A Comparative Analysis in Using Deep Learning Models Which Results in Efficient Image Data Augmentation-Reference-Cited by-同舟云学术

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A Comparative Analysis in Using Deep Learning Models Which Results in Efficient Image Data Augmentation

Published:2023-12-12 Issue: Volume:33 Page:1-6
ISSN:
Container-title:2023 4th International Conference on Computation, Automation and Knowledge Management (ICCAKM)
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Author:

Kumar Nassa Vinay¹,Kumar Satpathy Susanta²,Pathak Mrunal K.³,Takale Dattatray G.⁴,Rawat Swati⁵,Rana Samir⁶

Affiliation:

1. Rajarambapu Institute of Technology, Rajaramnagar Sakharale Tel,Department,Sangli,Maharshtra,415414

2. Vignan Foundation of science technology and research Vadlamudi,Computer science and engineering,Guntur,Andhra Pradesh

3. AISSMS Institute of Information Technology, Savitribai Phule Pune University,Department of Information Technology,Pune,India

4. Vishwakarma institute of information technology, SPPU,Computer Engineering,Pune

5. M.M. Institute of Computer Technology & Business Management (MCA),Mullana-Ambala,India

6. Graphic Era Hill University,Department of computer science and engineering,Dehradun,Uttarakhand

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10449490/10449491/10449622.pdf?arnumber=10449622

Reference31 articles.

1. A survey on Image Data Augmentation for Deep Learning

2. Credit Card Fraud Transaction Classification Using Improved Class Balancing and Support Vector Machines;Verma,2022

3. Time Series Data Augmentation for Deep Learning: A Survey

4. Unsupervised data augmentation for consistency training;Xie;Advances in Neural Information Processing Systems,2020

5. Data augmentation for improving deep learning in image classification problem

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