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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
Alternate Diverse Teaching for Semi-supervised Medical Image
  Segmentation
Alternate Diverse Teaching for Semi-supervised Medical Image Segmentation
Zhen Zhao
Zicheng Wang
Longyue Wang
Dian Yu
Yixuan Yuan
Luping Zhou
103
14
0
29 Nov 2023
MobileCLIP: Fast Image-Text Models through Multi-Modal Reinforced
  Training
MobileCLIP: Fast Image-Text Models through Multi-Modal Reinforced Training
Pavan Kumar Anasosalu Vasu
Hadi Pouransari
Fartash Faghri
Raviteja Vemulapalli
Oncel Tuzel
CLIPVLM
114
53
0
28 Nov 2023
TransNeXt: Robust Foveal Visual Perception for Vision Transformers
TransNeXt: Robust Foveal Visual Perception for Vision Transformers
Dai Shi
ViT
93
96
0
28 Nov 2023
1-Lipschitz Layers Compared: Memory, Speed, and Certifiable Robustness
1-Lipschitz Layers Compared: Memory, Speed, and Certifiable Robustness
Bernd Prach
Fabio Brau
Giorgio Buttazzo
Christoph H. Lampert
84
8
0
28 Nov 2023
Conditional Prompt Tuning for Multimodal Fusion
Conditional Prompt Tuning for Multimodal Fusion
Ruixia Jiang
Lingbo Liu
Changwen Chen
78
0
0
28 Nov 2023
DyRA: Portable Dynamic Resolution Adjustment Network for Existing
  Detectors
DyRA: Portable Dynamic Resolution Adjustment Network for Existing Detectors
Daeun Seo
Hoeseok Yang
Hyungshin Kim
121
0
0
28 Nov 2023
ViT-Lens: Towards Omni-modal Representations
ViT-Lens: Towards Omni-modal Representations
Weixian Lei
Yixiao Ge
Kun Yi
Jianfeng Zhang
Difei Gao
Dylan Sun
Yuying Ge
Ying Shan
Mike Zheng Shou
92
20
0
27 Nov 2023
MetaDefa: Meta-learning based on Domain Enhancement and Feature
  Alignment for Single Domain Generalization
MetaDefa: Meta-learning based on Domain Enhancement and Feature Alignment for Single Domain Generalization
Can Sun
Hao Zheng
Zhigang Hu
Liu Yang
Meiguang Zheng
Bo Xu
63
0
0
27 Nov 2023
RandMSAugment: A Mixed-Sample Augmentation for Limited-Data Scenarios
RandMSAugment: A Mixed-Sample Augmentation for Limited-Data Scenarios
Swarna Kamlam Ravindran
Carlo Tomasi
70
0
0
25 Nov 2023
Occlusion Sensitivity Analysis with Augmentation Subspace Perturbation
  in Deep Feature Space
Occlusion Sensitivity Analysis with Augmentation Subspace Perturbation in Deep Feature Space
Pedro Valois
Koichiro Niinuma
Kazuhiro Fukui
AAML
68
5
0
25 Nov 2023
An Empirical Investigation into Benchmarking Model Multiplicity for
  Trustworthy Machine Learning: A Case Study on Image Classification
An Empirical Investigation into Benchmarking Model Multiplicity for Trustworthy Machine Learning: A Case Study on Image Classification
Prakhar Ganesh
70
5
0
24 Nov 2023
Echocardiogram Foundation Model -- Application 1: Estimating Ejection
  Fraction
Echocardiogram Foundation Model -- Application 1: Estimating Ejection Fraction
Adil Dahlan
C. Zakka
Abhinav Kumar
Laura Tang
R. Shad
R. Fong
W. Hiesinger
79
2
0
21 Nov 2023
Identifying the Defective: Detecting Damaged Grains for Cereal
  Appearance Inspection
Identifying the Defective: Detecting Damaged Grains for Cereal Appearance Inspection
Lei Fan
Yiwen Ding
Dongdong Fan
Yong Wu
Maurice Pagnucco
Yang Song
82
5
0
20 Nov 2023
Enhancing Transformer-Based Segmentation for Breast Cancer Diagnosis
  using Auto-Augmentation and Search Optimisation Techniques
Enhancing Transformer-Based Segmentation for Breast Cancer Diagnosis using Auto-Augmentation and Search Optimisation Techniques
Leon Hamnett
M. Adewunmi
M. Abayomi
Kayode Raheem
Fahad Ahmed
ViT
29
1
0
18 Nov 2023
Graph Neural Networks for Pressure Estimation in Water Distribution
  Systems
Graph Neural Networks for Pressure Estimation in Water Distribution Systems
Huy Truong
Andres Tello
Alexander Lazovik
Victoria Degeler
106
9
0
17 Nov 2023
SSB: Simple but Strong Baseline for Boosting Performance of Open-Set
  Semi-Supervised Learning
SSB: Simple but Strong Baseline for Boosting Performance of Open-Set Semi-Supervised Learning
Yue Fan
Anna Kukleva
Dengxin Dai
Bernt Schiele
83
9
0
17 Nov 2023
FRCSyn Challenge at WACV 2024:Face Recognition Challenge in the Era of
  Synthetic Data
FRCSyn Challenge at WACV 2024:Face Recognition Challenge in the Era of Synthetic Data
Pietro Melzi
Ruben Tolosana
R. Vera-Rodríguez
Minchul Kim
Christian Rathgeb
...
Andrea Atzori
Fadi Boutros
Naser Damer
Gianni Fenu
Mirko Marras
84
16
0
17 Nov 2023
Language Semantic Graph Guided Data-Efficient Learning
Language Semantic Graph Guided Data-Efficient Learning
Wenxuan Ma
Shuang Li
Lincan Cai
Jingxuan Kang
98
4
0
15 Nov 2023
Anchor Data Augmentation
Anchor Data Augmentation
Nora Schneider
Shirin Goshtasbpour
Fernando Pérez-Cruz
100
6
0
12 Nov 2023
Learning Human Action Recognition Representations Without Real Humans
Learning Human Action Recognition Representations Without Real Humans
Howard Zhong
Samarth Mishra
Donghyun Kim
SouYoung Jin
Yikang Shen
Hildegard Kuehne
Leonid Karlinsky
Venkatesh Saligrama
Aude Oliva
Rogerio Feris
94
4
0
10 Nov 2023
1-Lipschitz Neural Networks are more expressive with N-Activations
1-Lipschitz Neural Networks are more expressive with N-Activations
Bernd Prach
Christoph H. Lampert
AAMLFAtt
55
0
0
10 Nov 2023
Window Attention is Bugged: How not to Interpolate Position Embeddings
Window Attention is Bugged: How not to Interpolate Position Embeddings
Daniel Bolya
Chaitanya K. Ryali
Judy Hoffman
Christoph Feichtenhofer
85
13
0
09 Nov 2023
Embedding Space Interpolation Beyond Mini-Batch, Beyond Pairs and Beyond
  Examples
Embedding Space Interpolation Beyond Mini-Batch, Beyond Pairs and Beyond Examples
Shashanka Venkataramanan
Ewa Kijak
Laurent Amsaleg
Yannis Avrithis
74
4
0
09 Nov 2023
FireMatch: A Semi-Supervised Video Fire Detection Network Based on
  Consistency and Distribution Alignment
FireMatch: A Semi-Supervised Video Fire Detection Network Based on Consistency and Distribution Alignment
Qinghua Lin
Zuoyong Li
Kun Zeng
Haoyi Fan
Wei Li
Xiaoguang Zhou
44
7
0
09 Nov 2023
A Coefficient Makes SVRG Effective
A Coefficient Makes SVRG Effective
Yida Yin
Zhiqiu Xu
Zhiyuan Li
Trevor Darrell
Zhuang Liu
87
1
0
09 Nov 2023
Army of Thieves: Enhancing Black-Box Model Extraction via Ensemble based
  sample selection
Army of Thieves: Enhancing Black-Box Model Extraction via Ensemble based sample selection
Akshit Jindal
Vikram Goyal
Saket Anand
Chetan Arora
FedML
82
3
0
08 Nov 2023
Asymmetric Masked Distillation for Pre-Training Small Foundation Models
Asymmetric Masked Distillation for Pre-Training Small Foundation Models
Zhiyu Zhao
Bingkun Huang
Sen Xing
Gangshan Wu
Yu Qiao
Limin Wang
74
5
0
06 Nov 2023
Generating Unbiased Pseudo-labels via a Theoretically Guaranteed
  Chebyshev Constraint to Unify Semi-supervised Classification and Regression
Generating Unbiased Pseudo-labels via a Theoretically Guaranteed Chebyshev Constraint to Unify Semi-supervised Classification and Regression
Jiaqi Wu
Junbiao Pang
Qingming Huang
42
1
0
03 Nov 2023
Distilling Out-of-Distribution Robustness from Vision-Language
  Foundation Models
Distilling Out-of-Distribution Robustness from Vision-Language Foundation Models
Andy Zhou
Jindong Wang
Yu-Xiong Wang
Haohan Wang
VLM
94
6
0
02 Nov 2023
Improving Robustness via Tilted Exponential Layer: A
  Communication-Theoretic Perspective
Improving Robustness via Tilted Exponential Layer: A Communication-Theoretic Perspective
Bhagyashree Puranik
Ahmad Beirami
Yao Qin
Upamanyu Madhow
AAML
52
0
0
02 Nov 2023
Robust Data Pruning under Label Noise via Maximizing Re-labeling
  Accuracy
Robust Data Pruning under Label Noise via Maximizing Re-labeling Accuracy
Dongmin Park
Seola Choi
Doyoung Kim
Hwanjun Song
Jae-Gil Lee
NoLa
125
22
0
02 Nov 2023
Battle of the Backbones: A Large-Scale Comparison of Pretrained Models
  across Computer Vision Tasks
Battle of the Backbones: A Large-Scale Comparison of Pretrained Models across Computer Vision Tasks
Micah Goldblum
Hossein Souri
Renkun Ni
Manli Shu
Viraj Prabhu
...
Adrien Bardes
Judy Hoffman
Ramalingam Chellappa
Andrew Gordon Wilson
Tom Goldstein
VLM
188
68
0
30 Oct 2023
BirdSAT: Cross-View Contrastive Masked Autoencoders for Bird Species
  Classification and Mapping
BirdSAT: Cross-View Contrastive Masked Autoencoders for Bird Species Classification and Mapping
Srikumar Sastry
Subash Khanal
Aayush Dhakal
Di Huang
Nathan Jacobs
77
10
0
29 Oct 2023
InstanT: Semi-supervised Learning with Instance-dependent Thresholds
InstanT: Semi-supervised Learning with Instance-dependent Thresholds
Muyang Li
Runze Wu
Haoyu Liu
Jun-chen Yu
Xun Yang
Bo Han
Tongliang Liu
91
17
0
29 Oct 2023
Benchmark Generation Framework with Customizable Distortions for Image
  Classifier Robustness
Benchmark Generation Framework with Customizable Distortions for Image Classifier Robustness
Soumyendu Sarkar
Ashwin Ramesh Babu
Sajad Mousavi
Zachariah Carmichael
Vineet Gundecha
Sahand Ghorbanpour
Ricardo Luna
Antonio Guillen-Perez
Avisek Naug
AAMLDiffM
81
5
0
28 Oct 2023
Hierarchical Text Spotter for Joint Text Spotting and Layout Analysis
Hierarchical Text Spotter for Joint Text Spotting and Layout Analysis
Shangbang Long
Siyang Qin
Yasuhisa Fujii
Alessandro Bissacco
Michalis Raptis
81
5
0
25 Oct 2023
Data Optimization in Deep Learning: A Survey
Data Optimization in Deep Learning: A Survey
Ou Wu
Rujing Yao
109
2
0
25 Oct 2023
DualMatch: Robust Semi-Supervised Learning with Dual-Level Interaction
DualMatch: Robust Semi-Supervised Learning with Dual-Level Interaction
Cong Wang
Xiaofeng Cao
Lanzhe Guo
Zenglin Shi
72
2
0
25 Oct 2023
FlatMatch: Bridging Labeled Data and Unlabeled Data with Cross-Sharpness
  for Semi-Supervised Learning
FlatMatch: Bridging Labeled Data and Unlabeled Data with Cross-Sharpness for Semi-Supervised Learning
Zhuo Huang
Li Shen
Jun-chen Yu
Bo Han
Tongliang Liu
FedML
104
23
0
25 Oct 2023
SequenceMatch: Revisiting the design of weak-strong augmentations for
  Semi-supervised learning
SequenceMatch: Revisiting the design of weak-strong augmentations for Semi-supervised learning
Khanh-Binh Nguyen
111
4
0
24 Oct 2023
Debiasing, calibrating, and improving Semi-supervised Learning
  performance via simple Ensemble Projector
Debiasing, calibrating, and improving Semi-supervised Learning performance via simple Ensemble Projector
Khanh-Binh Nguyen
67
3
0
24 Oct 2023
Data-Free Knowledge Distillation Using Adversarially Perturbed OpenGL
  Shader Images
Data-Free Knowledge Distillation Using Adversarially Perturbed OpenGL Shader Images
Logan Frank
Jim Davis
77
1
0
20 Oct 2023
Semi-supervised multimodal coreference resolution in image narrations
Semi-supervised multimodal coreference resolution in image narrations
A. Goel
Basura Fernando
Frank Keller
Hakan Bilen
82
4
0
20 Oct 2023
RSAdapter: Adapting Multimodal Models for Remote Sensing Visual Question
  Answering
RSAdapter: Adapting Multimodal Models for Remote Sensing Visual Question Answering
Yuduo Wang
Pedram Ghamisi
59
6
0
19 Oct 2023
Semi-Supervised Learning of Dynamical Systems with Neural Ordinary
  Differential Equations: A Teacher-Student Model Approach
Semi-Supervised Learning of Dynamical Systems with Neural Ordinary Differential Equations: A Teacher-Student Model Approach
Yu Wang
Yuxuan Yin
Karthik Somayaji Nanjangud Suryanarayana
Ján Drgoňa
Malachi Schram
M. Halappanavar
Frank Liu
Peng Li
29
0
0
19 Oct 2023
EMIT-Diff: Enhancing Medical Image Segmentation via Text-Guided
  Diffusion Model
EMIT-Diff: Enhancing Medical Image Segmentation via Text-Guided Diffusion Model
Zheyu Zhang
Lanhong Yao
Bin Wang
Debesh Jha
Elif Keles
Alpay Medetalibeyoglu
Ulas Bagci
MedIm
80
15
0
19 Oct 2023
Scalarization for Multi-Task and Multi-Domain Learning at Scale
Scalarization for Multi-Task and Multi-Domain Learning at Scale
Amelie Royer
Tijmen Blankevoort
B. Bejnordi
97
18
0
13 Oct 2023
On the Over-Memorization During Natural, Robust and Catastrophic
  Overfitting
On the Over-Memorization During Natural, Robust and Catastrophic Overfitting
Runqi Lin
Chaojian Yu
Bo Han
Tongliang Liu
68
9
0
13 Oct 2023
Long-Tailed Classification Based on Coarse-Grained Leading Forest and
  Multi-Center Loss
Long-Tailed Classification Based on Coarse-Grained Leading Forest and Multi-Center Loss
Jinye Yang
Ji Xu
Di Wu
Jianhang Tang
Shaobo Li
Guoyin Wang
78
0
0
12 Oct 2023
DualAug: Exploiting Additional Heavy Augmentation with OOD Data
  Rejection
DualAug: Exploiting Additional Heavy Augmentation with OOD Data Rejection
Zehao Wang
Yiwen Guo
Qizhang Li
Guanglei Yang
Wangmeng Zuo
69
0
0
12 Oct 2023
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