YOLO-TSL: A lightweight target detection algorithm for UAV infrared images based on Triplet attention and Slim-neck-Reference-Cited by-同舟云学术

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YOLO-TSL: A lightweight target detection algorithm for UAV infrared images based on Triplet attention and Slim-neck

Published:2024-09 Issue: Volume:141 Page:105487
ISSN:1350-4495
Container-title:Infrared Physics & Technology
language:en
Short-container-title:Infrared Physics & Technology

Author:

Cao Lei,Wang Qing^ORCID,Luo Yunhui,Hou Yongjie,Cao Jun,Zheng Wanglin

Publisher

Elsevier BV

Reference35 articles.

1. UAV-YOLOv8: a small-object-detection model based on improved YOLOv8 for UAV aerial photography scenarios;Wang;Sensors,2023

2. YOLO-CIR: The network based on YOLO and ConvNeXt for infrared object detection;Zhou;Infrared Phys. Technol.,2023

3. Real-time flying object detection with YOLOv8;Reis,2023

4. Multiscale patch-based contrast measure for small infrared target detection;Wei;Pattern Recognit.,2016

5. An approach to adaptive pedestrian detection and classification in infrared images based on human visual mechanism and support vector machine;Soundrapandiyan;Arab. J. Sci. Eng.,2018

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