Evaluation Of The Performance Of Distinctive Object Detection And Camouflaged Object Detection Models Using Night Image Data
Özet
Object detection in nighttime images is a challenge that traditional
object detection models struggle to solve due to insufficient light and
ambiguities. Therefore, specific models for this domain are being
designed and proposed in the literature. Numerous studies have
demonstrated that traditional models are inadequate and unsuitable for
this domain, but there are very few studies examining the performance
of models developed for more specific tasks, such as distinct object
detection (SOD) or camouflaged object detection (COD), and whether
they can contribute to this field. In this study, different SOD and COD
models were trained on a dataset containing nighttime images, and the
results were evaluated. The results showed that camouflaged object
detection models outperformed other models.
Atıf için künye
Kılıç, A., Tümüklü Özyer, G., Göktaş, Y., & Usanmaz, B. (2025). Evaluation Of The Performance Of Distinctive Object Detection And Camouflaged Object Detection Models Using Night Image Data. 4th Eurasian Conference on Human-Computer Interaction, Baku (ss. 33–37).
BibTeX
@inproceedings{kilic2025-176191,
author = {Kılıç, Aslıhan and Tümüklü Özyer, Gülşah and Göktaş, Yüksel and Usanmaz, Bilal},
title = {Evaluation Of The Performance Of Distinctive Object Detection And Camouflaged Object Detection Models Using Night Image Data},
booktitle = {4th Eurasian Conference on Human-Computer Interaction},
address = {Baku},
year = {2025},
pages = {33--37},
url = {https://akademik.atauni.edu.tr/yayinlar/176191-evaluation-of-the-performance-of-distinctive-object-detection-and-camouflaged}
}