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YOLO-AVF: an improved forest fire detection algorithm based on YOLOv11

Based on the improved you only look once version 11 (YOLOv11) algorithm, this paper proposes a forest fire detection (YOLO-AVF) model. It introduces an attention-enhanced interactive feature integration (AIFI) module to strengthen high-level semantic feature expression. The model employs a cross-sta...

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Principais autores: SHEN Zhigang, ZHANG Xiangfen, NAN Diyin, YUAN Feiniu
Format: Artigo
Sprog:Inglês
Udgivet: Academic Journals Center of Shanghai Normal University 2026-04-01
Serier:上海师范大学学报. 自然科学版
Fag:
you only look once version 11(yolov11);forest fire detection;object detection;frequency-adaptive dilated detection module (fadd) module
Online adgang:http://shnu.ijournals.cn/zrkxb/shsfqkszrb/ch/reader/view_abstract.aspx?file_no=20260201
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