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Masked Autoencoders are Robust Data Augmentors

10 June 2022

Papers citing "Masked Autoencoders are Robust Data Augmentors"

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Title
Robust Ensemble Person Re-Identification via Orthogonal Fusion with Occlusion Handling Syeda Nyma Ferdous Xin Li 94 0 0 29 Mar 2024
Masked Modeling for Self-supervised Representation Learning on Vision and Beyond Siyuan Li Luyuan Zhang Zedong Wang Di Wu Lirong Wu ... Jun Xia Cheng Tan Yang Liu Baigui Sun Stan Z. Li SSL 105 15 0 31 Dec 2023
Betrayed by Attention: A Simple yet Effective Approach for Self-supervised Video Object Segmentation Shuangrui Ding Rui Qian Haohang Xu Dahua Lin Hongkai Xiong VOS 102 5 0 29 Nov 2023
Mx2M: Masked Cross-Modality Modeling in Domain Adaptation for 3D Semantic Segmentation Boxiang Zhang Zunran Wang Yonggen Ling Yuanyuan Guan Shenghao Zhang Wenhui Li 71 6 0 09 Jul 2023
Joint Generative-Contrastive Representation Learning for Anomalous Sound Detection Xiaoyan Zeng Yan Song Zhu Zhuo Yujie Zhou Yu-Hong Li Hui Xue Lirong Dai Ian Mcloughlin 70 13 0 20 May 2023
Efficient Masked Autoencoders with Self-Consistency Zhaowen Li Yousong Zhu Zhiyang Chen Wei Li Chaoyang Zhao Rui Zhao Ming Tang Jinqiao Wang 126 2 0 28 Feb 2023
Remote Sensing Scene Classification with Masked Image Modeling (MIM) Liya Wang A. Tien 91 3 0 28 Feb 2023
Aerial Image Object Detection With Vision Transformer Detector (ViTDet) Liya Wang A. Tien 131 9 0 28 Jan 2023
MaskingDepth: Masked Consistency Regularization for Semi-supervised Monocular Depth Estimation Jongbeom Baek Gyeongnyeon Kim Seonghoon Park Honggyu An Matteo Poggi Seung Wook Kim MDE 103 0 0 21 Dec 2022
Expanding Small-Scale Datasets with Guided Imagination Yifan Zhang Daquan Zhou Bryan Hooi Kaixin Wang Jiashi Feng 171 48 0 25 Nov 2022
Bayesian autoencoders for data-driven discovery of coordinates, governing equations and fundamental constants Liyao (Mars) Gao J. Nathan Kutz AI4CE 86 22 0 19 Nov 2022
Local Magnification for Data and Feature Augmentation Kun He Chang-rui Liu Stephen Lin John E. Hopcroft 57 2 0 15 Nov 2022
A Survey on Masked Autoencoder for Self-supervised Learning in Vision and Beyond Chaoning Zhang Chenshuang Zhang Junha Song John Seon Keun Yi Kang Zhang In So Kweon SSL 96 77 0 30 Jul 2022
Masked Siamese Networks for Label-Efficient Learning Mahmoud Assran Mathilde Caron Ishan Misra Piotr Bojanowski Florian Bordes Pascal Vincent Armand Joulin Michael G. Rabbat Nicolas Ballas SSL 131 325 0 14 Apr 2022
Corrupted Image Modeling for Self-Supervised Visual Pre-Training Yuxin Fang Li Dong Hangbo Bao Xinggang Wang Furu Wei 95 88 0 07 Feb 2022
Context Autoencoder for Self-Supervised Representation Learning Xiaokang Chen Mingyu Ding Xiaodi Wang Ying Xin Shentong Mo Yunhao Wang Shumin Han Ping Luo Gang Zeng Jingdong Wang SSL 171 400 0 07 Feb 2022
A ConvNet for the 2020s Zhuang Liu Hanzi Mao Chaozheng Wu Christoph Feichtenhofer Trevor Darrell Saining Xie ViT 202 5,261 0 10 Jan 2022
Masked Autoencoders Are Scalable Vision Learners Kaiming He Xinlei Chen Saining Xie Yanghao Li Piotr Dollár Ross B. Girshick ViT TPM 493 7,864 0 11 Nov 2021
BEiT: BERT Pre-Training of Image Transformers Hangbo Bao Li Dong Songhao Piao Furu Wei ViT 316 2,852 0 15 Jun 2021
Emerging Properties in Self-Supervised Vision Transformers Mathilde Caron Hugo Touvron Ishan Misra Hervé Jégou Julien Mairal Piotr Bojanowski Armand Joulin 777 6,149 0 29 Apr 2021
Training data-efficient image transformers & distillation through attention Hugo Touvron Matthieu Cord Matthijs Douze Francisco Massa Alexandre Sablayrolles Hervé Jégou ViT 397 6,843 0 23 Dec 2020
An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale Alexey Dosovitskiy Lucas Beyer Alexander Kolesnikov Dirk Weissenborn Xiaohua Zhai ... Matthias Minderer G. Heigold Sylvain Gelly Jakob Uszkoreit N. Houlsby ViT 716 41,795 0 22 Oct 2020
Puzzle Mix: Exploiting Saliency and Local Statistics for Optimal Mixup Jang-Hyun Kim Wonho Choo Hyun Oh Song AAML 115 391 0 15 Sep 2020
SaliencyMix: A Saliency Guided Data Augmentation Strategy for Better Regularization A. Uddin Sirazam Monira Wheemyung Shin TaeChoong Chung Sung-Ho Bae 101 229 0 02 Jun 2020
DADA: Differentiable Automatic Data Augmentation Yonggang Li Guosheng Hu Yongtao Wang Timothy M. Hospedales N. Robertson Yongxin Yang 90 110 0 08 Mar 2020
Decision-Making with Auto-Encoding Variational Bayes Romain Lopez Pierre Boyeau Nir Yosef Michael I. Jordan Jeffrey Regier BDL 653 10,591 0 17 Feb 2020
FixMatch: Simplifying Semi-Supervised Learning with Consistency and Confidence Kihyuk Sohn David Berthelot Chun-Liang Li Zizhao Zhang Nicholas Carlini E. D. Cubuk Alexey Kurakin Han Zhang Colin Raffel AAML 165 3,595 0 21 Jan 2020
Faster AutoAugment: Learning Augmentation Strategies using Backpropagation Ryuichiro Hataya Jan Zdenek Kazuki Yoshizoe Hideki Nakayama 77 208 0 16 Nov 2019
Decoupling Representation and Classifier for Long-Tailed Recognition Bingyi Kang Saining Xie Marcus Rohrbach Zhicheng Yan Albert Gordo Jiashi Feng Yannis Kalantidis OODD 182 1,224 0 21 Oct 2019
RandAugment: Practical automated data augmentation with a reduced search space E. D. Cubuk Barret Zoph Jonathon Shlens Quoc V. Le MQ 334 3,516 0 30 Sep 2019
CutMix: Regularization Strategy to Train Strong Classifiers with Localizable Features Sangdoo Yun Dongyoon Han Seong Joon Oh Sanghyuk Chun Junsuk Choe Y. Yoo OOD 635 4,824 0 13 May 2019
MixMatch: A Holistic Approach to Semi-Supervised Learning David Berthelot Nicholas Carlini Ian Goodfellow Nicolas Papernot Avital Oliver Colin Raffel 197 3,042 0 06 May 2019
Fast AutoAugment Sungbin Lim Ildoo Kim Taesup Kim Chiheon Kim Sungwoong Kim 118 601 0 01 May 2019
Unsupervised Data Augmentation for Consistency Training Qizhe Xie Zihang Dai Eduard H. Hovy Minh-Thang Luong Quoc V. Le 148 2,330 0 29 Apr 2019
A Closer Look at Few-shot Classification Wei-Yu Chen Yen-Cheng Liu Z. Kira Y. Wang Jia-Bin Huang 116 1,770 0 08 Apr 2019
AET vs. AED: Unsupervised Representation Learning by Auto-Encoding Transformations rather than Data Liheng Zhang Guo-Jun Qi Liqiang Wang Jiebo Luo 64 204 0 14 Jan 2019
ProxylessNAS: Direct Neural Architecture Search on Target Task and Hardware Han Cai Ligeng Zhu Song Han 116 1,878 0 02 Dec 2018
Generative Adversarial Network in Medical Imaging: A Review Xin Yi Ekta Walia P. Babyn GAN MedIm 137 1,402 0 19 Sep 2018
Delta-encoder: an effective sample synthesis method for few-shot object recognition Eli Schwartz Leonid Karlinsky J. Shtok Sivan Harary Mattias Marder Rogerio Feris Abhishek Kumar Raja Giryes A. Bronstein 255 357 0 12 Jun 2018
Unsupervised Representation Learning by Predicting Image Rotations Spyros Gidaris Praveer Singh N. Komodakis OOD SSL DRL 275 3,304 0 21 Mar 2018
GAN-based Synthetic Medical Image Augmentation for increased CNN Performance in Liver Lesion Classification Maayan Frid-Adar I. Diamant Eyal Klang Michal Amitai Jacob Goldberger H. Greenspan GAN MedIm 92 1,572 0 03 Mar 2018
Learning to Compare: Relation Network for Few-Shot Learning Flood Sung Yongxin Yang Li Zhang Tao Xiang Philip Torr Timothy M. Hospedales 350 4,063 0 16 Nov 2017
Data Augmentation Generative Adversarial Networks Antreas Antoniou Amos Storkey Harrison Edwards MedIm GAN 151 1,076 0 12 Nov 2017
mixup: Beyond Empirical Risk Minimization Hongyi Zhang Moustapha Cissé Yann N. Dauphin David Lopez-Paz NoLa 320 9,825 0 25 Oct 2017
Random Erasing Data Augmentation Zhun Zhong Liang Zheng Guoliang Kang Shaozi Li Yi Yang 118 3,660 0 16 Aug 2017
Improved Regularization of Convolutional Neural Networks with Cutout Terrance Devries Graham W. Taylor 152 3,782 0 15 Aug 2017
Virtual Adversarial Training: A Regularization Method for Supervised and Semi-Supervised Learning Takeru Miyato S. Maeda Masanori Koyama S. Ishii GAN 153 2,747 0 13 Apr 2017
Prototypical Networks for Few-shot Learning Jake C. Snell Kevin Swersky R. Zemel 309 8,182 0 15 Mar 2017
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn Pieter Abbeel Sergey Levine OOD 853 11,995 0 09 Mar 2017
Image-to-Image Translation with Conditional Adversarial Networks Phillip Isola Jun-Yan Zhu Tinghui Zhou Alexei A. Efros SSeg 359 19,731 0 21 Nov 2016