PGFD-YOLO: A dual-modal object detection framework with progressive gated fusion and foreground-guided distillation.

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Bibliographic Details
Title: PGFD-YOLO: A dual-modal object detection framework with progressive gated fusion and foreground-guided distillation.
Authors: Liu S; School of information, Yunnan Normal University, Kunming, China. Electronic address: 2043205000194@ynnu.edu.cn., Yun L; Department of Education of Yunnan Province, Yunnan Normal University, Kunming, China. Electronic address: yunlijun@ynnu.edu.cn.
Source: Journal of environmental management [J Environ Manage] 2026 Jun 15; Vol. 410, pp. 130053. Date of Electronic Publication: 2026 May 28.
Publication Type: Journal Article
Journal Info: Publisher: Academic Press Country of Publication: England NLM ID: 0401664 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1095-8630 (Electronic) Linking ISSN: 03014797 NLM ISO Abbreviation: J Environ Manage Subsets: MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:1095-8630
DOI:10.1016/j.jenvman.2026.130053