Adversarial AutoAugment

24 December 2019

Papers citing "Adversarial AutoAugment"

50 / 130 papers shown

Title
Semi-Supervised and Unsupervised Deep Visual Learning: A Survey Yanbei Chen Massimiliano Mancini Xiatian Zhu Zeynep Akata 36 113 0 24 Aug 2022
AADG: Automatic Augmentation for Domain Generalization on Retinal Image Segmentation Junyan Lyu Yiqi Zhang Yijin Huang Li Lin Pujin Cheng Xiaoying Tang MedIm 14 46 0 27 Jul 2022
Universal Adaptive Data Augmentation Xiaogang Xu Hengshuang Zhao 14 5 0 14 Jul 2022
ReMix: A General and Efficient Framework for Multiple Instance Learning based Whole Slide Image Classification Jiawei Yang Hanbo Chen Yu Zhao Fan Yang Yao Zhang Lei He Jianhua Yao VLM 23 39 0 05 Jul 2022
Exploring Temporally Dynamic Data Augmentation for Video Recognition Taeoh Kim Jinhyung Kim Minho Shim Sangdoo Yun Myunggu Kang Dongyoon Wee Sangyoun Lee AI4TS 15 10 0 30 Jun 2022
Improving Diversity with Adversarially Learned Transformations for Domain Generalization Tejas Gokhale Rushil Anirudh Jayaraman J. Thiagarajan B. Kailkhura Chitta Baral Yezhou Yang 13 28 0 15 Jun 2022
A Survey of Automated Data Augmentation Algorithms for Deep Learning-based Image Classification Tasks Z. Yang Richard Sinnott James Bailey Qiuhong Ke 20 39 0 14 Jun 2022
A Comprehensive Survey of Image Augmentation Techniques for Deep Learning Mingle Xu Sook Yoon A. Fuentes D. Park VLM 22 396 0 03 May 2022
Self-Supervised Text Erasing with Controllable Image Synthesis Gangwei Jiang Shiyao Wang T. Ge Yuning Jiang Ying Wei Defu Lian DiffM 16 12 0 27 Apr 2022
Deeper Insights into the Robustness of ViTs towards Common Corruptions Rui Tian Zuxuan Wu Qi Dai Han Hu Yu-Gang Jiang ViT AAML 21 4 0 26 Apr 2022
Image quality assessment for machine learning tasks using meta-reinforcement learning Shaheer U. Saeed Yunguan Fu V. Stavrinides Zachary Michael Cieman Baum Qianye Yang ... Richard E. Fan G. Sonn J. A. Noble D. Barratt Yipeng Hu 21 36 0 27 Mar 2022
Self-supervised Learning of Adversarial Example: Towards Good Generalizations for Deepfake Detection Liang Chen Yong Zhang Yibing Song Lingqiao Liu Jue Wang AAML 33 196 0 23 Mar 2022
LAS-AT: Adversarial Training with Learnable Attack Strategy Xiaojun Jia Yong Zhang Baoyuan Wu Ke Ma Jue Wang Xiaochun Cao AAML 47 131 0 13 Mar 2022
Deep AutoAugment Yu Zheng Z. Zhang Shen Yan Mi Zhang ViT 15 26 0 11 Mar 2022
TeachAugment: Data Augmentation Optimization Using Teacher Knowledge Teppei Suzuki ViT 18 48 0 25 Feb 2022
Image quality assessment by overlapping task-specific and task-agnostic measures: application to prostate multiparametric MR images for cancer segmentation Shaheer U. Saeed Wen Yan Yunguan Fu F. Giganti Qianye Yang ... Richard E. Fan G. Sonn M. Emberton D. Barratt Yipeng Hu 34 8 0 20 Feb 2022
Rigidity Preserving Image Transformations and Equivariance in Perspective Lucas Brynte Georg Bökman Axel Flinth Fredrik Kahl 32 3 0 31 Jan 2022
SelectAugment: Hierarchical Deterministic Sample Selection for Data Augmentation Shiqi Lin Zhizheng Zhang Xin Li Wenjun Zeng Zhibo Chen 24 9 0 06 Dec 2021
Challenges of Adversarial Image Augmentations Arno Blaas Xavier Suau Jason Ramapuram N. Apostoloff Luca Zappella AAML 11 4 0 24 Nov 2021
Smart(Sampling)Augment: Optimal and Efficient Data Augmentation for Semantic Segmentation Misgana Negassi Diane Wagner A. Reiterer 14 13 0 31 Oct 2021
Improving Model Generalization by Agreement of Learned Representations from Data Augmentation Rowel Atienza ViT 17 9 0 20 Oct 2021
Augmenting Imitation Experience via Equivariant Representations Dhruv Sharma Ali Kuwajerwala Florian Shkurti 19 2 0 14 Oct 2021
DHA: End-to-End Joint Optimization of Data Augmentation Policy, Hyper-parameter and Architecture Kaichen Zhou Lanqing Hong Shuailiang Hu Fengwei Zhou Binxin Ru Jiashi Feng Zhenguo Li 54 10 0 13 Sep 2021
Semantic Perturbations with Normalizing Flows for Improved Generalization Oğuz Kaan Yüksel Sebastian U. Stich Martin Jaggi Tatjana Chavdarova AAML 26 10 0 18 Aug 2021
Data Efficient Human Intention Prediction: Leveraging Neural Network Verification and Expert Guidance Ruixuan Liu Changliu Liu AAML 19 1 0 16 Aug 2021
Enhancing MR Image Segmentation with Realistic Adversarial Data Augmentation C. L. P. Chen C. Qin C. Ouyang Zeju Li Shuo Wang Huaqi Qiu Liang Chen G. Tarroni Wenjia Bai Daniel Rueckert GAN MedIm 56 40 0 07 Aug 2021
An overview of mixing augmentation methods and augmentation strategies Dominik Lewy Jacek Mañdziuk 21 59 0 21 Jul 2021
Fine-Grained AutoAugmentation for Multi-Label Classification Y. Wang Hesen Chen Fangyi Zhang Yaohua Wang Xiuyu Sun Ming Lin Hao Li 16 2 0 12 Jul 2021
Collaboration of Experts: Achieving 80% Top-1 Accuracy on ImageNet with 100M FLOPs Yikang Zhang Zhuo Chen Zhaobai Zhong MoE 25 8 0 08 Jul 2021
SCARF: Self-Supervised Contrastive Learning using Random Feature Corruption Dara Bahri Heinrich Jiang Yi Tay Donald Metzler SSL 17 163 0 29 Jun 2021
Are conditional GANs explicitly conditional? Houssem-eddine Boulahbal A. Voicila Andrew I. Comport GAN 25 1 0 28 Jun 2021
Jitter: Random Jittering Loss Function Zhicheng Cai Chenglei Peng S. Du 11 3 0 25 Jun 2021
CADDA: Class-wise Automatic Differentiable Data Augmentation for EEG Signals Cédric Rommel Thomas Moreau Joseph Paillard Alexandre Gramfort 17 36 0 25 Jun 2021
ParticleAugment: Sampling-Based Data Augmentation Alexander Tsaregorodtsev Vasileios Belagiannis 19 2 0 16 Jun 2021
AutoSampling: Search for Effective Data Sampling Schedules Ming-hui Sun Hao Dou Baopu Li Lei Cui Junjie Yan Wanli Ouyang 31 6 0 28 May 2021
When Human Pose Estimation Meets Robustness: Adversarial Algorithms and Benchmarks Jiahang Wang Sheng Jin Wentao Liu Weizhong Liu Chao Qian Ping Luo AAML 11 56 0 13 May 2021
Direct Differentiable Augmentation Search Aoming Liu Zehao Huang Zhiwu Huang Naiyan Wang 25 32 0 09 Apr 2021
InAugment: Improving Classifiers via Internal Augmentation Moab Arar Ariel Shamir Amit H. Bermano 11 2 0 08 Apr 2021
Neural Transformation Learning for Deep Anomaly Detection Beyond Images Chen Qiu Timo Pfrommer Marius Kloft Stephan Mandt Maja R. Rudolph ViT AI4TS 6 120 0 30 Mar 2021
DivAug: Plug-in Automated Data Augmentation with Explicit Diversity Maximization Zirui Liu Haifeng Jin Ting-Hsiang Wang Kaixiong Zhou Xia Hu 16 23 0 26 Mar 2021
Robust and Accurate Object Detection via Adversarial Learning Xiangning Chen Cihang Xie Mingxing Tan Li Zhang Cho-Jui Hsieh Boqing Gong AAML 29 72 0 23 Mar 2021
Local Patch AutoAugment with Multi-Agent Collaboration Shiqi Lin Tao Yu Ruoyu Feng Xin Li Xin Jin Zhibo Chen 11 15 0 20 Mar 2021
TrivialAugment: Tuning-free Yet State-of-the-Art Data Augmentation Samuel G. Müller Frank Hutter ViT MQ 16 274 0 18 Mar 2021
AutoDO: Robust AutoAugment for Biased Data with Label Noise via Scalable Probabilistic Implicit Differentiation Denis A. Gudovskiy Luca Rigazio Shun Ishizaka Kazuki Kozuka Sotaro Tsukizawa NoLa 27 21 0 10 Mar 2021
Searching for Alignment in Face Recognition Xiaqing Xu Qiang Meng Yunxiao Qin Jianzhu Guo Chenxu Zhao Feng Zhou Zhen Lei CVBM 16 16 0 10 Feb 2021
Octave Mix: Data augmentation using frequency decomposition for activity recognition Tatsuhito Hasegawa 25 3 0 08 Jan 2021
Generative Interventions for Causal Learning Chengzhi Mao Augustine Cha Amogh Gupta Hongya Wang Junfeng Yang Carl Vondrick CML OOD 13 63 0 22 Dec 2020
MetaAugment: Sample-Aware Data Augmentation Policy Learning Fengwei Zhou Jiawei Li Chuanlong Xie Fei Chen Lanqing Hong Rui Sun Zhenguo Li 13 28 0 22 Dec 2020
ResizeMix: Mixing Data with Preserved Object Information and True Labels Jie Qin Jiemin Fang Qian Zhang Wenyu Liu Xingang Wang Xinggang Wang 20 81 0 21 Dec 2020
Joint Search of Data Augmentation Policies and Network Architectures Taiga Kashima Yoshihiro Yamada Shunta Saito 3DPC 14 5 0 17 Dec 2020