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RandAugment: Practical automated data augmentation with a reduced search
  space

RandAugment: Practical automated data augmentation with a reduced search space

30 September 2019
E. D. Cubuk
Barret Zoph
Jonathon Shlens
Quoc V. Le
    MQ
ArXivPDFHTML

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

50 / 1,998 papers shown
Title
DecAug: Augmenting HOI Detection via Decomposition
DecAug: Augmenting HOI Detection via Decomposition
Yichen Xie
Haoshu Fang
Dian Shao
Yong-Lu Li
Cewu Lu
19
9
0
02 Oct 2020
Improving Auto-Augment via Augmentation-Wise Weight Sharing
Improving Auto-Augment via Augmentation-Wise Weight Sharing
Keyu Tian
Chen Lin
Ming-hui Sun
Luping Zhou
Junjie Yan
Wanli Ouyang
8
48
0
30 Sep 2020
Tackling unsupervised multi-source domain adaptation with optimism and
  consistency
Tackling unsupervised multi-source domain adaptation with optimism and consistency
Diogo Pernes
Jaime S. Cardoso
13
8
0
29 Sep 2020
PP-OCR: A Practical Ultra Lightweight OCR System
PP-OCR: A Practical Ultra Lightweight OCR System
Yuning Du
Chenxia Li
Ruoyu Guo
Xiaoting Yin
Weiwei Liu
...
Yifan Bai
Zilin Yu
Yehua Yang
Qingqing Dang
Hongya Wang
27
177
0
21 Sep 2020
MEAL V2: Boosting Vanilla ResNet-50 to 80%+ Top-1 Accuracy on ImageNet
  without Tricks
MEAL V2: Boosting Vanilla ResNet-50 to 80%+ Top-1 Accuracy on ImageNet without Tricks
Zhiqiang Shen
Marios Savvides
17
63
0
17 Sep 2020
AAG: Self-Supervised Representation Learning by Auxiliary Augmentation
  with GNT-Xent Loss
AAG: Self-Supervised Representation Learning by Auxiliary Augmentation with GNT-Xent Loss
Yanlun Tu
Jianxing Feng
Yang Yang
SSL
8
1
0
17 Sep 2020
EfficientSeg: An Efficient Semantic Segmentation Network
EfficientSeg: An Efficient Semantic Segmentation Network
V. B. Yesilkaynak
Y. Sahin
Gözde B. Ünal
SSeg
17
7
0
14 Sep 2020
Improving Semi-supervised Federated Learning by Reducing the Gradient
  Diversity of Models
Improving Semi-supervised Federated Learning by Reducing the Gradient Diversity of Models
Zhengming Zhang
Yaoqing Yang
Z. Yao
Yujun Yan
Joseph E. Gonzalez
Michael W. Mahoney
FedML
31
36
0
26 Aug 2020
Anchor-free Small-scale Multispectral Pedestrian Detection
Anchor-free Small-scale Multispectral Pedestrian Detection
Alexander Wolpert
Michael Teutsch
M. Sarfraz
Rainer Stiefelhagen
ObjD
10
29
0
19 Aug 2020
Semi-supervised learning using teacher-student models for vocal melody
  extraction
Semi-supervised learning using teacher-student models for vocal melody extraction
Sangeun Kum
Jing-Hua Lin
Li Su
Juhan Nam
6
17
0
14 Aug 2020
Learning Temporally Invariant and Localizable Features via Data
  Augmentation for Video Recognition
Learning Temporally Invariant and Localizable Features via Data Augmentation for Video Recognition
Taeoh Kim
Hyeongmin Lee
Myeongah Cho
H. Lee
Dong Heon Cho
Sangyoun Lee
25
24
0
13 Aug 2020
An Ensemble of Simple Convolutional Neural Network Models for MNIST
  Digit Recognition
An Ensemble of Simple Convolutional Neural Network Models for MNIST Digit Recognition
Sanghyeon An
Min Jun Lee
Sanglee Park
H. Yang
Jungmin So
11
77
0
12 Aug 2020
Spatiotemporal Contrastive Video Representation Learning
Spatiotemporal Contrastive Video Representation Learning
Rui Qian
Tianjian Meng
Boqing Gong
Ming-Hsuan Yang
H. Wang
Serge J. Belongie
Yin Cui
SSL
AI4TS
20
491
0
09 Aug 2020
Noisy Student Training using Body Language Dataset Improves Facial
  Expression Recognition
Noisy Student Training using Body Language Dataset Improves Facial Expression Recognition
Vikas Kumar
Shivansh Rao
Li Yu
CVBM
NoLa
23
31
0
06 Aug 2020
Weight-Sharing Neural Architecture Search: A Battle to Shrink the
  Optimization Gap
Weight-Sharing Neural Architecture Search: A Battle to Shrink the Optimization Gap
Lingxi Xie
Xin Chen
Kaifeng Bi
Longhui Wei
Yuhui Xu
...
Lanfei Wang
Anxiang Xiao
Jianlong Chang
Xiaopeng Zhang
Qi Tian
ViT
33
108
0
04 Aug 2020
Finite Versus Infinite Neural Networks: an Empirical Study
Finite Versus Infinite Neural Networks: an Empirical Study
Jaehoon Lee
S. Schoenholz
Jeffrey Pennington
Ben Adlam
Lechao Xiao
Roman Novak
Jascha Narain Sohl-Dickstein
6
207
0
31 Jul 2020
Rethinking Recurrent Neural Networks and Other Improvements for Image
  Classification
Rethinking Recurrent Neural Networks and Other Improvements for Image Classification
N. H. Phong
B. Ribeiro
VLM
16
8
0
30 Jul 2020
Regularizing Deep Networks with Semantic Data Augmentation
Regularizing Deep Networks with Semantic Data Augmentation
Yulin Wang
Gao Huang
Shiji Song
Xuran Pan
Yitong Xia
Cheng Wu
17
155
0
21 Jul 2020
Self-similarity Student for Partial Label Histopathology Image
  Segmentation
Self-similarity Student for Partial Label Histopathology Image Segmentation
Hsien-Tzu Cheng
Chun-Fu Yeh
Po-Chen Kuo
Andy Wei
Keng-Chi Liu
Mong-Chi Ko
Kuan-Hua Chao
Yu-Ching Peng
Tyng-Luh Liu
6
20
0
19 Jul 2020
OnlineAugment: Online Data Augmentation with Less Domain Knowledge
OnlineAugment: Online Data Augmentation with Less Domain Knowledge
Zhiqiang Tang
Yunhe Gao
Leonid Karlinsky
P. Sattigeri
Rogerio Feris
Dimitris N. Metaxas
19
56
0
17 Jul 2020
Distribution Aligning Refinery of Pseudo-label for Imbalanced
  Semi-supervised Learning
Distribution Aligning Refinery of Pseudo-label for Imbalanced Semi-supervised Learning
Jaehyung Kim
Youngbum Hur
Sejun Park
Eunho Yang
Sung Ju Hwang
Jinwoo Shin
6
159
0
17 Jul 2020
A Technical Report for VIPriors Image Classification Challenge
A Technical Report for VIPriors Image Classification Challenge
Zhipeng Luo
Ge Li
Zhiguang Zhang
VLM
14
2
0
17 Jul 2020
A New Look at Ghost Normalization
A New Look at Ghost Normalization
Neofytos Dimitriou
Ognjen Arandjelovic
17
8
0
16 Jul 2020
FeatMatch: Feature-Based Augmentation for Semi-Supervised Learning
FeatMatch: Feature-Based Augmentation for Semi-Supervised Learning
Chia-Wen Kuo
Chih-Yao Ma
Jia-Bin Huang
Z. Kira
19
118
0
16 Jul 2020
Gradient-based Hyperparameter Optimization Over Long Horizons
Gradient-based Hyperparameter Optimization Over Long Horizons
P. Micaelli
Amos Storkey
6
15
0
15 Jul 2020
Consistency Regularization with Generative Adversarial Networks for
  Semi-Supervised Learning
Consistency Regularization with Generative Adversarial Networks for Semi-Supervised Learning
Zexi Chen
B. Ramachandra
Ranga Raju Vatsavai
GAN
15
1
0
08 Jul 2020
SpinalNet: Deep Neural Network with Gradual Input
SpinalNet: Deep Neural Network with Gradual Input
H. M. D. Kabir
Moloud Abdar
S. M. Jalali
Abbas Khosravi
A. Atiya
S. Nahavandi
D. Srinivasan
AI4CE
22
131
0
07 Jul 2020
Measuring Robustness to Natural Distribution Shifts in Image
  Classification
Measuring Robustness to Natural Distribution Shifts in Image Classification
Rohan Taori
Achal Dave
Vaishaal Shankar
Nicholas Carlini
Benjamin Recht
Ludwig Schmidt
OOD
22
530
0
01 Jul 2020
Extracurricular Learning: Knowledge Transfer Beyond Empirical
  Distribution
Extracurricular Learning: Knowledge Transfer Beyond Empirical Distribution
Hadi Pouransari
Mojan Javaheripi
Vinay Sharma
Oncel Tuzel
8
5
0
30 Jun 2020
Target Consistency for Domain Adaptation: when Robustness meets
  Transferability
Target Consistency for Domain Adaptation: when Robustness meets Transferability
Yassine Ouali
Victor Bouvier
Myriam Tami
C´eline Hudelot
OOD
11
3
0
25 Jun 2020
Federated Semi-Supervised Learning with Inter-Client Consistency &
  Disjoint Learning
Federated Semi-Supervised Learning with Inter-Client Consistency & Disjoint Learning
Wonyong Jeong
Jaehong Yoon
Eunho Yang
Sung Ju Hwang
FedML
6
217
0
22 Jun 2020
Boosting Active Learning for Speech Recognition with Noisy
  Pseudo-labeled Samples
Boosting Active Learning for Speech Recognition with Noisy Pseudo-labeled Samples
Jihwan Bang
Heesu Kim
Y. Yoo
Jung-Woo Ha
9
2
0
19 Jun 2020
Supervision Accelerates Pre-training in Contrastive Semi-Supervised
  Learning of Visual Representations
Supervision Accelerates Pre-training in Contrastive Semi-Supervised Learning of Visual Representations
Mahmoud Assran
Nicolas Ballas
Lluis Castrejon
Michael G. Rabbat
SSL
8
3
0
18 Jun 2020
Differentiable Augmentation for Data-Efficient GAN Training
Differentiable Augmentation for Data-Efficient GAN Training
Shengyu Zhao
Zhijian Liu
Ji Lin
Jun-Yan Zhu
Song Han
31
600
0
18 Jun 2020
Unsupervised Learning of Visual Features by Contrasting Cluster
  Assignments
Unsupervised Learning of Visual Features by Contrasting Cluster Assignments
Mathilde Caron
Ishan Misra
Julien Mairal
Priya Goyal
Piotr Bojanowski
Armand Joulin
OCL
SSL
18
3,988
0
17 Jun 2020
Building One-Shot Semi-supervised (BOSS) Learning up to Fully Supervised
  Performance
Building One-Shot Semi-supervised (BOSS) Learning up to Fully Supervised Performance
L. Smith
A. Conovaloff
SSL
12
8
0
16 Jun 2020
Meta Approach to Data Augmentation Optimization
Meta Approach to Data Augmentation Optimization
Ryuichiro Hataya
Jan Zdenek
Kazuki Yoshizoe
Hideki Nakayama
24
34
0
14 Jun 2020
Bootstrap your own latent: A new approach to self-supervised Learning
Bootstrap your own latent: A new approach to self-supervised Learning
Jean-Bastien Grill
Florian Strub
Florent Altché
Corentin Tallec
Pierre Harvey Richemond
...
M. G. Azar
Bilal Piot
Koray Kavukcuoglu
Rémi Munos
Michal Valko
SSL
37
6,643
0
13 Jun 2020
High-contrast "gaudy" images improve the training of deep neural network
  models of visual cortex
High-contrast "gaudy" images improve the training of deep neural network models of visual cortex
Benjamin R. Cowley
Jonathan W. Pillow
6
10
0
13 Jun 2020
Rethinking Pre-training and Self-training
Rethinking Pre-training and Self-training
Barret Zoph
Golnaz Ghiasi
Tsung-Yi Lin
Yin Cui
Hanxiao Liu
E. D. Cubuk
Quoc V. Le
SSeg
21
645
0
11 Jun 2020
Training Generative Adversarial Networks with Limited Data
Training Generative Adversarial Networks with Limited Data
Tero Karras
M. Aittala
Janne Hellsten
S. Laine
J. Lehtinen
Timo Aila
GAN
23
1,853
0
11 Jun 2020
Hypernetwork-Based Augmentation
Hypernetwork-Based Augmentation
Chih-Yang Chen
Che-Han Chang
9
3
0
11 Jun 2020
Image Augmentations for GAN Training
Image Augmentations for GAN Training
Zhengli Zhao
Zizhao Zhang
Ting-Li Chen
Sameer Singh
Han Zhang
14
136
0
04 Jun 2020
Interpolation-based semi-supervised learning for object detection
Interpolation-based semi-supervised learning for object detection
Jisoo Jeong
Vikas Verma
Minsung Hyun
Juho Kannala
Nojun Kwak
34
73
0
03 Jun 2020
Pseudo-Representation Labeling Semi-Supervised Learning
Pseudo-Representation Labeling Semi-Supervised Learning
Song-Bo Yang
Tian-li Yu
11
3
0
31 May 2020
High-order structure preserving graph neural network for few-shot
  learning
High-order structure preserving graph neural network for few-shot learning
Guangfeng Lin
Ying Yang
Y. Fan
Xiao-bing Kang
Kaiyang Liao
Fan Zhao
6
1
0
29 May 2020
SCAN: Learning to Classify Images without Labels
SCAN: Learning to Classify Images without Labels
Wouter Van Gansbeke
Simon Vandenhende
Stamatios Georgoulis
M. Proesmans
Luc Van Gool
VLM
SSL
22
523
0
25 May 2020
What Makes for Good Views for Contrastive Learning?
What Makes for Good Views for Contrastive Learning?
Yonglong Tian
Chen Sun
Ben Poole
Dilip Krishnan
Cordelia Schmid
Phillip Isola
SSL
11
1,302
0
20 May 2020
Neural Architecture Transfer
Neural Architecture Transfer
Zhichao Lu
Gautam Sreekumar
E. Goodman
W. Banzhaf
Kalyanmoy Deb
Vishnu Naresh Boddeti
AAML
8
150
0
12 May 2020
A Simple Semi-Supervised Learning Framework for Object Detection
A Simple Semi-Supervised Learning Framework for Object Detection
Kihyuk Sohn
Zizhao Zhang
Chun-Liang Li
Han Zhang
Chen-Yu Lee
Tomas Pfister
18
492
0
10 May 2020
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