Egyart_classify: an approach to classify outpainted Egyptian monuments images using GAN and ResNet

Karim, Yasser; Salama, Amr Mohamed; Amr, Ahmed; Yehia, Loay Eldin; Refaat, Samira; Ismail, Fatma Helmy

doi:10.1109/miucc55081.2022.9781780

Cited by 3 publications

(3 citation statements)

References 7 publications

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“…K. Yasser et al [28] introduced a system for recognizing monuments and provided a thorough description in 2022. This research addressed the difficulty of recognizing cropped monuments as a significant challenge.…”

Section: Literature Surveymentioning

confidence: 99%

“…Currently, deep learning (DL) is beginning to outperform traditional computer vision techniques in certain areas of computer vision. With the tremendous success of DL in image categorization [13,14,15,16], researchers are beginning to investigate how DL may be used to improve object recognition performance. Object detection based on DL has also made significant progress over the past few years [17,18,19].…”

Section: Introductionmentioning

confidence: 99%

“…Presently, they have been in object detection and face recognition. The following is a list of the five promises that can be realized by the application of DL technologies in CV [13]:…”

Section: Introductionmentioning

confidence: 99%

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دراسة استطلاعية: التعرف على الآثار باستخدام الذكاء الاصطناعي

حسن,

حمدى,

نصر

2023

النشرة المعلوماتية في الحاسبات والمعلومات

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Monuments are man-made structures that are designed to imbue a location with important meanings. They serve both a political and artistic function. There is an overwhelming amount of information and features to look into monuments. Monument work is a unique industry. It would help the economies and growth of many countries. Every culture generally has its own set of distinct characteristics, like monuments, writing, and music. Considering the history and stories associated with monuments, it is difficult to evaluate the techniques used to detect these monuments. Within the domain of object recognition and classification, monument recognition is an arduous task. Numerous difficulties must be overcome, as multiple variables can alter the recognition method. This paper has been written to study the recent research on this point from 2017 to 2023. In this study, monuments from a variety of civilizations and countries, including Egypt, India, Turkey, Paris, Greece, and Singapore, have been compared to the algorithms or methodology utilized.

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Section: Literature Surveymentioning

confidence: 99%