ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1909.13719
  4. Cited By
RandAugment: Practical automated data augmentation with a reduced search
  space
v1v2 (latest)

RandAugment: Practical automated data augmentation with a reduced search space

30 September 2019
E. D. Cubuk
Barret Zoph
Jonathon Shlens
Quoc V. Le
    MQ
ArXiv (abs)PDFHTML

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

50 / 2,036 papers shown
Title
AROID: Improving Adversarial Robustness through Online Instance-wise
  Data Augmentation
AROID: Improving Adversarial Robustness through Online Instance-wise Data Augmentation
Lin Li
Jianing Qiu
Michael W. Spratling
AAML
56
4
0
12 Jun 2023
Global and Local Semantic Completion Learning for Vision-Language
  Pre-training
Global and Local Semantic Completion Learning for Vision-Language Pre-training
Rong-Cheng Tu
Yatai Ji
Jie Jiang
Weijie Kong
Chengfei Cai
Wenzhe Zhao
Hongfa Wang
Yujiu Yang
Wei Liu
VLM
96
4
0
12 Jun 2023
Feature Fusion from Head to Tail for Long-Tailed Visual Recognition
Feature Fusion from Head to Tail for Long-Tailed Visual Recognition
Mengke Li
Zhikai Hu
Yang Lu
Weichao Lan
Yiu-ming Cheung
Hui Huang
68
27
0
12 Jun 2023
Rethink DARTS Search Space and Renovate a New Benchmark
Rethink DARTS Search Space and Renovate a New Benchmark
Jiuling Zhang
Zhiming Ding
59
1
0
12 Jun 2023
2-D SSM: A General Spatial Layer for Visual Transformers
2-D SSM: A General Spatial Layer for Visual Transformers
Ethan Baron
Itamar Zimerman
Lior Wolf
94
16
0
11 Jun 2023
EventCLIP: Adapting CLIP for Event-based Object Recognition
EventCLIP: Adapting CLIP for Event-based Object Recognition
Ziyi Wu
Xudong Liu
Igor Gilitschenski
VLM
87
17
0
10 Jun 2023
Customizing General-Purpose Foundation Models for Medical Report
  Generation
Customizing General-Purpose Foundation Models for Medical Report Generation
Bang-ju Yang
Asif Raza
Yuexian Zou
Tong Zhang
MedIm
87
11
0
09 Jun 2023
Unsupervised augmentation optimization for few-shot medical image
  segmentation
Unsupervised augmentation optimization for few-shot medical image segmentation
Quan Quan
Shang Zhao
Qingsong Yao
Heqin Zhu
S. Kevin Zhou
88
1
0
08 Jun 2023
Generalizable Lightweight Proxy for Robust NAS against Diverse
  Perturbations
Generalizable Lightweight Proxy for Robust NAS against Diverse Perturbations
Hyeonjeong Ha
Minseon Kim
Sung Ju Hwang
OODAAML
68
6
0
08 Jun 2023
Optimizing ViViT Training: Time and Memory Reduction for Action
  Recognition
Optimizing ViViT Training: Time and Memory Reduction for Action Recognition
Shreyank N. Gowda
Anurag Arnab
Jonathan Huang
ViT
55
4
0
07 Jun 2023
ScoreCL: Augmentation-Adaptive Contrastive Learning via Score-Matching
  Function
ScoreCL: Augmentation-Adaptive Contrastive Learning via Score-Matching Function
Jinyoung Kim
Soonwoo Kwon
Hyojun Go
Yunsung Lee
Seungtaek Choi
Hyun-Gyoon Kim
64
1
0
07 Jun 2023
Towards Unified Text-based Person Retrieval: A Large-scale
  Multi-Attribute and Language Search Benchmark
Towards Unified Text-based Person Retrieval: A Large-scale Multi-Attribute and Language Search Benchmark
Shuyu Yang
Yinan Zhou
Yaxiong Wang
Yujiao Wu
Li Zhu
Zhedong Zheng
VLMDiffM
142
92
0
05 Jun 2023
Multi-Objective Population Based Training
Multi-Objective Population Based Training
A. Dushatskiy
A. Chebykin
Tanja Alderliesten
Peter A. N. Bosman
84
4
0
02 Jun 2023
Deep Reinforcement Learning Framework for Thoracic Diseases
  Classification via Prior Knowledge Guidance
Deep Reinforcement Learning Framework for Thoracic Diseases Classification via Prior Knowledge Guidance
Weizhi Nie
Chen Zhang
Dan Song
Lina Zhao
Yunpeng Bai
Keliang Xie
Anan Liu
74
2
0
02 Jun 2023
Exploring the Boundaries of Semi-Supervised Facial Expression
  Recognition: Learning from In-Distribution, Out-of-Distribution, and
  Unconstrained Data
Exploring the Boundaries of Semi-Supervised Facial Expression Recognition: Learning from In-Distribution, Out-of-Distribution, and Unconstrained Data
Shuvendu Roy
Ali Etemad
62
0
0
02 Jun 2023
Scaling Up Semi-supervised Learning with Unconstrained Unlabelled Data
Scaling Up Semi-supervised Learning with Unconstrained Unlabelled Data
Shuvendu Roy
Ali Etemad
SSL
58
5
0
02 Jun 2023
Consistency-guided Prompt Learning for Vision-Language Models
Consistency-guided Prompt Learning for Vision-Language Models
Shuvendu Roy
Ali Etemad
VLMVPVLM
93
63
0
01 Jun 2023
Hiera: A Hierarchical Vision Transformer without the Bells-and-Whistles
Hiera: A Hierarchical Vision Transformer without the Bells-and-Whistles
Chaitanya K. Ryali
Yuan-Ting Hu
Daniel Bolya
Chen Wei
Haoqi Fan
...
Omid Poursaeed
Judy Hoffman
Jitendra Malik
Yanghao Li
Christoph Feichtenhofer
3DH
128
188
0
01 Jun 2023
(Almost) Provable Error Bounds Under Distribution Shift via Disagreement
  Discrepancy
(Almost) Provable Error Bounds Under Distribution Shift via Disagreement Discrepancy
Elan Rosenfeld
Saurabh Garg
UQCV
68
7
0
01 Jun 2023
Lightweight Vision Transformer with Bidirectional Interaction
Lightweight Vision Transformer with Bidirectional Interaction
Qihang Fan
Huaibo Huang
Xiaoqiang Zhou
Ran He
ViT
150
29
0
01 Jun 2023
Bytes Are All You Need: Transformers Operating Directly On File Bytes
Bytes Are All You Need: Transformers Operating Directly On File Bytes
Maxwell Horton
Sachin Mehta
Ali Farhadi
Mohammad Rastegari
VLM
102
7
0
31 May 2023
Inconsistency, Instability, and Generalization Gap of Deep Neural
  Network Training
Inconsistency, Instability, and Generalization Gap of Deep Neural Network Training
Rie Johnson
Tong Zhang
43
6
0
31 May 2023
ManagerTower: Aggregating the Insights of Uni-Modal Experts for
  Vision-Language Representation Learning
ManagerTower: Aggregating the Insights of Uni-Modal Experts for Vision-Language Representation Learning
Xiao Xu
Bei Li
Chenfei Wu
Shao-Yen Tseng
Anahita Bhiwandiwalla
Shachar Rosenman
Vasudev Lal
Wanxiang Che
Nan Duan
AIFinVLM
68
4
0
31 May 2023
Too Large; Data Reduction for Vision-Language Pre-Training
Too Large; Data Reduction for Vision-Language Pre-Training
Alex Jinpeng Wang
Kevin Qinghong Lin
David Junhao Zhang
Stan Weixian Lei
Mike Zheng Shou
VLM
76
24
0
31 May 2023
VIPriors 3: Visual Inductive Priors for Data-Efficient Deep Learning
  Challenges
VIPriors 3: Visual Inductive Priors for Data-Efficient Deep Learning Challenges
Robert-Jan Bruintjes
A. Lengyel
Marcos Baptista-Rios
O. Kayhan
Davide Zambrano
Nergis Tomen
Jan van Gemert
65
9
0
31 May 2023
CVSNet: A Computer Implementation for Central Visual System of The Brain
CVSNet: A Computer Implementation for Central Visual System of The Brain
Ruimin Gao
Hao-Li Zou
Zhekai Duan
75
3
0
31 May 2023
Are Large Kernels Better Teachers than Transformers for ConvNets?
Are Large Kernels Better Teachers than Transformers for ConvNets?
Tianjin Huang
Lu Yin
Zhenyu Zhang
Lijuan Shen
Meng Fang
Mykola Pechenizkiy
Zhangyang Wang
Shiwei Liu
90
13
0
30 May 2023
Joint Optimization of Class-Specific Training- and Test-Time Data
  Augmentation in Segmentation
Joint Optimization of Class-Specific Training- and Test-Time Data Augmentation in Segmentation
Zeju Li
Konstantinos Kamnitsas
Qi Dou
C. Qin
Ben Glocker
66
6
0
30 May 2023
Caterpillar: A Pure-MLP Architecture with Shifted-Pillars-Concatenation
Caterpillar: A Pure-MLP Architecture with Shifted-Pillars-Concatenation
J. Sun
Xiaoshuang Shi
Zhiyuan Weng
Kaidi Xu
Jikang Cheng
Xiao-lan Zhu
MLLM
70
2
0
28 May 2023
CrossGET: Cross-Guided Ensemble of Tokens for Accelerating
  Vision-Language Transformers
CrossGET: Cross-Guided Ensemble of Tokens for Accelerating Vision-Language Transformers
Dachuan Shi
Chaofan Tao
Anyi Rao
Zhendong Yang
Chun Yuan
Jiaqi Wang
VLM
119
23
0
27 May 2023
Rethinking PRL: A Multiscale Progressively Residual Learning Network for
  Inverse Halftoning
Rethinking PRL: A Multiscale Progressively Residual Learning Network for Inverse Halftoning
Feiyu Li
Jun Yang
36
1
0
27 May 2023
BiomedGPT: A Unified and Generalist Biomedical Generative Pre-trained
  Transformer for Vision, Language, and Multimodal Tasks
BiomedGPT: A Unified and Generalist Biomedical Generative Pre-trained Transformer for Vision, Language, and Multimodal Tasks
Kai Zhang
Jun Yu
Eashan Adhikarla
Rong Zhou
Zhilin Yan
...
Xun Chen
Yong Chen
Quanzheng Li
Hongfang Liu
Lichao Sun
LM&MAMedIm
103
184
0
26 May 2023
Making Vision Transformers Truly Shift-Equivariant
Making Vision Transformers Truly Shift-Equivariant
Renan A. Rojas-Gomez
Teck-Yian Lim
Minh N. Do
Raymond A. Yeh
ViT
82
9
0
25 May 2023
Diversify Your Vision Datasets with Automatic Diffusion-Based
  Augmentation
Diversify Your Vision Datasets with Automatic Diffusion-Based Augmentation
Lisa Dunlap
Alyssa Umino
Han Zhang
Jiezhi Yang
Joseph E. Gonzalez
Trevor Darrell
DiffM
91
79
0
25 May 2023
Learning Better with Less: Effective Augmentation for Sample-Efficient
  Visual Reinforcement Learning
Learning Better with Less: Effective Augmentation for Sample-Efficient Visual Reinforcement Learning
Guozheng Ma
Linrui Zhang
Haoyu Wang
Lu Li
Zilin Wang
Zhen Wang
Li Shen
Xueqian Wang
Dacheng Tao
96
12
0
25 May 2023
Dynamic Data Augmentation via MCTS for Prostate MRI Segmentation
Dynamic Data Augmentation via MCTS for Prostate MRI Segmentation
Xin-Chao Xu
Yu-Tseng Hsi
Hong Wang
Xuelong Li
49
0
0
25 May 2023
Knowledge Diffusion for Distillation
Knowledge Diffusion for Distillation
Tao Huang
Yuan Zhang
Mingkai Zheng
Shan You
Fei Wang
Chao Qian
Chang Xu
108
56
0
25 May 2023
Training on Thin Air: Improve Image Classification with Generated Data
Training on Thin Air: Improve Image Classification with Generated Data
Yongchao Zhou
Hshmat Sahak
Jimmy Ba
DiffM
85
47
0
24 May 2023
Delving Deeper into Data Scaling in Masked Image Modeling
Delving Deeper into Data Scaling in Masked Image Modeling
Cheng Lu
Xiaojie Jin
Qibin Hou
Jun Hao Liew
Mingg-Ming Cheng
Jiashi Feng
69
4
0
24 May 2023
Non-adversarial Robustness of Deep Learning Methods for Computer Vision
Non-adversarial Robustness of Deep Learning Methods for Computer Vision
Gorana Gojić
V. Vincan
O. Kundacina
D. Mišković
Dinu Dragan
OOD
52
4
0
24 May 2023
HARD: Hard Augmentations for Robust Distillation
HARD: Hard Augmentations for Robust Distillation
Arne F. Nix
Max F. Burg
Fabian H. Sinz
AAML
74
1
0
24 May 2023
AdvFunMatch: When Consistent Teaching Meets Adversarial Robustness
AdvFunMatch: When Consistent Teaching Meets Adversarial Robustness
Ziuhi Wu
Haichang Gao
Bingqian Zhou
Ping Wang
AAML
60
0
0
24 May 2023
CLIP4STR: A Simple Baseline for Scene Text Recognition with Pre-trained
  Vision-Language Model
CLIP4STR: A Simple Baseline for Scene Text Recognition with Pre-trained Vision-Language Model
Shuai Zhao
Xiaohan Wang
Linchao Zhu
Yezhou Yang
CLIPVLM
125
27
0
23 May 2023
UNIMO-3: Multi-granularity Interaction for Vision-Language
  Representation Learning
UNIMO-3: Multi-granularity Interaction for Vision-Language Representation Learning
Hao Yang
Can Gao
Hao Liu
Xinyan Xiao
Yanyan Zhao
Bing Qin
39
2
0
23 May 2023
Tied-Augment: Controlling Representation Similarity Improves Data
  Augmentation
Tied-Augment: Controlling Representation Similarity Improves Data Augmentation
Emirhan Kurtuluş
Zichao Li
Yann N. Dauphin
E. D. Cubuk
68
3
0
22 May 2023
EnSiam: Self-Supervised Learning With Ensemble Representations
EnSiam: Self-Supervised Learning With Ensemble Representations
Kai Han
Minsik Lee
SSL
80
0
0
22 May 2023
Revisiting Data Augmentation in Model Compression: An Empirical and
  Comprehensive Study
Revisiting Data Augmentation in Model Compression: An Empirical and Comprehensive Study
Muzhou Yu
Linfeng Zhang
Kaisheng Ma
68
2
0
22 May 2023
VanillaNet: the Power of Minimalism in Deep Learning
VanillaNet: the Power of Minimalism in Deep Learning
Hanting Chen
Yunhe Wang
Jianyuan Guo
Dacheng Tao
VLM
90
94
0
22 May 2023
Imprecise Label Learning: A Unified Framework for Learning with Various
  Imprecise Label Configurations
Imprecise Label Learning: A Unified Framework for Learning with Various Imprecise Label Configurations
Hao Chen
Ankit Shah
Jindong Wang
R. Tao
Yidong Wang
Xingxu Xie
Masashi Sugiyama
Rita Singh
Bhiksha Raj
116
13
0
22 May 2023
P-NOC: adversarial training of CAM generating networks for robust weakly
  supervised semantic segmentation priors
P-NOC: adversarial training of CAM generating networks for robust weakly supervised semantic segmentation priors
L. David
Hélio Pedrini
Z. Dias
GAN
81
1
0
21 May 2023
Previous
123...151617...394041
Next