LCFF-Net: A lightweight cross-scale feature fusion network for tiny target detection in UAV aerial imagery.

ABSTRACT: In the field of UAV aerial image processing, ensuring accurate detection of tiny targets is essential. Current UAV aerial image target detection algorithms face challenges such as low computational demands, high accuracy, and fast detection speeds. To address these issues, we propose an improved, lightweight algorithm: LCFF-Net. First, we propose the LFERELAN module, designed to enhance the extraction of tiny target features and optimize the use of computational resources. Second, a lightweight cross-scale feature pyramid network (LC-FPN) is employed to further enrich feature information, integrate multi-level feature maps, and provide more comprehensive semantic information. Finally, to increase model training speed and achieve greater efficiency, we propose a lightweight, detail-enhanced

SUBMITTER: Tang D 

PROVIDER: S-EPMC11658636 | biostudies-literature | 2024

REPOSITORIES: biostudies-literature