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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"

24 / 74 papers shown

Title
Exploring Resiliency to Natural Image Corruptions in Deep Learning using Design Diversity Rafael Rosales Pablo Munoz Michael Paulitsch 100 2 0 15 Mar 2023
Fine-Grained ImageNet Classification in the Wild Maria Lymperaiou Konstantinos Thomas Giorgos Stamou VLM 99 1 0 04 Mar 2023
Ethical Considerations for Responsible Data Curation Jerone T. A. Andrews Dora Zhao William Thong Apostolos Modas Orestis Papakyriakopoulos Alice Xiang 212 24 0 07 Feb 2023
Confidence and Dispersity Speak: Characterising Prediction Matrix for Unsupervised Accuracy Estimation Weijian Deng Yumin Suh Stephen Gould Liang Zheng UQCV 122 15 0 02 Feb 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 113 10 0 30 Jan 2023
Rethinking Precision of Pseudo Label: Test-Time Adaptation via Complementary Learning Jiayi Han Longbin Zeng Liang Du Weiyang Ding Jianfeng Feng OOD TTA 101 21 0 15 Jan 2023
Dynamic Test-Time Augmentation via Differentiable Functions Shohei Enomoto Monikka Roslianna Busto Takeharu Eda OOD 127 6 0 09 Dec 2022
MixBoost: Improving the Robustness of Deep Neural Networks by Boosting Data Augmentation Zhendong Liu Wenyu Jiang Min Guo Chongjun Wang AAML 91 1 0 08 Dec 2022
Robust Mean Teacher for Continual and Gradual Test-Time Adaptation Mario Döbler Robert A. Marsden Bin Yang OOD TTA 111 106 0 23 Nov 2022
ImageNet-X: Understanding Model Mistakes with Factor of Variation Annotations Badr Youbi Idrissi Diane Bouchacourt Randall Balestriero Ivan Evtimov C. Hazirbas Nicolas Ballas Pascal Vincent M. Drozdzal David Lopez-Paz Mark Ibrahim VLM ViT 129 47 0 03 Nov 2022
Introducing Intermediate Domains for Effective Self-Training during Test-Time Robert A. Marsden Mario Döbler Bin Yang TTA OOD 93 9 0 16 Aug 2022
On the Strong Correlation Between Model Invariance and Generalization Weijian Deng Stephen Gould Liang Zheng OOD 124 20 0 14 Jul 2022
Back to the Source: Diffusion-Driven Test-Time Adaptation Jin Gao Jialing Zhang Xihui Liu Trevor Darrell Evan Shelhamer Dequan Wang TTA 149 63 0 07 Jul 2022
"Understanding Robustness Lottery": A Geometric Visual Comparative Analysis of Neural Network Pruning Approaches Zhimin Li Shusen Liu Xin Yu Kailkhura Bhavya Jie Cao Diffenderfer James Daniel P. Bremer Valerio Pascucci AAML 127 2 0 16 Jun 2022
3D Common Corruptions and Data Augmentation Oğuzhan Fatih Kar Teresa Yeo Andrei Atanov Amir Zamir 3DPC 186 124 0 02 Mar 2022
Benchmarking Robustness of 3D Point Cloud Recognition Against Common Corruptions Jiachen Sun Qingzhao Zhang B. Kailkhura Zhiding Yu Chaowei Xiao Z. Morley Mao 3DPC 118 95 0 28 Jan 2022
A ConvNet for the 2020s Zhuang Liu Hanzi Mao Chaozheng Wu Christoph Feichtenhofer Trevor Darrell Saining Xie ViT 285 5,740 0 10 Jan 2022
PRIME: A few primitives can boost robustness to common corruptions Apostolos Modas Rahul Rade Guillermo Ortiz-Jiménez Seyed-Mohsen Moosavi-Dezfooli P. Frossard AAML 109 49 0 27 Dec 2021
PixMix: Dreamlike Pictures Comprehensively Improve Safety Measures Dan Hendrycks Andy Zou Mantas Mazeika Leonard Tang Yue Liu Basel Alomair Jacob Steinhardt UQCV 111 154 0 09 Dec 2021
Dilated convolution with learnable spacings Ismail Khalfaoui-Hassani Thomas Pellegrini T. Masquelier 133 36 0 07 Dec 2021
Certified Adversarial Defenses Meet Out-of-Distribution Corruptions: Benchmarking Robustness and Simple Baselines Jiachen Sun Akshay Mehra B. Kailkhura Pin-Yu Chen Dan Hendrycks Jihun Hamm Z. Morley Mao AAML 89 23 0 01 Dec 2021
SimROD: A Simple Adaptation Method for Robust Object Detection Rindranirina Ramamonjison Amin Banitalebi-Dehkordi Xinyu Kang Xiaolong Bai Yong Zhang ObjD TTA 91 58 0 28 Jul 2021
Test-Time Adaptation to Distribution Shift by Confidence Maximization and Input Transformation Chaithanya Kumar Mummadi Robin Hutmacher K. Rambach Evgeny Levinkov Thomas Brox J. H. Metzen TTA OOD 186 73 0 28 Jun 2021
On the effectiveness of adversarial training against common corruptions Klim Kireev Maksym Andriushchenko Nicolas Flammarion AAML 115 108 0 03 Mar 2021