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
EventDrop: data augmentation for event-based learning Fuqiang Gu Weicong Sng Xuke Hu Fei Yu 20 37 0 07 Jun 2021
Antipodes of Label Differential Privacy: PATE and ALIBI Mani Malek Ilya Mironov Karthik Prasad I. Shilov Florian Tramèr 8 62 0 07 Jun 2021
RegMix: Data Mixing Augmentation for Regression Seonghyeon Hwang Steven Euijong Whang UQCV 15 7 0 07 Jun 2021
CAPE: Encoding Relative Positions with Continuous Augmented Positional Embeddings Tatiana Likhomanenko Qiantong Xu Gabriel Synnaeve R. Collobert A. Rogozhnikov OOD ViT 25 54 0 06 Jun 2021
RegionViT: Regional-to-Local Attention for Vision Transformers Chun-Fu Chen Rameswar Panda Quanfu Fan ViT 16 194 0 04 Jun 2021
CATs: Cost Aggregation Transformers for Visual Correspondence Seokju Cho Sunghwan Hong Sangryul Jeon Yunsung Lee K. Sohn Seungryong Kim ViT 24 86 0 04 Jun 2021
Glance-and-Gaze Vision Transformer Qihang Yu Yingda Xia Yutong Bai Yongyi Lu Alan Yuille Wei Shen ViT 18 74 0 04 Jun 2021
When Vision Transformers Outperform ResNets without Pre-training or Strong Data Augmentations Xiangning Chen Cho-Jui Hsieh Boqing Gong ViT 24 320 0 03 Jun 2021
SemiFL: Semi-Supervised Federated Learning for Unlabeled Clients with Alternate Training Enmao Diao Jie Ding Vahid Tarokh FedML 14 73 0 02 Jun 2021
Tips and Tricks to Improve CNN-based Chest X-ray Diagnosis: A Survey Changhee Han Takayuki Okamoto Koichi Takeuchi Dimitris Katsios Andrey Grushnikov Masaaki Kobayashi Antoine Choppin Yuta Kurashina Yuki Shimahara 14 2 0 02 Jun 2021
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 17 316 0 01 Jun 2021
Robust Mutual Learning for Semi-supervised Semantic Segmentation Pan Zhang Bo Zhang Ting Zhang Dong Chen Fang Wen 23 17 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 24 3 0 01 Jun 2021
Semi-supervised Models are Strong Unsupervised Domain Adaptation Learners Yabin Zhang Haojian Zhang Bin Deng Shuai Li K. Jia Lei Zhang 20 25 0 01 Jun 2021
Rethinking Pseudo Labels for Semi-Supervised Object Detection Hengduo Li Zuxuan Wu Abhinav Shrivastava Larry S. Davis 14 78 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 22 23 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 25 189 0 31 May 2021
OpenMatch: Open-set Consistency Regularization for Semi-supervised Learning with Outliers Kuniaki Saito Donghyun Kim Kate Saenko 24 63 0 28 May 2021
ResT: An Efficient Transformer for Visual Recognition Qing-Long Zhang Yubin Yang ViT 29 229 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 18 570 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 18 31 0 27 May 2021
Nested Hierarchical Transformer: Towards Accurate, Data-Efficient and Interpretable Visual Understanding Zizhao Zhang Han Zhang Long Zhao Ting Chen Sercan Ö. Arik Tomas Pfister ViT 17 169 0 26 May 2021
Vision Transformer for Fast and Efficient Scene Text Recognition Rowel Atienza ViT 17 144 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 15 186 0 17 May 2021
Vision Transformers are Robust Learners Sayak Paul Pin-Yu Chen ViT 17 305 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 12 60 0 16 May 2021
Adaptive Test-Time Augmentation for Low-Power CPU Luca Mocerino R. G. Rizzo Valentino Peluso A. Calimera Enrico Macii TTA 17 4 0 13 May 2021
Segmenter: Transformer for Semantic Segmentation Robin Strudel Ricardo Garcia Pinel Ivan Laptev Cordelia Schmid ViT 44 1,425 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 V. Oseledets 11 5 0 12 May 2021
Generalized Jensen-Shannon Divergence Loss for Learning with Noisy Labels Erik Englesson Hossein Azizpour NoLa 28 103 0 10 May 2021
TextAdaIN: Paying Attention to Shortcut Learning in Text Recognizers Oren Nuriel Sharon Fogel Ron Litman 19 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 13 527 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 21 655 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 37 799 0 07 May 2021
MiCE: Mixture of Contrastive Experts for Unsupervised Image Clustering Tsung Wei Tsai Chongxuan Li Jun Zhu 13 58 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 271 2,603 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 29 113 0 29 Apr 2021
Generalization Guarantees for Neural Architecture Search with Train-Validation Split Samet Oymak Mingchen Li Mahdi Soltanolkotabi AI4CE OOD 31 13 0 29 Apr 2021
Vision Transformers with Patch Diversification Chengyue Gong Dilin Wang Meng Li Vikas Chandra Qiang Liu ViT 37 62 0 26 Apr 2021
Visformer: The Vision-friendly Transformer Zhengsu Chen Lingxi Xie Jianwei Niu Xuefeng Liu Longhui Wei Qi Tian ViT 120 209 0 26 Apr 2021
Width Transfer: On the (In)variance of Width Optimization Ting-Wu Chin Diana Marculescu Ari S. Morcos 13 3 0 24 Apr 2021
Multiscale Vision Transformers Haoqi Fan Bo Xiong K. Mangalam Yanghao Li Zhicheng Yan Jitendra Malik Christoph Feichtenhofer ViT 54 1,222 0 22 Apr 2021
ImageNet-21K Pretraining for the Masses T. Ridnik Emanuel Ben-Baruch Asaf Noy Lihi Zelnik-Manor SSeg VLM CLIP 179 686 0 22 Apr 2021
SoT: Delving Deeper into Classification Head for Transformer Jiangtao Xie Rui Zeng Qilong Wang Ziqi Zhou P. Li ViT 26 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 14 203 0 22 Apr 2021
Towards Corruption-Agnostic Robust Domain Adaptation Yifan Xu Kekai Sheng Weiming Dong Baoyuan Wu Changsheng Xu Bao-Gang Hu 42 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 44 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 21 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 21 1 0 19 Apr 2021
Cross-Domain Adaptive Clustering for Semi-Supervised Domain Adaptation Jichang Li Guanbin Li Yemin Shi Yizhou Yu 66 120 0 19 Apr 2021