Enhancing Image Annotation With Object Tracking and Image Retrieval: A Systematic Review-Reference-Cited by-同舟云学术

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Enhancing Image Annotation With Object Tracking and Image Retrieval: A Systematic Review

Published:2024 Issue: Volume:12 Page:79428-79444
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Fernandes Rodrigo¹^ORCID,Pessoa Alexandre²,Salgado Marta³^ORCID,De Paiva Anselmo²^ORCID,Pacal Ishak⁴^ORCID,Cunha António¹^ORCID

Affiliation:

1. Institute for Systems and Computer Engineering, Technology and Science-INESC TEC, Porto, Portugal

2. Applied Computing Group, NCA-UFMA Federal University of Maranhão, São Luís, Brazil

3. University Hospital Centre of Santo António, Porto, Portugal

4. Department of Computer Engineering, Faculty of Engineering, Igdir University, Igdir, Turkey

Funder

National Funds through the Portuguese Funding Agency, FCT—Fundacão para a Ciência e a Tecnologia

European Commission

U.K. Research and Innovation

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/6287639/10380310/10540016.pdf?arnumber=10540016

Reference72 articles.

1. Machine Learning With Big Data: Challenges and Approaches

2. Uniform and Variational Deep Learning for RGB-D Object Recognition and Person Re-Identification

3. Object Recognition in Very Low Resolution Images Using Deep Collaborative Learning

4. OrthographicNet: A Deep Transfer Learning Approach for 3-D Object Recognition in Open-Ended Domains

5. Active Ensemble Deep Learning for Polarimetric Synthetic Aperture Radar Image Classification

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