Vol. 3 No. 1 (2023): African Journal of Artificial Intelligence and Sustainable Development
Articles

Deep Metric Learning - Techniques and Applications: Investigating deep metric learning techniques for learning similarity metrics directly from data for tasks such as image retrieval

Dr. Daniela Ramos
Associate Professor of Computer Science, University of São Paulo, Brazil
Cover

Published 14-05-2023

Keywords

  • Deep metric learning,
  • siamese networks,
  • triplet networks

How to Cite

[1]
Dr. Daniela Ramos, “Deep Metric Learning - Techniques and Applications: Investigating deep metric learning techniques for learning similarity metrics directly from data for tasks such as image retrieval”, African J. of Artificial Int. and Sust. Dev., vol. 3, no. 1, pp. 104–111, May 2023, Accessed: Dec. 22, 2024. [Online]. Available: https://africansciencegroup.com/index.php/AJAISD/article/view/66

Abstract

Deep metric learning (DML) has gained significant attention in recent years for its ability to learn similarity metrics directly from data. By leveraging deep neural networks, DML techniques can effectively capture complex relationships between data points, making them well-suited for tasks such as image retrieval. This paper provides a comprehensive overview of DML techniques, including siamese networks, triplet networks, and contrastive loss, among others. We also discuss the applications of DML in various domains, such as image retrieval, face verification, and person re-identification. Additionally, we highlight the challenges and future directions in DML research, including scalability and interpretability. Overall, this paper aims to provide a comprehensive understanding of DML techniques and their applications, serving as a valuable resource for researchers and practitioners in the field of computer vision and machine learning.

Downloads

Download data is not yet available.

References

  1. Tatineni, Sumanth. "Deep Learning for Natural Language Processing in Low-Resource Languages." International Journal of Advanced Research in Engineering and Technology (IJARET) 11.5 (2020): 1301-1311.
  2. Shaik, Mahammad, and Leeladhar Gudala. "Towards Autonomous Security: Leveraging Artificial Intelligence for Dynamic Policy Formulation and Continuous Compliance Enforcement in Zero Trust Security Architectures." African Journal of Artificial Intelligence and Sustainable Development1.2 (2021): 1-31.
  3. Tatineni, Sumanth. "Recommendation Systems for Personalized Learning: A Data-Driven Approach in Education." Journal of Computer Engineering and Technology (JCET) 4.2 (2020).