Maximum-Entropy Adversarial Data Augmentation for Improved Generalization and Robustness

15 October 2020

Papers citing "Maximum-Entropy Adversarial Data Augmentation for Improved Generalization and Robustness"

39 / 39 papers shown

Title
Boosting Single-domain Generalized Object Detection via Vision-Language Knowledge Interaction Xiaoran Xu Jiangang Yang Wenyue Chong Wenhui Shi S. Jing Xing Jian Liu ObjD VLM 84 0 0 27 Apr 2025
Single Domain Generalization with Adversarial Memory Hao Yan Marzi Heidari Yuhong Guo 97 0 0 08 Mar 2025
PhysAug: A Physical-guided and Frequency-based Data Augmentation for Single-Domain Generalized Object Detection Xiaoran Xu Jiangang Yang Wenhui Shi Siyuan Ding Luqing Luo Jian Liu 81 1 0 24 Feb 2025
Robust Domain Generalization for Multi-modal Object Recognition Yuxin Qiao Keqin Li Junhong Lin Rong Wei Chufeng Jiang Yang Luo Haoyu Yang VLM 34 26 0 11 Aug 2024
TADA: Temporal Adversarial Data Augmentation for Time Series Data Byeong Tak Lee Joon-Myoung Kwon Yong-Yeon Jo TTA 31 0 0 21 Jul 2024
SegSTRONG-C: Segmenting Surgical Tools Robustly On Non-adversarial Generated Corruptions -- An EndoVis'24 Challenge Hao Ding Tuxun Lu Yuqian Zhang Ruixing Liang Hongchao Shu ... Bo Wang Marcos Fernández-Rodríguez Estevao Lima João L. Vilaça Mathias Unberath 60 4 0 16 Jul 2024
What Does Softmax Probability Tell Us about Classifiers Ranking Across Diverse Test Conditions? Weijie Tu Weijian Deng Liang Zheng Tom Gedeon 40 0 0 14 Jun 2024
Causality-inspired Latent Feature Augmentation for Single Domain Generalization Jian Xu Chaojie Ji Yankai Cao Ye Li Ruxin Wang OOD 29 0 0 10 Jun 2024
C-SAW: Self-Supervised Prompt Learning for Image Generalization in Remote Sensing Avigyan Bhattacharya Mainak Singha Ankit Jha Biplab Banerjee SSL VLM 19 6 0 27 Nov 2023
INSURE: An Information Theory Inspired Disentanglement and Purification Model for Domain Generalization Xi Yu Huan-Hsin Tseng Shinjae Yoo Haibin Ling Yuewei Lin OOD 27 10 0 08 Sep 2023
AFN: Adaptive Fusion Normalization via an Encoder-Decoder Framework Zikai Zhou Shuo Zhang Ziruo Wang Huanran Chen AI4CE 19 3 0 07 Aug 2023
Meta-causal Learning for Single Domain Generalization Jin Chen Zhiqiang Gao Xinxiao Wu Jiebo Luo OOD 31 41 0 07 Apr 2023
Progressive Random Convolutions for Single Domain Generalization Seokeon Choi Debasmit Das Sungha Choi Seunghan Yang Hyunsin Park Sungrack Yun 20 37 0 02 Apr 2023
Complementary Domain Adaptation and Generalization for Unsupervised Continual Domain Shift Learning Won-Yong Cho Jinha Park Taesup Kim CLL 27 5 0 28 Mar 2023
Look Beyond Bias with Entropic Adversarial Data Augmentation Thomas Duboudin Emmanuel Dellandréa Corentin Abgrall Gilles Hénaff Liming Luke Chen CML 35 4 0 10 Jan 2023
Style-Hallucinated Dual Consistency Learning: A Unified Framework for Visual Domain Generalization Yuyang Zhao Zhun Zhong Na Zhao N. Sebe G. Lee 27 29 0 18 Dec 2022
Learning Less Generalizable Patterns with an Asymmetrically Trained Double Classifier for Better Test-Time Adaptation Thomas Duboudin Emmanuel Dellandréa Corentin Abgrall Gilles Hénaff Limin Chen TTA 21 1 0 17 Oct 2022
GeoECG: Data Augmentation via Wasserstein Geodesic Perturbation for Robust Electrocardiogram Prediction Jiacheng Zhu Jielin Qiu Zhuolin Yang Douglas Weber M. Rosenberg Emerson Liu Bo-wen Li Ding Zhao OOD 28 13 0 02 Aug 2022
Adversarial Style Augmentation for Domain Generalized Urban-Scene Segmentation Zhun Zhong Yuyang Zhao G. Lee N. Sebe OOD 24 69 0 11 Jul 2022
Attention Consistency on Visual Corruptions for Single-Source Domain Generalization Ilke Çugu Massimiliano Mancini Yanbei Chen Zeynep Akata OOD 16 44 0 27 Apr 2022
Learning Instance-Specific Adaptation for Cross-Domain Segmentation Yuliang Zou Zizhao Zhang Chun-Liang Li Han Zhang Tomas Pfister Jia-Bin Huang TTA OOD 30 14 0 30 Mar 2022
Gate-Shift-Fuse for Video Action Recognition Swathikiran Sudhakaran Sergio Escalera O. Lanz 22 22 0 16 Mar 2022
Global-Local Regularization Via Distributional Robustness Hoang Phan Trung Le Trung-Nghia Phung Tu Bui Nhat Ho Dinh Q. Phung OOD 14 12 0 01 Mar 2022
DGSS : Domain Generalized Semantic Segmentation using Iterative Style Mining and Latent Representation Alignment P. Shyam Antyanta Bangunharcana Kuk-Jin Yoon Kyung-soo Kim 23 5 0 26 Feb 2022
A Systematic Review of Robustness in Deep Learning for Computer Vision: Mind the gap? Nathan G. Drenkow Numair Sani I. Shpitser Mathias Unberath 19 74 0 01 Dec 2021
AugMax: Adversarial Composition of Random Augmentations for Robust Training Haotao Wang Chaowei Xiao Jean Kossaifi Zhiding Yu Anima Anandkumar Zhangyang Wang 19 106 0 26 Oct 2021
Adversarial Parameter Defense by Multi-Step Risk Minimization Zhiyuan Zhang Ruixuan Luo Xuancheng Ren Qi Su Liangyou Li Xu Sun AAML 23 6 0 07 Sep 2021
Learning to Diversify for Single Domain Generalization Zijian Wang Yadan Luo Ruihong Qiu Zi Huang Mahsa Baktash 32 248 0 26 Aug 2021
Cooperative Training and Latent Space Data Augmentation for Robust Medical Image Segmentation C. L. P. Chen Kerstin Hammernik C. Ouyang C. Qin Wenjia Bai Daniel Rueckert OOD 17 20 0 02 Jul 2021
Non-Transferable Learning: A New Approach for Model Ownership Verification and Applicability Authorization Lixu Wang Shichao Xu Ruiqi Xu Xiao Wang Qi Zhu AAML 11 45 0 13 Jun 2021
Signal Transformer: Complex-valued Attention and Meta-Learning for Signal Recognition Yihong Dong Ying Peng Muqiao Yang Songtao Lu Qingjiang Shi 40 9 0 05 Jun 2021
Adversarially Adaptive Normalization for Single Domain Generalization Xinjie Fan Qifei Wang Junjie Ke Feng Yang Boqing Gong Mingyuan Zhou 27 129 0 01 Jun 2021
Progressive Domain Expansion Network for Single Domain Generalization Lei Li Ke Gao Juan Cao Ziyao Huang Yepeng Weng Xiaoyue Mi Zhengze Yu Xiaoya Li Boyang Xia OOD AI4CE 19 158 0 30 Mar 2021
Robust and Generalizable Visual Representation Learning via Random Convolutions Zhenlin Xu Deyi Liu Junlin Yang Colin Raffel Marc Niethammer OOD AAML 49 190 0 25 Jul 2020
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles Balaji Lakshminarayanan Alexander Pritzel Charles Blundell UQCV BDL 273 5,660 0 05 Dec 2016
Aggregated Residual Transformations for Deep Neural Networks Saining Xie Ross B. Girshick Piotr Dollár Z. Tu Kaiming He 297 10,216 0 16 Nov 2016
Adversarial Machine Learning at Scale Alexey Kurakin Ian Goodfellow Samy Bengio AAML 261 3,109 0 04 Nov 2016
Bayesian Convolutional Neural Networks with Bernoulli Approximate Variational Inference Y. Gal Zoubin Ghahramani UQCV BDL 197 745 0 06 Jun 2015
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 285 9,136 0 06 Jun 2015