel Pietro Zanuttigh Mete Ozay 135 2 0 28 Feb 2024
A Closer Look at the Robustness of Contrastive Language-Image Pre-Training (CLIP) Weijie Tu Weijian Deng Tom Gedeon UQCV VLM 97 41 0 12 Feb 2024
Diversity-aware Buffer for Coping with Temporally Correlated Data Streams in Online Test-time Adaptation Mario Döbler Florian Marencke Robert A. Marsden Bin Yang TTA 109 3 0 02 Jan 2024
On Robustness to Missing Video for Audiovisual Speech Recognition Oscar Chang Otavio Braga H. Liao Dmitriy Serdyuk Olivier Siohan 124 11 0 13 Dec 2023
Does CLIP's Generalization Performance Mainly Stem from High Train-Test Similarity? Prasanna Mayilvahanan Thaddäus Wiedemer E. Rusak Matthias Bethge Wieland Brendel OODD 135 31 0 14 Oct 2023
Visual Data-Type Understanding does not emerge from Scaling Vision-Language Models Vishaal Udandarao Max F. Burg Samuel Albanie Matthias Bethge VLM 113 10 0 12 Oct 2023
DualAug: Exploiting Additional Heavy Augmentation with OOD Data Rejection Zehao Wang Yiwen Guo Qizhang Li Guanglei Yang Wangmeng Zuo 96 1 0 12 Oct 2023
IPMix: Label-Preserving Data Augmentation Method for Training Robust Classifiers Zhenglin Huang Xianan Bao Na Zhang Qingqi Zhang Xiaomei Tu Biao Wu Xi Yang 198 12 0 07 Oct 2023
CIFAR-10-Warehouse: Broad and More Realistic Testbeds in Model Generalization Analysis Chong You Xingjian Leng Zijian Wang Yang Yang Zi Huang Liang Zheng OOD 124 8 0 06 Oct 2023
Pixel-wise Smoothing for Certified Robustness against Camera Motion Perturbations Hanjiang Hu Zuxin Liu Linyi Li Jiacheng Zhu Ding Zhao 96 0 0 22 Sep 2023
Understanding Data Augmentation from a Robustness Perspective Zhendong Liu Jie Zhang Qiangqiang He Chongjun Wang AAML 104 2 0 07 Sep 2023
Large Separable Kernel Attention: Rethinking the Large Kernel Attention Design in CNN Kin Wai Lau L. Po Yasar Abbas Ur Rehman VLM 117 274 0 04 Sep 2023
Don't Look into the Sun: Adversarial Solarization Attacks on Image Classifiers Paul Gavrikov J. Keuper AAML 88 0 0 24 Aug 2023
HybridAugment++: Unified Frequency Spectra Perturbations for Model Robustness M. K. Yucel R. G. Cinbis Pinar Duygulu AAML 83 12 0 21 Jul 2023
A Holistic Assessment of the Reliability of Machine Learning Systems Anthony Corso David Karamadian Romeo Valentin Mary Cooper Mykel J. Kochenderfer 103 9 0 20 Jul 2023
Frequency-Based Vulnerability Analysis of Deep Learning Models against Image Corruptions Harshitha Machiraju Michael H. Herzog P. Frossard 90 0 0 12 Jun 2023
Universal Test-time Adaptation through Weight Ensembling, Diversity Weighting, and Prior Correction Robert A. Marsden Mario Döbler Bin Yang TTA 138 47 0 01 Jun 2023
A Survey on the Robustness of Computer Vision Models against Common Corruptions Shunxin Wang Raymond N. J. Veldhuis Christoph Brune N. Strisciuglio OOD VLM 191 16 0 10 May 2023
Investigating the Corruption Robustness of Image Classifiers with Random Lp-norm Corruptions George J. Siedel Weijia Shao S. Vock Andrey Morozov 116 3 0 09 May 2023
A Closer Look at Model Adaptation using Feature Distortion and Simplicity Bias Puja Trivedi Danai Koutra Jayaraman J. Thiagarajan AAML 99 18 0 23 Mar 2023
A Bag-of-Prototypes Representation for Dataset-Level Applications Wei-Chih Tu Weijian Deng Tom Gedeon Liang Zheng 109 12 0 23 Mar 2023
It Is All About Data: A Survey on the Effects of Data on Adversarial Robustness Peiyu Xiong Michael W. Tegegn Jaskeerat Singh Sarin Shubhraneel Pal Julia Rubin SILM AAML 136 12 0 17 Mar 2023