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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
Learning from Different Samples: A Source-free Framework for
  Semi-supervised Domain Adaptation
Learning from Different Samples: A Source-free Framework for Semi-supervised Domain Adaptation
Xinyang Huang
Chuang Zhu
Bowen Zhang
Shanghang Zhang
26
1
0
11 Nov 2024
Feature Fusion Transferability Aware Transformer for Unsupervised Domain
  Adaptation
Feature Fusion Transferability Aware Transformer for Unsupervised Domain Adaptation
Xiaowei Yu
Zhe Huang
Zao Zhang
ViT
26
1
0
10 Nov 2024
Don't Look Twice: Faster Video Transformers with Run-Length Tokenization
Don't Look Twice: Faster Video Transformers with Run-Length Tokenization
Rohan Choudhury
Guanglei Zhu
Sihan Liu
Koichiro Niinuma
Kris M. Kitani
László A. Jeni
26
9
0
07 Nov 2024
AsCAN: Asymmetric Convolution-Attention Networks for Efficient
  Recognition and Generation
AsCAN: Asymmetric Convolution-Attention Networks for Efficient Recognition and Generation
Anil Kag
Huseyin Coskun
Jierun Chen
Junli Cao
Willi Menapace
Aliaksandr Siarohin
Sergey Tulyakov
Jian Ren
46
3
0
07 Nov 2024
Community Forensics: Using Thousands of Generators to Train Fake Image
  Detectors
Community Forensics: Using Thousands of Generators to Train Fake Image Detectors
Jeongsoo Park
Andrew Owens
34
3
0
06 Nov 2024
SPACE: SPAtial-aware Consistency rEgularization for anomaly detection in
  Industrial applications
SPACE: SPAtial-aware Consistency rEgularization for anomaly detection in Industrial applications
Daehwan Kim
Hyungmin Kim
Daun Jeong
Sungho Suh
Hansang Cho
32
0
0
05 Nov 2024
OwMatch: Conditional Self-Labeling with Consistency for Open-World
  Semi-Supervised Learning
OwMatch: Conditional Self-Labeling with Consistency for Open-World Semi-Supervised Learning
Shengjie Niu
Lifan Lin
Jian Huang
Chao Wang
29
0
0
04 Nov 2024
Inducing Semi-Structured Sparsity by Masking for Efficient Model
  Inference in Convolutional Networks
Inducing Semi-Structured Sparsity by Masking for Efficient Model Inference in Convolutional Networks
David A. Danhofer
27
0
0
01 Nov 2024
I Can Hear You: Selective Robust Training for Deepfake Audio Detection
I Can Hear You: Selective Robust Training for Deepfake Audio Detection
Zirui Zhang
Wei Hao
Aroon Sankoh
William Lin
Emanuel Mendiola-Ortiz
Junfeng Yang
Chengzhi Mao
AAML
26
2
0
31 Oct 2024
FRoundation: Are Foundation Models Ready for Face Recognition?
FRoundation: Are Foundation Models Ready for Face Recognition?
Tahar Chettaoui
Naser Damer
Fadi Boutros
CVBM
39
4
0
31 Oct 2024
(FL)$^2$: Overcoming Few Labels in Federated Semi-Supervised Learning
(FL)2^22: Overcoming Few Labels in Federated Semi-Supervised Learning
Seungjoo Lee
Thanh-Long V. Le
Jaemin Shin
Sung-Ju Lee
FedML
34
1
0
30 Oct 2024
Multi-Level Feature Distillation of Joint Teachers Trained on Distinct
  Image Datasets
Multi-Level Feature Distillation of Joint Teachers Trained on Distinct Image Datasets
Adrian Iordache
B. Alexe
Radu Tudor Ionescu
31
1
0
29 Oct 2024
RankUp: Boosting Semi-Supervised Regression with an Auxiliary Ranking
  Classifier
RankUp: Boosting Semi-Supervised Regression with an Auxiliary Ranking Classifier
Pin-Yen Huang
Szu-Wei Fu
Yu Tsao
32
0
0
29 Oct 2024
Where Do Large Learning Rates Lead Us?
Where Do Large Learning Rates Lead Us?
Ildus Sadrtdinov
M. Kodryan
Eduard Pokonechny
E. Lobacheva
Dmitry Vetrov
AI4CE
31
0
0
29 Oct 2024
Saliency-Based diversity and fairness Metric and
  FaceKeepOriginalAugment: A Novel Approach for Enhancing Fairness and
  Diversity
Saliency-Based diversity and fairness Metric and FaceKeepOriginalAugment: A Novel Approach for Enhancing Fairness and Diversity
Teerath Kumar
Alessandra Mileo
Malika Bendechache
29
0
0
29 Oct 2024
Decoupled Data Augmentation for Improving Image Classification
Decoupled Data Augmentation for Improving Image Classification
Ruoxin Chen
Zhe Wang
Ke-Yue Zhang
Shuang Wu
Jiamu Sun
Shouli Wang
Taiping Yao
Shouhong Ding
DiffM
32
2
0
29 Oct 2024
Enhancing pretraining efficiency for medical image segmentation via
  transferability metrics
Enhancing pretraining efficiency for medical image segmentation via transferability metrics
Gábor Hidy
Bence Bakos
András Lukács
23
1
0
24 Oct 2024
Paved or unpaved? A Deep Learning derived Road Surface Global Dataset
  from Mapillary Street-View Imagery
Paved or unpaved? A Deep Learning derived Road Surface Global Dataset from Mapillary Street-View Imagery
Sukanya Randhawa
Eren Aygun
Guntaj Randhawa
Benjamin Herfort
Sven Lautenbach
Alexander Zipf
24
0
0
24 Oct 2024
Synth4Seg -- Learning Defect Data Synthesis for Defect Segmentation
  using Bi-level Optimization
Synth4Seg -- Learning Defect Data Synthesis for Defect Segmentation using Bi-level Optimization
Shancong Mou
Raviteja Vemulapalli
Shiyu Li
Yuxuan Liu
C Thomas
...
Haoping Bai
Oncel Tuzel
Ping-Chia Huang
Jiulong Shan
Jianjun Shi
30
0
0
24 Oct 2024
PETAH: Parameter Efficient Task Adaptation for Hybrid Transformers in a
  resource-limited Context
PETAH: Parameter Efficient Task Adaptation for Hybrid Transformers in a resource-limited Context
Maximilian Augustin
Syed Shakib Sarwar
Mostafa Elhoushi
Sai Qian Zhang
Yuecheng Li
B. D. Salvo
23
0
0
23 Oct 2024
Granularity Matters in Long-Tail Learning
Granularity Matters in Long-Tail Learning
Shizhen Zhao
Xin Wen
J. Liu
Chuofan Ma
C. Yuan
Xiaojuan Qi
29
0
0
21 Oct 2024
Adversarial Training: A Survey
Adversarial Training: A Survey
Mengnan Zhao
Lihe Zhang
Jingwen Ye
Huchuan Lu
Baocai Yin
Xinchao Wang
AAML
28
0
0
19 Oct 2024
Budgeted Online Continual Learning by Adaptive Layer Freezing and Frequency-based Sampling
Budgeted Online Continual Learning by Adaptive Layer Freezing and Frequency-based Sampling
Minhyuk Seo
Hyunseo Koh
Jonghyun Choi
31
1
0
19 Oct 2024
How Does Data Diversity Shape the Weight Landscape of Neural Networks?
How Does Data Diversity Shape the Weight Landscape of Neural Networks?
Yang Ba
M. Mancenido
Rong Pan
19
0
0
18 Oct 2024
How Do Training Methods Influence the Utilization of Vision Models?
How Do Training Methods Influence the Utilization of Vision Models?
Paul Gavrikov
Shashank Agnihotri
M. Keuper
J. Keuper
26
2
0
18 Oct 2024
AnomalyNCD: Towards Novel Anomaly Class Discovery in Industrial Scenarios
AnomalyNCD: Towards Novel Anomaly Class Discovery in Industrial Scenarios
Ziming Huang
Xurui Li
Haotian Liu
Feng Xue
Yuzhe Wang
Yu Zhou
30
0
0
18 Oct 2024
FaceSaliencyAug: Mitigating Geographic, Gender and Stereotypical Biases
  via Saliency-Based Data Augmentation
FaceSaliencyAug: Mitigating Geographic, Gender and Stereotypical Biases via Saliency-Based Data Augmentation
Teerath Kumar
Alessandra Mileo
Malika Bendechache
CVBM
16
0
0
17 Oct 2024
Long-Tailed Backdoor Attack Using Dynamic Data Augmentation Operations
Long-Tailed Backdoor Attack Using Dynamic Data Augmentation Operations
Lu Pang
Tao Sun
Weimin Lyu
Haibin Ling
C. L. P. Chen
AAML
21
0
0
16 Oct 2024
Towards Zero-Shot Camera Trap Image Categorization
Towards Zero-Shot Camera Trap Image Categorization
Jiří Vyskočil
Lukas Picek
VLM
26
0
0
16 Oct 2024
MoH: Multi-Head Attention as Mixture-of-Head Attention
MoH: Multi-Head Attention as Mixture-of-Head Attention
Peng Jin
Bo Zhu
Li Yuan
Shuicheng Yan
MoE
29
13
0
15 Oct 2024
Efficiera Residual Networks: Hardware-Friendly Fully Binary Weight with
  2-bit Activation Model Achieves Practical ImageNet Accuracy
Efficiera Residual Networks: Hardware-Friendly Fully Binary Weight with 2-bit Activation Model Achieves Practical ImageNet Accuracy
Shuntaro Takahashi
Takuya Wakisaka
Hiroyuki Tokunaga
MQ
27
0
0
15 Oct 2024
Towards Understanding Why FixMatch Generalizes Better Than Supervised Learning
Towards Understanding Why FixMatch Generalizes Better Than Supervised Learning
Jingyang Li
Jiachun Pan
Vincent Y. F. Tan
Kim-Chuan Toh
Pan Zhou
AAML
MLT
43
0
0
15 Oct 2024
Browsing without Third-Party Cookies: What Do You See?
Browsing without Third-Party Cookies: What Do You See?
Maxwell Lin
Shihan Lin
Helen Wu
Karen Wang
Xiaowei Yang
BDL
51
0
0
14 Oct 2024
Exploring Semi-Supervised Learning for Online Mapping
Exploring Semi-Supervised Learning for Online Mapping
Adam Lilja
Erik Wallin
Junsheng Fu
Lars Hammarstrand
SSL
44
1
0
14 Oct 2024
EchoPrime: A Multi-Video View-Informed Vision-Language Model for
  Comprehensive Echocardiography Interpretation
EchoPrime: A Multi-Video View-Informed Vision-Language Model for Comprehensive Echocardiography Interpretation
Milos Vukadinovic
Xiu Tang
N. Yuan
Paul Cheng
Debiao Li
Susan Cheng
B. He
David Ouyang
32
11
0
13 Oct 2024
S$^4$ST: A Strong, Self-transferable, faSt, and Simple Scale Transformation for Transferable Targeted Attack
S4^44ST: A Strong, Self-transferable, faSt, and Simple Scale Transformation for Transferable Targeted Attack
Yongxiang Liu
Bowen Peng
Li Liu
X. Li
102
0
0
13 Oct 2024
DeBiFormer: Vision Transformer with Deformable Agent Bi-level Routing
  Attention
DeBiFormer: Vision Transformer with Deformable Agent Bi-level Routing Attention
Nguyen Huu Bao Long
Chenyu Zhang
Yuzhi Shi
Tsubasa Hirakawa
Takayoshi Yamashita
Tohgoroh Matsui
H. Fujiyoshi
31
2
0
11 Oct 2024
BA-Net: Bridge Attention in Deep Neural Networks
BA-Net: Bridge Attention in Deep Neural Networks
Ronghui Zhang
Runzong Zou
Yue Zhao
Zirui Zhang
Junzhou Chen
Yue Cao
Chuan Hu
Houbing Song
31
0
0
10 Oct 2024
When the Small-Loss Trick is Not Enough: Multi-Label Image
  Classification with Noisy Labels Applied to CCTV Sewer Inspections
When the Small-Loss Trick is Not Enough: Multi-Label Image Classification with Noisy Labels Applied to CCTV Sewer Inspections
Keryan Chelouche
Marie Lachaize
Marine Bernard
Louise Olgiati
Remi Cuingnet
NoLa
17
0
0
10 Oct 2024
MatMamba: A Matryoshka State Space Model
MatMamba: A Matryoshka State Space Model
Abhinav Shukla
Sai H. Vemprala
Aditya Kusupati
Ashish Kapoor
Mamba
28
0
0
09 Oct 2024
Unveiling the Backbone-Optimizer Coupling Bias in Visual Representation
  Learning
Unveiling the Backbone-Optimizer Coupling Bias in Visual Representation Learning
Siyuan Li
Juanxi Tian
Zedong Wang
Luyuan Zhang
Zicheng Liu
Weiyang Jin
Yang Liu
Baigui Sun
Stan Z. Li
31
0
0
08 Oct 2024
Adaptive Label Smoothing for Out-of-Distribution Detection
Adaptive Label Smoothing for Out-of-Distribution Detection
Mingle Xu
Jaehwan Lee
Sook Yoon
D. Park
OODD
28
2
0
08 Oct 2024
Continuous Contrastive Learning for Long-Tailed Semi-Supervised
  Recognition
Continuous Contrastive Learning for Long-Tailed Semi-Supervised Recognition
Zi-Hao Zhou
Siyuan Fang
Zi-Jing Zhou
Tong Wei
Yuanyu Wan
Min-Ling Zhang
26
1
0
08 Oct 2024
NegMerge: Consensual Weight Negation for Strong Machine Unlearning
NegMerge: Consensual Weight Negation for Strong Machine Unlearning
Hyoseo Kim
Dongyoon Han
Junsuk Choe
MoMe
MU
28
1
0
08 Oct 2024
Residual Kolmogorov-Arnold Network for Enhanced Deep Learning
Residual Kolmogorov-Arnold Network for Enhanced Deep Learning
Ray Congrui Yu
Sherry Wu
Jiang Gui
36
1
0
07 Oct 2024
Revealing the Unseen: Guiding Personalized Diffusion Models to Expose
  Training Data
Revealing the Unseen: Guiding Personalized Diffusion Models to Expose Training Data
Xiaoyu Wu
Jiaru Zhang
Steven Wu
33
1
0
03 Oct 2024
SAFLEX: Self-Adaptive Augmentation via Feature Label Extrapolation
SAFLEX: Self-Adaptive Augmentation via Feature Label Extrapolation
Mucong Ding
Bang An
Yuancheng Xu
Anirudh Satheesh
Furong Huang
19
1
0
03 Oct 2024
MONICA: Benchmarking on Long-tailed Medical Image Classification
MONICA: Benchmarking on Long-tailed Medical Image Classification
Lie Ju
Siyuan Yan
Yukun Zhou
Yang Nan
Xiaodan Xing
Peibo Duan
Zongyuan Ge
52
0
0
02 Oct 2024
WiGNet: Windowed Vision Graph Neural Network
WiGNet: Windowed Vision Graph Neural Network
Gabriele Spadaro
Marco Grangetto
A. Fiandrotti
Enzo Tartaglione
Jhony H. Giraldo
18
0
0
01 Oct 2024
Exploring Empty Spaces: Human-in-the-Loop Data Augmentation
Exploring Empty Spaces: Human-in-the-Loop Data Augmentation
Catherine Yeh
Donghao Ren
Yannick Assogba
Dominik Moritz
Fred Hohman
36
0
0
01 Oct 2024
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