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The Effectiveness of Data Augmentation in Image Classification using
  Deep Learning

The Effectiveness of Data Augmentation in Image Classification using Deep Learning

13 December 2017
Luis Perez
Jason Wang
ArXiv (abs)PDFHTML

Papers citing "The Effectiveness of Data Augmentation in Image Classification using Deep Learning"

50 / 587 papers shown
Parameter efficient hybrid spiking-quantum convolutional neural network with surrogate gradient and quantum data-reupload
Parameter efficient hybrid spiking-quantum convolutional neural network with surrogate gradient and quantum data-reupload
Luu Trong Nhan
Luu Trung Duong
Pham Ngoc Nam
Truong Cong Thang
99
0
0
03 Dec 2025
Generative Hints
Generative Hints
Andy Dimnaku
Abdullah Yusuf Kavranoğlu
Yaser Abu-Mostafa
GAN
238
0
0
04 Nov 2025
Generative AI in Depth: A Survey of Recent Advances, Model Variants, and Real-World Applications
Generative AI in Depth: A Survey of Recent Advances, Model Variants, and Real-World ApplicationsJournal of Big Data (JBD), 2025
Shamim Yazdani
Akansha Singh
N. Saxena
Sribala Vidyadhari Chinta
Avash Palikhe
Deng Pan
Umapada Pal
Jie Yang
Wenbin Zhang
277
12
0
23 Oct 2025
Learning Regularizers: Learning Optimizers that can Regularize
Learning Regularizers: Learning Optimizers that can Regularize
Suraj Kumar Sahoo
Narayanan C Krishnan
179
0
0
10 Oct 2025
LLM-Assisted Modeling of Semantic Web-Enabled Multi-Agents Systems with AJAN
LLM-Assisted Modeling of Semantic Web-Enabled Multi-Agents Systems with AJAN
Hacane Hechehouche
Andre Antakli
Matthias Klusch
LLMAG3DV
246
1
0
08 Oct 2025
On-the-Fly Data Augmentation for Brain Tumor Segmentation
On-the-Fly Data Augmentation for Brain Tumor Segmentation
Ishika Jain
Siri Willems
Steven Latré
Tom De Schepper
155
1
0
29 Sep 2025
Accuracy-Robustness Trade Off via Spiking Neural Network Gradient Sparsity Trail
Accuracy-Robustness Trade Off via Spiking Neural Network Gradient Sparsity Trail
Nhan T. Luu
Luu Trung Duong
Pham Ngoc Nam
Truong Cong Thang
AAML
282
1
0
28 Sep 2025
SurvDiff: A Diffusion Model for Generating Synthetic Data in Survival Analysis
SurvDiff: A Diffusion Model for Generating Synthetic Data in Survival Analysis
Marie Brockschmidt
Maresa Schröder
Stefan Feuerriegel
SyDaMedIm
211
0
0
26 Sep 2025
Interpretable Discovery of One-parameter Subgroups: A Modular Framework for Elliptical, Hyperbolic, and Parabolic Symmetries
Interpretable Discovery of One-parameter Subgroups: A Modular Framework for Elliptical, Hyperbolic, and Parabolic Symmetries
Pavan Karjol
Vivek Kashyap
Rohan Kashyap
Prathosh A P
246
0
0
26 Sep 2025
DTGen: Generative Diffusion-Based Few-Shot Data Augmentation for Fine-Grained Dirty Tableware Recognition
DTGen: Generative Diffusion-Based Few-Shot Data Augmentation for Fine-Grained Dirty Tableware Recognition
Lifei Hao
Yue Cheng
Baoqi Huang
Bing Jia
Xuandong Zhao
131
0
0
15 Sep 2025
An Entropy-Guided Curriculum Learning Strategy for Data-Efficient Acoustic Scene Classification under Domain Shift
An Entropy-Guided Curriculum Learning Strategy for Data-Efficient Acoustic Scene Classification under Domain Shift
Peihong Zhang
Yuxuan Liu
Zhixin li
Rui Sang
Yiqiang Cai
Yizhou Tan
Shengchen Li
208
0
0
14 Sep 2025
Neural Scaling Laws for Deep Regression
Neural Scaling Laws for Deep Regression
Tilen Cadez
Kyoung-Min Kim
251
0
0
12 Sep 2025
From Scarcity to Efficiency: Investigating the Effects of Data Augmentation on African Machine Translation
From Scarcity to Efficiency: Investigating the Effects of Data Augmentation on African Machine Translation
Mardiyyah Oduwole
Oluwatosin Olajide
Jamiu Suleiman
Faith Hunja
Busayo Awobade
...
Chinonyelum Igwe
Peace Ododo
Promise Omoigui
Steven Kolawole
A. Owodunni
256
0
0
09 Sep 2025
Systematic Integration of Attention Modules into CNNs for Accurate and Generalizable Medical Image Diagnosis
Systematic Integration of Attention Modules into CNNs for Accurate and Generalizable Medical Image Diagnosis
Zahid Ullah
Minki Hong
Tahir Mahmood
Jihie Kim
265
0
0
02 Sep 2025
RotBench: Evaluating Multimodal Large Language Models on Identifying Image Rotation
RotBench: Evaluating Multimodal Large Language Models on Identifying Image Rotation
Tianyi Niu
Jaemin Cho
Elias Stengel-Eskin
Mohit Bansal
LRMVLM
368
0
0
19 Aug 2025
XAI-Guided Analysis of Residual Networks for Interpretable Pneumonia Detection in Paediatric Chest X-rays
XAI-Guided Analysis of Residual Networks for Interpretable Pneumonia Detection in Paediatric Chest X-rays
Rayyan Ridwan
166
0
0
18 Jul 2025
Quantifying Classifier Utility under Local Differential Privacy
Quantifying Classifier Utility under Local Differential Privacy
Ye Zheng
Yidan Hu
241
0
0
03 Jul 2025
Learning from Noise: Enhancing DNNs for Event-Based Vision through Controlled Noise Injection
Learning from Noise: Enhancing DNNs for Event-Based Vision through Controlled Noise Injection
M. Kowalczyk
K. Jeziorek
T. Kryjak
287
0
0
04 Jun 2025
G4Seg: Generation for Inexact Segmentation Refinement with Diffusion Models
G4Seg: Generation for Inexact Segmentation Refinement with Diffusion Models
Tianjiao Zhang
Fei Zhang
Jiangchao Yao
Ya Zhang
Yanfeng Wang
DiffM
453
5
0
02 Jun 2025
Robust Invariant Representation Learning by Distribution Extrapolation
Robust Invariant Representation Learning by Distribution Extrapolation
Kotaro Yoshida
Konstantinos Slavakis
OOD
290
0
0
22 May 2025
Equally Critical: Samples, Targets, and Their Mappings in Datasets
Equally Critical: Samples, Targets, and Their Mappings in Datasets
Runkang Yang
Peng Sun
Xinyi Shang
Yi Tang
Tao Lin
189
0
0
17 May 2025
Calibration and Uncertainty for multiRater Volume Assessment in multiorgan Segmentation (CURVAS) challenge results
Calibration and Uncertainty for multiRater Volume Assessment in multiorgan Segmentation (CURVAS) challenge results
Meritxell Riera-Marin
S. Ko
Julia Rodriguez-Comas
Matthias Stefan May
Zhaohong Pan
...
Anton Aubanell
Andreu Antolin
Javier Garcia-Lopez
M. A. G. Ballester
Adrian Galdran
UQCV
437
4
0
13 May 2025
A Large-scale Benchmark on Geological Fault Delineation Models: Domain Shift, Training Dynamics, Generalizability, Evaluation and Inferential Behavior
A Large-scale Benchmark on Geological Fault Delineation Models: Domain Shift, Training Dynamics, Generalizability, Evaluation and Inferential Behavior
Jorge Quesada
Chen Zhou
Prithwijit Chowdhury
Mohammad Alotaibi
Ahmad Mustafa
Yusufjon Kumamnov
Mohit Prabhushankar
Ghassan AlRegib
AI4CE
442
3
0
13 May 2025
Batch Augmentation with Unimodal Fine-tuning for Multimodal Learning
Batch Augmentation with Unimodal Fine-tuning for Multimodal Learning
H. M. D. Kabir
S. Mondal
Mohammad Ali Moni
266
0
0
10 May 2025
Scalable Aerial GNSS Localization for Marine Robots
Scalable Aerial GNSS Localization for Marine Robots
Shuo Wen
Edwin Meriaux
Mariana Sosa Guzmán
Charlotte Morissette
Chloe Si
Bobak H. Baghi
Gregory Dudek
316
1
0
07 May 2025
Is AI currently capable of identifying wild oysters? A comparison of human annotators against the AI model, ODYSSEE
Is AI currently capable of identifying wild oysters? A comparison of human annotators against the AI model, ODYSSEE
Brendan Campbell
Alan Williams
Kleio Baxevani
Alyssa Campbell
Rushabh Dhoke
...
Arjun Suresh
Alhim Vera
Arthur Trembanis
Herbert G. Tanner
Edward Hale
362
1
0
06 May 2025
Local Herb Identification Using Transfer Learning: A CNN-Powered Mobile Application for Nepalese Flora
Local Herb Identification Using Transfer Learning: A CNN-Powered Mobile Application for Nepalese Flora
Prajwal Thapa
Mridul Sharma
Jinu Nyachhyon
Yagya Raj Pandeya
158
1
0
04 May 2025
A Multimodal Hybrid Late-Cascade Fusion Network for Enhanced 3D Object Detection
A Multimodal Hybrid Late-Cascade Fusion Network for Enhanced 3D Object Detection
Carlo Sgaravatti
Roberto Basla
Riccardo Pieroni
Matteo Corno
S. Savaresi
Luca Magri
Giacomo Boracchi
3DPC
301
4
0
25 Apr 2025
Enhancing Image Classification with Augmentation: Data Augmentation Techniques for Improved Image Classification
Enhancing Image Classification with Augmentation: Data Augmentation Techniques for Improved Image Classification
Saorj Kumar
Prince Asiamah
Oluwatoyin Jolaoso
Ugochukwu Esiowu
224
12
0
25 Feb 2025
Steganographic Embeddings as an Effective Data Augmentation
Steganographic Embeddings as an Effective Data Augmentation
Nicholas DiSalvo
267
0
0
24 Feb 2025
Image compositing is all you need for data augmentation
Image compositing is all you need for data augmentation
Ang Jia Ning Shermaine
Michalis Lazarou
Tania Stathaki
462
3
0
20 Feb 2025
Slim multi-scale convolutional autoencoder-based reduced-order models for interpretable features of a complex dynamical system
Slim multi-scale convolutional autoencoder-based reduced-order models for interpretable features of a complex dynamical systemAPL Machine Learning (AML), 2025
P. Teutsch
Philipp Pfeffer
Mohammad Sharifi Ghazijahani
Christian Cierpka
J. Schumacher
Patrick Mäder
AI4CE
228
2
0
06 Jan 2025
Hyperparameter Importance Analysis for Multi-Objective AutoML
Hyperparameter Importance Analysis for Multi-Objective AutoMLEuropean Conference on Artificial Intelligence (ECAI), 2024
Daphne Theodorakopoulos
Frederic Stahl
Marius Lindauer
474
9
0
03 Jan 2025
Tazza: Shuffling Neural Network Parameters for Secure and Private Federated Learning
Tazza: Shuffling Neural Network Parameters for Secure and Private Federated Learning
Kichang Lee
Jaeho Jin
JaeYeon Park
Jeonggil Ko
JeongGil Ko
FedML
387
3
0
10 Dec 2024
Accurate early detection of Parkinson's disease from SPECT imaging through Convolutional Neural Networks
Accurate early detection of Parkinson's disease from SPECT imaging through Convolutional Neural Networks
R. Prashanth
MedIm
246
2
0
06 Dec 2024
DiffuPT: Class Imbalance Mitigation for Glaucoma Detection via Diffusion
  Based Generation and Model Pretraining
DiffuPT: Class Imbalance Mitigation for Glaucoma Detection via Diffusion Based Generation and Model PretrainingIEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2024
Youssof Nawar
Nouran Soliman
Moustafa Wassel
Mohamed ElHabebe
Noha Adly
Marwan Torki
Ahmed Elmassry
Islam Ahmed
MedIm
335
2
0
04 Dec 2024
Physically Consistent Image Augmentation for Deep Learning in Mueller Matrix Polarimetry
Physically Consistent Image Augmentation for Deep Learning in Mueller Matrix PolarimetryIEEE Transactions on Image Processing (TIP), 2024
Christopher Hahne
Omar Rodriguez-Nunez
Éléa Gros
Théotim Lucas
Ekkehard Hewer
Tatiana Novikova
Theoni Maragkou
Philippe Schucht
Richard McKinley
462
0
0
12 Nov 2024
Analysis of Classifier Training on Synthetic Data for Cross-Domain
  Datasets
Analysis of Classifier Training on Synthetic Data for Cross-Domain Datasets
Andoni Cortés
Clemente Rodríguez
G. Velez
Javier Barandiarán
Marcos Nieto
240
16
0
30 Oct 2024
Relaxed Equivariance via Multitask Learning
Relaxed Equivariance via Multitask Learning
Ahmed A. A. Elhag
T. Konstantin Rusch
Francesco Di Giovanni
Michael Bronstein
526
7
0
23 Oct 2024
AugInsert: Learning Robust Visual-Force Policies via Data Augmentation for Object Assembly Tasks
AugInsert: Learning Robust Visual-Force Policies via Data Augmentation for Object Assembly Tasks
Ryan Diaz
Adam Imdieke
Vivek Veeriah
Karthik Desingh
353
0
0
19 Oct 2024
Prediction of Cardiovascular Risk Factors from Retinal Fundus Images
  using CNNs
Prediction of Cardiovascular Risk Factors from Retinal Fundus Images using CNNs
Andrea Prenner
134
2
0
15 Oct 2024
Role of Delay in Brain Dynamics
Role of Delay in Brain Dynamics
Yuval Meir
Ofek Tevet
Yarden Tzach
Shiri Hodassman
Ido Kanter
AI4CE
206
2
0
15 Oct 2024
A Target-Aware Analysis of Data Augmentation for Hate Speech Detection
A Target-Aware Analysis of Data Augmentation for Hate Speech Detection
Camilla Casula
Sara Tonelli
293
0
0
10 Oct 2024
Taming the Tail: Leveraging Asymmetric Loss and Pade Approximation to
  Overcome Medical Image Long-Tailed Class Imbalance
Taming the Tail: Leveraging Asymmetric Loss and Pade Approximation to Overcome Medical Image Long-Tailed Class Imbalance
Pankhi Kashyap
Pavni Tandon
Sunny Gupta
Abhishek Tiwari
Ritwik Kulkarni
Kshitij Sharad Jadhav
255
2
0
05 Oct 2024
Synthio: Augmenting Small-Scale Audio Classification Datasets with Synthetic Data
Synthio: Augmenting Small-Scale Audio Classification Datasets with Synthetic DataInternational Conference on Learning Representations (ICLR), 2024
Sreyan Ghosh
Sonal Kumar
Zhifeng Kong
Rafael Valle
Bryan Catanzaro
Dinesh Manocha
DiffM
566
8
0
02 Oct 2024
Pseudo-Nonlinear Data Augmentation: A Constrained Energy Minimization Viewpoint
Pseudo-Nonlinear Data Augmentation: A Constrained Energy Minimization Viewpoint
Pingbang Hu
Mahito Sugiyama
253
0
0
01 Oct 2024
Reducing and Exploiting Data Augmentation Noise through Meta Reweighting
  Contrastive Learning for Text Classification
Reducing and Exploiting Data Augmentation Noise through Meta Reweighting Contrastive Learning for Text Classification
Guanyi Mou
Yichuan Li
Kyumin Lee
334
3
0
26 Sep 2024
Development and Application of a Sentinel-2 Satellite Imagery Dataset
  for Deep-Learning Driven Forest Wildfire Detection
Development and Application of a Sentinel-2 Satellite Imagery Dataset for Deep-Learning Driven Forest Wildfire Detection
Valeria Martin
K. Brent Venable
Derek Morgan
148
0
0
24 Sep 2024
Unleashing the Potential of Synthetic Images: A Study on Histopathology
  Image Classification
Unleashing the Potential of Synthetic Images: A Study on Histopathology Image Classification
Leire Benito-Del-Valle
Aitor Alvarez-Gila
Itziar Eguskiza
C. L. Saratxaga
DiffMMedIm
307
1
0
24 Sep 2024
Test-Time Augmentation Meets Variational Bayes
Test-Time Augmentation Meets Variational Bayes
Masanari Kimura
Howard Bondell
OODBDLTDI
284
4
0
19 Sep 2024
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