ISSN2320-2882
Impact Factor9.17
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ESTD2013
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Paper Title
Camouflage Object Detection Using SINet-V2
Authors
Prof.Mahjabeen , Mr.Rakesh , Mr.Pratik , Mr.Rahul
Keywords
Camouflaged Object Detection, SiNet-V2, Deep Learning, Image Segmentation, Computer Vision.
Abstract
Camouflage Object Detection is a challenging problem in computer vision due to the high visual similarity between target objects and their surrounding environments. Conventional object detection methods often exhibit degraded performance in camouflage scenarios because of weak object boundaries, low contrast, and complex background textures. This paper presents a segmentation-based camouflaged object detection framework using the SiNet-V2 deep neural network architecture. The proposed approach performs pixel-level segmentation to accurately localize camouflaged regions in input images. The model was trained and evaluated on publicly available benchmark datasets.
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IJCRT — journal style
"Camouflage Object Detection Using SINet-V2", IJCRT - International Journal of Creative Research Thoughts (www.ijcrt.org), ISSN:2320-2882, Vol.13, Issue 12, page no.g766-g772, December 2025, Available :https://ijcrt.org/papers/IJCRT2512759.pdf
APA — 7th edition
Prof.Mahjabeen, Mr.Rakesh, Mr.Pratik, & Mr.Rahul. (2025). Camouflage Object Detection Using SINet-V2. International Journal of Creative Research Thoughts, 13(12), g766-g772. https://doi.org/10.56975/ijcrt.v13i12.299347
MLA — 9th edition
Prof.Mahjabeen, et al. "Camouflage Object Detection Using SINet-V2." International Journal of Creative Research Thoughts, vol. 13, no. 12, 2025, pp. g766-g772, https://doi.org/10.56975/ijcrt.v13i12.299347.
Chicago — 17th, bibliography
Prof.Mahjabeen, et al. "Camouflage Object Detection Using SINet-V2." International Journal of Creative Research Thoughts 13, no. 12 (2025): g766-g772. https://doi.org/10.56975/ijcrt.v13i12.299347.
Harvard — author–date
Prof.Mahjabeen et al. (2025) 'Camouflage Object Detection Using SINet-V2', International Journal of Creative Research Thoughts, 13(12), pp. g766-g772. Available at: https://doi.org/10.56975/ijcrt.v13i12.299347
IEEE — numbered reference
Prof.Mahjabeen, Mr.Rakesh, Mr.Pratik and Mr.Rahul, "Camouflage Object Detection Using SINet-V2," IJCRT, vol. 13, no. 12, pp. g766-g772, Dec. 2025, doi: 10.56975/ijcrt.v13i12.299347.
Vancouver — biomedical
Prof.Mahjabeen, Mr.Rakesh, Mr.Pratik, Mr.Rahul. Camouflage Object Detection Using SINet-V2. IJCRT. 2025 Dec;13(12):g766-g772. doi: 10.56975/ijcrt.v13i12.299347
AMA — 11th edition
Prof.Mahjabeen, Mr.Rakesh, Mr.Pratik, Mr.Rahul. Camouflage Object Detection Using SINet-V2. IJCRT. 2025;13(12):g766-g772. doi:10.56975/ijcrt.v13i12.299347
BibTeX — Zotero, Mendeley, LaTeX
@article{IJCRT2512759,
author = {Prof.Mahjabeen and Mr.Rakesh and Mr.Pratik and Mr.Rahul},
title = {Camouflage Object Detection Using SINet-V2},
journal = {International Journal of Creative Research Thoughts},
volume = {13},
number = {12},
pages = {g766-g772},
year = {2025},
month = {December},
issn = {2320-2882},
doi = {10.56975/ijcrt.v13i12.299347},
url = {https://doi.org/10.56975/ijcrt.v13i12.299347}
}
RIS — EndNote, RefWorks
TY - JOUR
AU - Prof.Mahjabeen
AU - Mr.Rakesh
AU - Mr.Pratik
AU - Mr.Rahul
TI - Camouflage Object Detection Using SINet-V2
T2 - International Journal of Creative Research Thoughts
JA - IJCRT
VL - 13
IS - 12
PY - 2025
SN - 2320-2882
DO - 10.56975/ijcrt.v13i12.299347
UR - https://doi.org/10.56975/ijcrt.v13i12.299347
SP - g766-g772
ER -
Issue
Volume 13 Issue 12,
December-2025
Pages : g766-g772
Article Information
- Published In
- International Journal of Creative Research Thoughts — Volume 13, Issue 12, December 2025
- Pages
- g766-g772
- Published
- December 2025
- Registration ID
- IJCRT_299347
- Published Paper ID
- IJCRT2512759
- Research Area
- Science and Technology
- Author Type
- Indian Author
- Location
- Raichur, Karnataka, India
- Peer Review
- Request Peer Review Report
- Licence
- CC BY 4.0 · Open Access
- ISSN & Impact Factor
- 2320-2882 · IF 9.17
- Downloads
- 246
- Permanent Link
- https://ijcrt.org/viewpaperforall.php?paper=IJCRT2512759
- Published Paper PDF
- https://ijcrt.org/papers/IJCRT2512759.pdf
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International Journal of Creative Research Thoughts
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2320-2882
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The authors would like to thank the reviewers and the editorial board of International Journal of Creative Research Thoughts for their careful reading and constructive comments, and all colleagues who supported the preparation of this manuscript.
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