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
Taxonomy of Machine Learning Safety: A Survey and Primer Sina Mohseni Haotao Wang Zhiding Yu Chaowei Xiao Zhangyang Wang J. Yadawa 26 31 0 09 Jun 2021
CoAtNet: Marrying Convolution and Attention for All Data Sizes Zihang Dai Hanxiao Liu Quoc V. Le Mingxing Tan ViT 49 1,172 0 09 Jun 2021
Self-Supervised Learning with Data Augmentations Provably Isolates Content from Style Julius von Kügelgen Yash Sharma Luigi Gresele Wieland Brendel Bernhard Schölkopf M. Besserve Francesco Locatello 30 303 0 08 Jun 2021
Data-Efficient Instance Generation from Instance Discrimination Ceyuan Yang Yujun Shen Yinghao Xu Bolei Zhou 33 83 0 08 Jun 2021
LaplaceNet: A Hybrid Graph-Energy Neural Network for Deep Semi-Supervised Classification P. Sellars Angelica I. Aviles-Rivero Carola-Bibiane Schönlieb 31 8 0 08 Jun 2021
On the Connection between Local Attention and Dynamic Depth-wise Convolution Qi Han Zejia Fan Qi Dai Lei-huan Sun Ming-Ming Cheng Jiaying Liu Jingdong Wang ViT 29 105 0 08 Jun 2021
A Lightweight and Gradient-Stable Neural Layer Yueyao Yu Yin Zhang 29 0 0 08 Jun 2021
Shifting Transformation Learning for Out-of-Distribution Detection Sina Mohseni Arash Vahdat J. Yadawa OODD 30 7 0 07 Jun 2021
EventDrop: data augmentation for event-based learning Fuqiang Gu Weicong Sng Xuke Hu Fei Yu 24 37 0 07 Jun 2021
Antipodes of Label Differential Privacy: PATE and ALIBI Mani Malek Ilya Mironov Karthik Prasad I. Shilov Florian Tramèr 16 62 0 07 Jun 2021
RegMix: Data Mixing Augmentation for Regression Seonghyeon Hwang Steven Euijong Whang UQCV 23 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 33 55 0 06 Jun 2021
RegionViT: Regional-to-Local Attention for Vision Transformers Chun-Fu Chen Yikang Shen Quanfu Fan ViT 27 195 0 04 Jun 2021
CATs: Cost Aggregation Transformers for Visual Correspondence Seokju Cho Sunghwan Hong Sangryul Jeon Yunsung Lee Kwanghoon Sohn Seungryong Kim ViT 26 86 0 04 Jun 2021
Glance-and-Gaze Vision Transformer Qihang Yu Yingda Xia Yutong Bai Yongyi Lu Alan Yuille Wei Shen ViT 33 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 35 320 0 03 Jun 2021
SemiFL: Semi-Supervised Federated Learning for Unlabeled Clients with Alternate Training Enmao Diao Jie Ding Vahid Tarokh FedML 24 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 16 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 25 316 0 01 Jun 2021
Robust Mutual Learning for Semi-supervised Semantic Segmentation Pan Zhang Bo Zhang Ting Zhang Dong Chen Fang Wen 31 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 27 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 26 25 0 01 Jun 2021
Rethinking Pseudo Labels for Semi-Supervised Object Detection Hengduo Li Zuxuan Wu Abhinav Shrivastava Larry S. Davis 16 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 24 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 33 189 0 31 May 2021
OpenMatch: Open-set Consistency Regularization for Semi-supervised Learning with Outliers Kuniaki Saito Donghyun Kim Kate Saenko 34 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 18 574 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 31 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 25 169 0 26 May 2021
Vision Transformer for Fast and Efficient Scene Text Recognition Rowel Atienza ViT 25 144 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 23 187 0 17 May 2021
Vision Transformers are Robust Learners Sayak Paul Pin-Yu Chen ViT 28 308 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 18 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 25 4 0 13 May 2021
Segmenter: Transformer for Semantic Segmentation Robin Strudel Ricardo Garcia Pinel Ivan Laptev Cordelia Schmid ViT 46 1,430 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 11 5 0 12 May 2021
Generalized Jensen-Shannon Divergence Loss for Learning with Noisy Labels Erik Englesson Hossein Azizpour NoLa 34 104 0 10 May 2021
TextAdaIN: Paying Attention to Shortcut Learning in Text Recognizers Oren Nuriel Sharon Fogel Ron Litman 27 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 21 528 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 36 656 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 44 799 0 07 May 2021
MiCE: Mixture of Contrastive Experts for Unsupervised Image Clustering Tsung Wei Tsai Chongxuan Li Jun Zhu 19 59 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 292 2,611 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 37 113 0 29 Apr 2021
Generalization Guarantees for Neural Architecture Search with Train-Validation Split Samet Oymak Mingchen Li Mahdi Soltanolkotabi AI4CE OOD 36 13 0 29 Apr 2021
Vision Transformers with Patch Diversification Chengyue Gong Dilin Wang Meng Li Vikas Chandra Qiang Liu ViT 45 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 18 3 0 24 Apr 2021
Multiscale Vision Transformers Haoqi Fan Bo Xiong K. Mangalam Yanghao Li Zhicheng Yan Jitendra Malik Christoph Feichtenhofer ViT 63 1,224 0 22 Apr 2021