Generating Synthetic Dataset for Cotton Leaf using DCGAN-Reference-Cited by-同舟云学术

Generating Synthetic Dataset for Cotton Leaf using DCGAN

Published:2023-03-23 Issue: Volume: Page:
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Container-title:2023 4th International Conference on Signal Processing and Communication (ICSPC)
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Author:

A Lakkshmi Yogesh N¹,G Bharathraj¹,S Sanjay Prasanth A¹,S Shreyas¹,B Rajesh C¹

Affiliation:

1. Amrita Vishwa Vidyapeetham,Amrita School of Engineering,Department of Electronics and Communication Engineering,Coimbatore,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10125570/10125282/10126067.pdf?arnumber=10126067

Reference18 articles.

1. SAR Target Recognition with Generative Adversarial Network (GAN)-based Data Augmentation

2. DCNN Augmentation via Synthetic Data from Variational Autoencoders and Generative Adversarial Networks

3. DCGAN-Based Data Augmentation for Tomato Leaf Disease Identification

4. Human Pose EstimationBased on GAN and DCGAN Models;ma;2021 3rd International Conference on Machine Learning Big Data and Business Intelligence (MLBDBI),2021

5. Design and Implementation of Marine Datasets Based on DCGAN Network

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1. Accuracy Analysis of Various CNN Models with Synthetic and Original Dataset for Cotton leaf;2024 Second International Conference on Emerging Trends in Information Technology and Engineering (ICETITE);2024-02-22

2. Text2FashionGAN: Augmenting Personalized Style Recommendations with cGANs and Word2Vec;2023 7th International Conference on Electronics, Communication and Aerospace Technology (ICECA);2023-11-22