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RandAugment: Practical automated data augmentation with a reduced search space

30 September 2019

Papers citing "RandAugment: Practical automated data augmentation with a reduced search space"

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Title
You Only Look at One Sequence: Rethinking Transformer in Vision through Object Detection Yuxin Fang Bencheng Liao Xinggang Wang Jiemin Fang Jiyang Qi Rui Wu Jianwei Niu Wenyu Liu ViT 73 326 0 01 Jun 2021
Robust Mutual Learning for Semi-supervised Semantic Segmentation Pan Zhang Bo Zhang Ting Zhang Dong Chen Fang Wen 104 18 0 01 Jun 2021
Exploring the Diversity and Invariance in Yourself for Visual Pre-Training Task Longhui Wei Lingxi Xie Wen-gang Zhou Houqiang Li Qi Tian SSL 72 3 0 01 Jun 2021
Semi-supervised Models are Strong Unsupervised Domain Adaptation Learners Yabin Zhang Haojian Zhang Bin Deng Shuai Li Kui Jia Lei Zhang 71 25 0 01 Jun 2021
Rethinking Pseudo Labels for Semi-Supervised Object Detection Hengduo Li Zuxuan Wu Abhinav Shrivastava Larry S. Davis 92 81 0 01 Jun 2021
Effect of Pre-Training Scale on Intra- and Inter-Domain Full and Few-Shot Transfer Learning for Natural and Medical X-Ray Chest Images Mehdi Cherti J. Jitsev LM&MA 94 24 0 31 May 2021
Not All Images are Worth 16x16 Words: Dynamic Transformers for Efficient Image Recognition Yulin Wang Rui Huang S. Song Zeyi Huang Gao Huang ViT 98 194 0 31 May 2021
OpenMatch: Open-set Consistency Regularization for Semi-supervised Learning with Outliers Kuniaki Saito Donghyun Kim Kate Saenko 62 66 0 28 May 2021
ResT: An Efficient Transformer for Visual Recognition Qing-Long Zhang Yubin Yang ViT 83 235 0 28 May 2021
Recent advances and clinical applications of deep learning in medical image analysis Xuxin Chen Ximing Wang Kecheng Zhang K. Fung T. Thai K. Moore Robert S. Mannel Hong Liu B. Zheng Y. Qiu OOD 136 611 0 27 May 2021
Drawing Multiple Augmentation Samples Per Image During Training Efficiently Decreases Test Error Stanislav Fort Andrew Brock Razvan Pascanu Soham De Samuel L. Smith 64 32 0 27 May 2021
Nested Hierarchical Transformer: Towards Accurate, Data-Efficient and Interpretable Visual Understanding Zizhao Zhang Han Zhang Long Zhao Ting Chen Sercan O. Arik Tomas Pfister ViT 96 174 0 26 May 2021
Vision Transformer for Fast and Efficient Scene Text Recognition Rowel Atienza ViT 90 148 0 18 May 2021
Towards Robust Vision Transformer Xiaofeng Mao Gege Qi YueFeng Chen Xiaodan Li Ranjie Duan Shaokai Ye Yuan He Hui Xue ViT 75 195 0 17 May 2021
Vision Transformers are Robust Learners Sayak Paul Pin-Yu Chen ViT 77 312 0 17 May 2021
Semi-supervised Contrastive Learning with Similarity Co-calibration Yuhang Zhang Xiaopeng Zhang Robert C. Qiu Jie Li Haohang Xu Qi Tian SSL 49 61 0 16 May 2021
Adaptive Test-Time Augmentation for Low-Power CPU Luca Mocerino R. G. Rizzo Valentino Peluso A. Calimera Enrico Macii TTA 65 4 0 13 May 2021
Segmenter: Transformer for Semantic Segmentation Robin Strudel Ricardo Garcia Pinel Ivan Laptev Cordelia Schmid ViT 249 1,477 0 12 May 2021
Object-Based Augmentation Improves Quality of Remote Sensing Semantic Segmentation S. Illarionova S. Nesteruk Dmitrii G. Shadrin V. Ignatiev M. Pukalchik Ivan Oseledets 38 5 0 12 May 2021
Generalized Jensen-Shannon Divergence Loss for Learning with Noisy Labels Erik Englesson Hossein Azizpour NoLa 83 107 0 10 May 2021
TextAdaIN: Paying Attention to Shortcut Learning in Text Recognizers Oren Nuriel Sharon Fogel Ron Litman 50 9 0 09 May 2021
Conformer: Local Features Coupling Global Representations for Visual Recognition Zhiliang Peng Wei Huang Shanzhi Gu Lingxi Xie Yaowei Wang Jianbin Jiao QiXiang Ye ViT 75 550 0 09 May 2021
ResMLP: Feedforward networks for image classification with data-efficient training Hugo Touvron Piotr Bojanowski Mathilde Caron Matthieu Cord Alaaeldin El-Nouby ... Gautier Izacard Armand Joulin Gabriel Synnaeve Jakob Verbeek Hervé Jégou VLM 84 673 0 07 May 2021
A Survey of Data Augmentation Approaches for NLP Steven Y. Feng Varun Gangal Jason W. Wei Sarath Chandar Soroush Vosoughi Teruko Mitamura Eduard H. Hovy AIMat 119 829 0 07 May 2021
MiCE: Mixture of Contrastive Experts for Unsupervised Image Clustering Tsung Wei Tsai Chongxuan Li Jun Zhu 65 61 0 05 May 2021
MLP-Mixer: An all-MLP Architecture for Vision Ilya O. Tolstikhin N. Houlsby Alexander Kolesnikov Lucas Beyer Xiaohua Zhai ... Andreas Steiner Daniel Keysers Jakob Uszkoreit Mario Lucic Alexey Dosovitskiy 518 2,715 0 04 May 2021
AutoFlow: Learning a Better Training Set for Optical Flow Deqing Sun Daniel Vlasic Charles Herrmann Varun Jampani Michael Krainin Huiwen Chang Ramin Zabih William T. Freeman Ce Liu 3DPC 94 118 0 29 Apr 2021
Generalization Guarantees for Neural Architecture Search with Train-Validation Split Samet Oymak Mingchen Li Mahdi Soltanolkotabi AI4CE OOD 77 15 0 29 Apr 2021
Vision Transformers with Patch Diversification Chengyue Gong Dilin Wang Meng Li Vikas Chandra Qiang Liu ViT 90 64 0 26 Apr 2021
Visformer: The Vision-friendly Transformer Zhengsu Chen Lingxi Xie Jianwei Niu Xuefeng Liu Longhui Wei Qi Tian ViT 209 223 0 26 Apr 2021
Width Transfer: On the (In)variance of Width Optimization Ting-Wu Chin Diana Marculescu Ari S. Morcos 45 3 0 24 Apr 2021
Multiscale Vision Transformers Haoqi Fan Bo Xiong K. Mangalam Yanghao Li Zhicheng Yan Jitendra Malik Christoph Feichtenhofer ViT 137 1,272 0 22 Apr 2021
ImageNet-21K Pretraining for the Masses T. Ridnik Emanuel Ben-Baruch Asaf Noy Lihi Zelnik-Manor SSeg VLM CLIP 345 717 0 22 Apr 2021
SoT: Delving Deeper into Classification Head for Transformer Jiangtao Xie Rui Zeng Qilong Wang Ziqi Zhou P. Li ViT 86 12 0 22 Apr 2021
All Tokens Matter: Token Labeling for Training Better Vision Transformers Zihang Jiang Qibin Hou Li-xin Yuan Daquan Zhou Yujun Shi Xiaojie Jin Anran Wang Jiashi Feng ViT 137 210 0 22 Apr 2021
Towards Corruption-Agnostic Robust Domain Adaptation Yifan Xu Kekai Sheng Weiming Dong Baoyuan Wu Changsheng Xu Bao-Gang Hu 86 8 0 21 Apr 2021
Auto-FedAvg: Learnable Federated Averaging for Multi-Institutional Medical Image Segmentation Yingda Xia Dong Yang Wenqi Li Andriy Myronenko Daguang Xu ... Elvira Stellato G. Carrafiello A. Ierardi Alan Yuille H. Roth OOD FedML 106 46 0 20 Apr 2021
Does enhanced shape bias improve neural network robustness to common corruptions? Chaithanya Kumar Mummadi Ranjitha Subramaniam Robin Hutmacher Julien Vitay Volker Fischer J. H. Metzen 107 40 0 20 Apr 2021
Epsilon Consistent Mixup: Structural Regularization with an Adaptive Consistency-Interpolation Tradeoff Vincent Pisztora Yanglan Ou Xiaolei Huang Francesca Chiaromonte Jia Li 42 1 0 19 Apr 2021
Cross-Domain Adaptive Clustering for Semi-Supervised Domain Adaptation Jichang Li Guanbin Li Yemin Shi Yizhou Yu 134 120 0 19 Apr 2021
Filtering Empty Camera Trap Images in Embedded Systems Fagner Cunha E. M. Santos R. Barreto J. Colonna 73 14 0 18 Apr 2021
Higher Order Recurrent Space-Time Transformer for Video Action Prediction Tsung-Ming Tai G. Fiameni Cheng-Kuang Lee Oswald Lanz 66 9 0 17 Apr 2021
Vision Transformer Pruning Mingjian Zhu Yehui Tang Kai Han ViT 95 92 0 17 Apr 2021
Contrastive Learning with Stronger Augmentations Tianlin Li Guo-Jun Qi CLL 141 227 0 15 Apr 2021
A Simple Baseline for Semi-supervised Semantic Segmentation with Strong Data Augmentation Jianlong Yuan Yifan Liu Chunhua Shen Zhibin Wang Hao Li 57 112 0 15 Apr 2021
Escaping the Big Data Paradigm with Compact Transformers Ali Hassani Steven Walton Nikhil Shah Abulikemu Abuduweili Jiachen Li Humphrey Shi 152 464 0 12 Apr 2021
All Labels Are Not Created Equal: Enhancing Semi-supervision via Label Grouping and Co-training Islam Nassar Samitha Herath Ehsan Abbasnejad Wray Buntine Gholamreza Haffari VLM 62 56 0 12 Apr 2021
Direct Differentiable Augmentation Search Aoming Liu Zehao Huang Zhiwu Huang Naiyan Wang 102 34 0 09 Apr 2021
Robust Training of Social Media Image Classification Models for Rapid Disaster Response Firoj Alam Tanvirul Alam Muhammad Imran Ferda Ofli OOD VLM 71 14 0 09 Apr 2021
InAugment: Improving Classifiers via Internal Augmentation Moab Arar Ariel Shamir Amit H. Bermano 19 2 0 08 Apr 2021