Improving Robustness Without Sacrificing Accuracy with Patch Gaussian Augmentation

6 June 2019

Raphael Gontijo-Lopes

Justin Gilmer

Papers citing "Improving Robustness Without Sacrificing Accuracy with Patch Gaussian Augmentation"

50 / 123 papers shown

Title
Robust Asymmetric Heterogeneous Federated Learning with Corrupted Clients Xiuwen Fang Mang Ye Bo Du FedML 66 1 0 12 Mar 2025
MoireDB: Formula-generated Interference-fringe Image Dataset Yuto Matsuo Ryo Hayamizu Hirokatsu Kataoka Akio Nakamura 37 0 0 03 Feb 2025
Exploring the design space of deep-learning-based weather forecasting systems Shoaib Ahmed Siddiqui Jean Kossaifi Boris Bonev Christopher Choy Jan Kautz David M. Krueger Kamyar Azizzadenesheli AI4CE OOD 20 3 0 09 Oct 2024
Crafting Distribution Shifts for Validation and Training in Single Source Domain Generalization Nikos Efthymiadis Giorgos Tolias Ondřej Chum OOD 13 0 0 29 Sep 2024
Robust Network Learning via Inverse Scale Variational Sparsification Zhiling Zhou Zirui Liu Chengming Xu Yanwei Fu Xinwei Sun AAML 27 0 0 27 Sep 2024
Problem-oriented AutoML in Clustering Matheus Camilo da Silva G. Tavares Eric Medvet Sylvio Barbon Junior 9 0 0 24 Sep 2024
First line of defense: A robust first layer mitigates adversarial attacks Janani Suresh Nancy Nayak Sheetal Kalyani AAML 22 0 0 21 Aug 2024
Label Augmentation for Neural Networks Robustness Fatemeh Amerehi Patrick Healy AAML 37 1 0 04 Aug 2024
Enhanced Model Robustness to Input Corruptions by Per-corruption Adaptation of Normalization Statistics Elena Camuffo Umberto Michieli Simone Milani J. Moon Mete Ozay 39 1 0 08 Jul 2024
Improving robustness to corruptions with multiplicative weight perturbations Trung Trinh Markus Heinonen Luigi Acerbi Samuel Kaski 36 0 0 24 Jun 2024
EfficientTrain++: Generalized Curriculum Learning for Efficient Visual Backbone Training Yulin Wang Yang Yue Rui Lu Yizeng Han Shiji Song Gao Huang VLM 56 12 0 14 May 2024
You Only Need Half: Boosting Data Augmentation by Using Partial Content Juntao Hu Yuan Wu 25 1 0 05 May 2024
Domain-Specific Block Selection and Paired-View Pseudo-Labeling for Online Test-Time Adaptation Yeonguk Yu Sungho Shin S. Back Minhwan Ko Sangjun Noh Kyoobin Lee TTA OOD 34 4 0 17 Apr 2024
Can Biases in ImageNet Models Explain Generalization? Paul Gavrikov J. Keuper OOD VLM 34 11 0 01 Apr 2024
FFT-based Selection and Optimization of Statistics for Robust Recognition of Severely Corrupted Images Elena Camuffo Umberto Michieli J. Moon Daehyun Kim Mete Ozay 23 2 0 21 Mar 2024
Data augmentation with automated machine learning: approaches and performance comparison with classical data augmentation methods A. Mumuni F. Mumuni 60 4 0 13 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 32 0 0 29 Feb 2024
Domain Generalization with Vital Phase Augmentation Ingyun Lee Wooju Lee Hyun Myung OOD 13 3 0 27 Dec 2023
Invariant Anomaly Detection under Distribution Shifts: A Causal Perspective João B. S. Carvalho Mengtao Zhang Robin Geyer C. Jiménez J. M. Buhmann 21 5 0 21 Dec 2023
SeiT++: Masked Token Modeling Improves Storage-efficient Training Min-Seob Lee Song Park Byeongho Heo Dongyoon Han Hyunjung Shim MQ VLM 18 1 0 15 Dec 2023
Dynamic Compositional Graph Convolutional Network for Efficient Composite Human Motion Prediction Wanying Zhang Shen Zhao Fanyang Meng Songtao Wu Mengyuan Liu 3DH AI4CE 4 5 0 23 Nov 2023
Learning-Based Biharmonic Augmentation for Point Cloud Classification Jiacheng Wei Guosheng Lin Henghui Ding Jie Hu Kim-Hui Yap 3DPC 10 0 0 10 Nov 2023
Dynamic Batch Norm Statistics Update for Natural Robustness Shahbaz Rezaei M. S. Norouzzadeh 6 0 0 31 Oct 2023
Training Image Derivatives: Increased Accuracy and Universal Robustness V. Avrutskiy 36 0 0 21 Oct 2023
Zone Evaluation: Revealing Spatial Bias in Object Detection Zhaohui Zheng Yuming Chen Qibin Hou Xiang Li Ping Wang Ming-Ming Cheng ObjD 24 3 0 20 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 25 7 0 07 Oct 2023
Rapid Network Adaptation: Learning to Adapt Neural Networks Using Test-Time Feedback Teresa Yeo Oğuzhan Fatih Kar Zahra Sodagar Amir Zamir TTA OOD 21 3 0 27 Sep 2023
Balancing Logit Variation for Long-tailed Semantic Segmentation Yuchao Wang Jingjing Fei Haochen Wang Wei Li Tianpeng Bao Liwei Wu Rui Zhao Yujun Shen 27 25 0 03 Jun 2023
Tied-Augment: Controlling Representation Similarity Improves Data Augmentation Emirhan Kurtuluş Zichao Li Yann N. Dauphin E. D. Cubuk 24 3 0 22 May 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 23 11 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 17 1 0 09 May 2023
Enhancing object detection robustness: A synthetic and natural perturbation approach N. Premakumara B. Jalaeian N. Suri H. Samani 17 3 0 20 Apr 2023
An Extended Study of Human-like Behavior under Adversarial Training Paul Gavrikov J. Keuper M. Keuper AAML 26 9 0 22 Mar 2023
DiffuMask: Synthesizing Images with Pixel-level Annotations for Semantic Segmentation Using Diffusion Models Weijia Wu Yuzhong Zhao Mike Zheng Shou Hong Zhou Chunhua Shen 31 140 0 21 Mar 2023
Deephys: Deep Electrophysiology, Debugging Neural Networks under Distribution Shifts Anirban Sarkar Matthew Groth I. Mason Tomotake Sasaki Xavier Boix 11 1 0 17 Mar 2023
Unproportional mosaicing Vojtech Molek P. Hurtík Pavel Vlasánek D. Adamczyk 19 1 0 03 Mar 2023
What Are Effective Labels for Augmented Data? Improving Calibration and Robustness with AutoLabel Yao Qin Xuezhi Wang Balaji Lakshminarayanan Ed H. Chi Alex Beutel UQCV 12 4 0 22 Feb 2023
Contrastive Learning with Consistent Representations Zihu Wang Yu Wang Hanbin Hu Peng Li CLL 24 5 0 03 Feb 2023
A Survey of Mix-based Data Augmentation: Taxonomy, Methods, Applications, and Explainability Chengtai Cao Fan Zhou Yurou Dai Jianping Wang Kunpeng Zhang AAML 16 27 0 21 Dec 2022
MixBoost: Improving the Robustness of Deep Neural Networks by Boosting Data Augmentation Zhendong Liu Wenyu Jiang Min Guo Chongjun Wang AAML 18 1 0 08 Dec 2022
Representational dissimilarity metric spaces for stochastic neural networks Lyndon Duong Jingyang Zhou Josue Nassar Jules Berman Jeroen Olieslagers Alex H. Williams 14 19 0 21 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 32 1 0 21 Nov 2022
EfficientTrain: Exploring Generalized Curriculum Learning for Training Visual Backbones Yulin Wang Yang Yue Rui Lu Tian-De Liu Zhaobai Zhong S. Song Gao Huang 32 28 0 17 Nov 2022
Frequency Dropout: Feature-Level Regularization via Randomized Filtering Mobarakol Islam Ben Glocker OOD 27 6 0 20 Sep 2022
Abutting Grating Illusion: Cognitive Challenge to Neural Network Models Jinyu Fan Yi Zeng AAML 24 1 0 08 Aug 2022
Class-Aware Universum Inspired Re-Balance Learning for Long-Tailed Recognition Enhao Zhang Chuanxing Geng Songcan Chen 30 2 0 26 Jul 2022
How Robust is your Fair Model? Exploring the Robustness of Diverse Fairness Strategies E. Small Wei Shao Zeliang Zhang Peihan Liu Jeffrey Chan Kacper Sokol Flora D. Salim 52 2 0 11 Jul 2022
A simple normalization technique using window statistics to improve the out-of-distribution generalization on medical images Chengfeng Zhou Songchang Chen Chenming Xu Jun Wang Feng Liu Chun Zhang Juan Ye Hefeng Huang Dahong Qian OOD 11 0 0 07 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 24 24 0 04 Jul 2022