Enhancing Fire and Smoke Detection with YOLOv8: A Comparative Study of Self-Supervised Learning and Attention Mechanisms

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Abstract

Description

Keywords

Self-Supervised Learning, Object Detection, Simclr, Yolov8, Attention Mechanism, Fire and Smoke Detection

Fields of Science

0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology

Citation

WoS Q

Scopus Q

Source

International Conference on Computer Science and Engineering, UBMK -- 10th International Conference on Computer Science and Engineering, UBMK 2025 -- 17 September 2025 through 21 September 2025 -- Istanbul -- 214243

Volume

Issue

2025

Start Page

1036

End Page

1041

URI

https://hdl.handle.net/20.500.12573/5832
 https://doi.org/10.1109/UBMK67458.2025.11206954

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