Image Retrieval Using Convolutional Autoencoder, InfoGAN, and Vision Transformer Unsupervised Models-Reference-Cited by-同舟云学术

Image Retrieval Using Convolutional Autoencoder, InfoGAN, and Vision Transformer Unsupervised Models

Published:2023 Issue: Volume:11 Page:20445-20477
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Sabry Eman S.¹,Elagooz Salah S.¹,El-Samie Fathi E. Abd²^ORCID,El-Shafai Walid²^ORCID,El-Bahnasawy Nirmeen A.³^ORCID,El-Banby Ghada M.⁴^ORCID,Algarni Abeer D.⁵,Soliman Naglaa F.⁵^ORCID,Ramadan Rabie A.⁶^ORCID

Affiliation:

1. Department of Communications and Computers Engineering, Higher Institute of Engineering, El-Shorouk Academy, El-Shorouk, Egypt

2. Department of Electronics and Electrical Communications Engineering, Faculty of Electronic Engineering, Menoufia University, Menouf, Egypt

3. Computer Science and Engineering Department, Faculty of Electronic Engineering, Menoufia University, Menouf, Egypt

4. Department of Industrial Electronics and Control Engineering, Faculty of Electronic Engineering, Menoufia University, Menouf, Egypt

5. Department of Information Technology, College of Computer and Information Sciences, Princess Nourah bint Abdulrahman University, Riyadh, Saudi Arabia

6. Computer Engineering Department, College of Engineering, Cairo University, Giza, Egypt

Funder

Princess Nourah bint Abdulrahman University, Riyadh, Saudi Arabia, through the Princess Nourah bint Abdulrahman University Researchers Supporting Project

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering

Link

http://xplorestaging.ieee.org/ielx7/6287639/10005208/10035290.pdf?arnumber=10035290

Reference52 articles.

1. Understanding the Limitations of CNN-based absolute camera pose regression;torsten;Proc IEEE Conf Comput Vis and Pattern Recog,2019

2. Performance evaluation of enhanced error correction algorithms for efficient wireless 3D video communication systems

3. Adversarial Training for Sketch Retrieval

4. A Convolutional Autoencoder Approach for Feature Extraction in Virtual Metrology

5. Scalable triangulation-based logo recognition

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