2025-01-14-wang25c.md

title	IST-YOLO: Infrared Small Target Detector based on Improved YOLOv8
booktitle	Proceedings of the 16th Asian Conference on Machine Learning
year	2025
volume	260
series	Proceedings of Machine Learning Research
month	0
publisher	PMLR
pdf	https://raw.githubusercontent.com/mlresearch/v260/main/assets/wang25c/wang25c.pdf
url	https://proceedings.mlr.press/v260/wang25c.html
openreview	wzN3Dj0pjF
abstract	Compared with natural images, the target of a single-frame infrared small target image occupies fewer pixels, has fuzzy imaging, less shape and texture information, and a more complex background. This leads to lower detection accuracy and makes it difficult to achieve accurate target localization. Therefore, in this paper, an infrared small target detection algorithm, IST-YOLO, is proposed based on yolov8. First, our algorithm improves the structure of standard model by adding an upsampling layer and a higher resolution detection head, which has a better ability to detect small targets. Second, we designed the Adaptive Residual Module (ARM) by combining the residual structure with the frequency adaptive dilated convolution to enhance the capacity of extracting deep small target position information while retaining the rich semantic information in the shallow layers. Finally, the Local and Globa Fusion (LGFusion) module is designed to enhance the information interaction between local and global features of the model. Experiments show that the accuracy of IST-YOLO outperforms both standard and popular algorithms.
layout	inproceedings
issn	2640-3498
id	wang25c
tex_title	{IST-YOLO}: {I}nfrared Small Target Detector based on Improved YOLOv8
firstpage	399
lastpage	414
page	399-414
order	399
cycles	false
bibtex_editor	Nguyen, Vu and Lin, Hsuan-Tien
editor	given family Vu Nguyen given family Hsuan-Tien Lin
bibtex_author	Wang, Ruoyu and Li, Bicao and Wang, Bei and Niu, Danting and Wang, Yongzhao
author	given family Ruoyu Wang given family Bicao Li given family Bei Wang given family Danting Niu given family Yongzhao Wang
date	2025-01-14
address
container-title	Proceedings of the 16th Asian Conference on Machine Learning
genre	inproceedings
issued	date-parts 2025 1 14
extras