Generative adversarial networks in object detection: A systematic literature review

Generative adversarial networks in object detection: A systematic literature review

The intersection of Generative Adversarial Networks (GANs) and object detection represents one of the most promising developments in modern computer vision, offering innovative solutions to longstanding challenges in visual recognition systems. This review presents a systematic analysis of how GANs...

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Bibliographic Details
Main Authors: Anis Farihan, Mat Raffei, Sinung, Suakanto, Faqih, Hamami, Mohd Arfian, Ismail, Ernawan, Ferda
Format: Article
Language:English
Published: Informatics Department, Faculty of Science and Technology, UIN Sunan Gunung Djati Bandung 2025
Subjects:
QA75 Electronic computers. Computer science
T Technology (General)
Online Access:https://umpir.ump.edu.my/id/eprint/45090/

Internet

https://umpir.ump.edu.my/id/eprint/45090/

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