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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
PAUL: Uncertainty-Guided Partition and Augmentation for Robust Cross-View Geo-Localization under Noisy Correspondence Zheng Li Yanming Guo WenZhe Liu Xueyi Zhang Zhaoyun Ding Long Xu Mingrui Lao 81 0 0 27 Aug 2025
Robust Ensemble Person Re-Identification via Orthogonal Fusion with Occlusion Handling Syeda Nyma Ferdous Xin Li 241 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 235 26 0 31 Dec 2023
Betrayed by Attention: A Simple yet Effective Approach for Self-supervised Video Object SegmentationEuropean Conference on Computer Vision (ECCV), 2023 Shuangrui Ding Rui Qian Haohang Xu Dahua Lin Hongkai Xiong VOS 210 11 0 29 Nov 2023
Mx2M: Masked Cross-Modality Modeling in Domain Adaptation for 3D Semantic SegmentationAAAI Conference on Artificial Intelligence (AAAI), 2023 Boxiang Zhang Zunran Wang Yonggen Ling Yuanyuan Guan Shenghao Zhang Wenhui Li 155 9 0 09 Jul 2023
Joint Generative-Contrastive Representation Learning for Anomalous Sound DetectionIEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2023 Xiaoyan Zeng Yan Song Zhu Zhuo Yujie Zhou Yan Zhang Hui Xue Lirong Dai Ian Mcloughlin 184 21 0 20 May 2023
Efficient Masked Autoencoders with Self-ConsistencyIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2023 Zhaowen Li Yousong Zhu Zhiyang Chen Wei Li Honghui Dong Rui Zhao Ming Tang Jinqiao Wang 238 3 0 28 Feb 2023
Remote Sensing Scene Classification with Masked Image Modeling (MIM)Remote Sensing (RS), 2023 Liya Wang A. Tien 191 4 0 28 Feb 2023
Aerial Image Object Detection With Vision Transformer Detector (ViTDet)IEEE International Geoscience and Remote Sensing Symposium (IGARSS), 2023 Liya Wang A. Tien 350 16 0 28 Jan 2023
MaskingDepth: Masked Consistency Regularization for Semi-supervised Monocular Depth EstimationIEEE/RJS International Conference on Intelligent RObots and Systems (IROS), 2022 Jongbeom Baek Gyeongnyeon Kim Seonghoon Park Honggyu An Matteo Poggi Seung Wook Kim MDE 242 0 0 21 Dec 2022
Expanding Small-Scale Datasets with Guided ImaginationNeural Information Processing Systems (NeurIPS), 2022 Yifan Zhang Daquan Zhou Bryan Hooi Kaixin Wang Jiashi Feng 448 65 0 25 Nov 2022
Bayesian autoencoders for data-driven discovery of coordinates, governing equations and fundamental constantsProceedings of the Royal Society A (Proc. R. Soc. A), 2022 Liyao (Mars) Gao J. Nathan Kutz AI4CE 159 28 0 19 Nov 2022
Local Magnification for Data and Feature Augmentation Kun He Chang-rui Liu Stephen Lin John E. Hopcroft 154 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 165 91 0 30 Jul 2022
Masked Siamese Networks for Label-Efficient LearningEuropean Conference on Computer Vision (ECCV), 2022 Mahmoud Assran Mathilde Caron Ishan Misra Piotr Bojanowski Florian Bordes Pascal Vincent Armand Joulin Michael G. Rabbat Nicolas Ballas SSL 274 374 0 14 Apr 2022
Corrupted Image Modeling for Self-Supervised Visual Pre-TrainingInternational Conference on Learning Representations (ICLR), 2022 Yuxin Fang Li Dong Hangbo Bao Xinggang Wang Furu Wei 271 92 0 07 Feb 2022
Context Autoencoder for Self-Supervised Representation LearningInternational Journal of Computer Vision (IJCV), 2022 Xiaokang Chen Mingyu Ding Xiaodi Wang Ying Xin Shentong Mo Yunhao Wang Shumin Han Ping Luo Gang Zeng Jingdong Wang SSL 390 443 0 07 Feb 2022
A ConvNet for the 2020sComputer Vision and Pattern Recognition (CVPR), 2022 Zhuang Liu Hanzi Mao Chaozheng Wu Christoph Feichtenhofer Trevor Darrell Saining Xie ViT 534 6,728 0 10 Jan 2022
Masked Autoencoders Are Scalable Vision LearnersComputer Vision and Pattern Recognition (CVPR), 2021 Kaiming He Xinlei Chen Saining Xie Yanghao Li Piotr Dollár Ross B. Girshick ViT TPM 1.6K 9,824 0 11 Nov 2021
BEiT: BERT Pre-Training of Image Transformers Hangbo Bao Li Dong Songhao Piao Furu Wei ViT 768 3,332 0 15 Jun 2021
Emerging Properties in Self-Supervised Vision TransformersIEEE International Conference on Computer Vision (ICCV), 2021 Mathilde Caron Hugo Touvron Ishan Misra Edouard Grave Julien Mairal Piotr Bojanowski Armand Joulin 1.8K 7,708 0 29 Apr 2021
Training data-efficient image transformers & distillation through attentionInternational Conference on Machine Learning (ICML), 2020 Hugo Touvron Matthieu Cord Matthijs Douze Francisco Massa Alexandre Sablayrolles Edouard Grave ViT 569 8,116 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 1.3K 53,751 0 22 Oct 2020
Puzzle Mix: Exploiting Saliency and Local Statistics for Optimal MixupInternational Conference on Machine Learning (ICML), 2020 Jang-Hyun Kim Wonho Choo Hyun Oh Song AAML 315 436 0 15 Sep 2020
SaliencyMix: A Saliency Guided Data Augmentation Strategy for Better RegularizationInternational Conference on Learning Representations (ICLR), 2020 A. Uddin Sirazam Monira Wheemyung Shin TaeChoong Chung Sung-Ho Bae 387 255 0 02 Jun 2020
DADA: Differentiable Automatic Data AugmentationEuropean Conference on Computer Vision (ECCV), 2020 Yonggang Li Guosheng Hu Yongtao Wang Timothy M. Hospedales N. Robertson Yongxin Yang 290 116 0 08 Mar 2020
Decision-Making with Auto-Encoding Variational BayesNeural Information Processing Systems (NeurIPS), 2020 Romain Lopez Pierre Boyeau Nir Yosef Michael I. Jordan Jeffrey Regier BDL 1.4K 19,430 0 17 Feb 2020
FixMatch: Simplifying Semi-Supervised Learning with Consistency and ConfidenceNeural Information Processing Systems (NeurIPS), 2020 Kihyuk Sohn David Berthelot Chun-Liang Li Zizhao Zhang Nicholas Carlini E. D. Cubuk Alexey Kurakin Han Zhang Colin Raffel AAML 407 4,175 0 21 Jan 2020
Faster AutoAugment: Learning Augmentation Strategies using BackpropagationEuropean Conference on Computer Vision (ECCV), 2019 Ryuichiro Hataya Jan Zdenek Kazuki Yoshizoe Hideki Nakayama 204 226 0 16 Nov 2019
Decoupling Representation and Classifier for Long-Tailed RecognitionInternational Conference on Learning Representations (ICLR), 2019 Bingyi Kang Saining Xie Marcus Rohrbach Zhicheng Yan Albert Gordo Jiashi Feng Yannis Kalantidis OODD 484 1,377 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 983 3,906 0 30 Sep 2019
CutMix: Regularization Strategy to Train Strong Classifiers with Localizable FeaturesIEEE International Conference on Computer Vision (ICCV), 2019 Sangdoo Yun Dongyoon Han Seong Joon Oh Sanghyuk Chun Junsuk Choe Y. Yoo OOD 1.5K 5,460 0 13 May 2019
MixMatch: A Holistic Approach to Semi-Supervised LearningNeural Information Processing Systems (NeurIPS), 2019 David Berthelot Nicholas Carlini Ian Goodfellow Nicolas Papernot Avital Oliver Colin Raffel 478 3,318 0 06 May 2019
Fast AutoAugmentNeural Information Processing Systems (NeurIPS), 2019 Sungbin Lim Ildoo Kim Taesup Kim Chiheon Kim Sungwoong Kim 292 641 0 01 May 2019
Unsupervised Data Augmentation for Consistency TrainingNeural Information Processing Systems (NeurIPS), 2019 Qizhe Xie Zihang Dai Eduard H. Hovy Minh-Thang Luong Quoc V. Le 662 2,519 0 29 Apr 2019
A Closer Look at Few-shot Classification Wei-Yu Chen Yen-Cheng Liu Z. Kira Y. Wang Jia-Bin Huang 372 1,907 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 169 213 0 14 Jan 2019
ProxylessNAS: Direct Neural Architecture Search on Target Task and Hardware Han Cai Ligeng Zhu Song Han 476 1,982 0 02 Dec 2018
Generative Adversarial Network in Medical Imaging: A Review Xin Yi Ekta Walia P. Babyn GAN MedIm 399 1,515 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 456 376 0 12 Jun 2018
Unsupervised Representation Learning by Predicting Image Rotations Spyros Gidaris Praveer Singh N. Komodakis OOD SSL DRL 811 3,492 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 208 1,704 0 03 Mar 2018
Learning to Compare: Relation Network for Few-Shot Learning Flood Sung Yongxin Yang Li Zhang Tao Xiang Juil Sock Timothy M. Hospedales 802 4,428 0 16 Nov 2017
Data Augmentation Generative Adversarial Networks Antreas Antoniou Amos Storkey Harrison Edwards MedIm GAN 353 1,137 0 12 Nov 2017
mixup: Beyond Empirical Risk MinimizationInternational Conference on Learning Representations (ICLR), 2017 Hongyi Zhang Moustapha Cissé Yann N. Dauphin David Lopez-Paz NoLa 646 10,990 0 25 Oct 2017
Random Erasing Data Augmentation Zhun Zhong Liang Zheng Guoliang Kang Shaozi Li Yi Yang 353 3,934 0 16 Aug 2017
Improved Regularization of Convolutional Neural Networks with Cutout Terrance Devries Graham W. Taylor 551 4,091 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 381 2,924 0 13 Apr 2017
Prototypical Networks for Few-shot Learning Jake C. Snell Kevin Swersky R. Zemel 567 9,153 0 15 Mar 2017
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn Pieter Abbeel Sergey Levine OOD 1.6K 13,316 0 09 Mar 2017