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SDDNet: Infrared small and dim target detection network

Long, Ma, Cong, Shu, Shanshan, Huang, Zoujian, Wei, Xuhao, Wang, Yanxi, Wei (2023) SDDNet: Infrared small and dim target detection network. CAAI Transactions on Intelligence Technology, 8 (4). pp. 1226-1236. ISSN 2468-2322. (doi:10.1049/cit2.12165) (KAR id:104688)


This study focuses on developing deep learning methods for small and dim target detection. We model infrared images as the union of the target region and background region. Based on this model, the target detection problem is considered a two‐class segmentation problem that divides an image into the target and background. Therefore, a neural network called SDDNet for single‐frame images is constructed. The network yields target extraction results according to the original images. For multiframe images, a network called IC‐SDDNet, a combination of SDDNet and an interframe correlation network module is constructed. SDDNet and IC‐SDDNet achieve target detection rates close to 1 on typical datasets with very low false positives, thereby performing significantly better than current methods. Both models can be executed end to end, so both are very convenient to use, and their implementation efficiency is very high. Average speeds of 540+/230+ FPS and 170+/60+ FPS are achieved with SDDNet and IC‐SDDNet on a single Tesla V100 graphics processing unit and a single Jetson TX2 embedded module respectively. Additionally, neither network needs to use future information, so both networks can be directly used in real‐time systems. The well‐trained models and codes used in this study are available at

Item Type: Article
DOI/Identification number: 10.1049/cit2.12165
Uncontrolled keywords: artificial intelligence; computer networks and communications; computer vision and pattern recognition; human-computer interaction; information systems; deep learning; detection of moving objects
Subjects: Q Science
Divisions: Divisions > Division of Computing, Engineering and Mathematical Sciences > School of Computing
SWORD Depositor: JISC Publications Router
Depositing User: JISC Publications Router
Date Deposited: 22 Jan 2024 15:50 UTC
Last Modified: 23 Jan 2024 08:55 UTC
Resource URI: (The current URI for this page, for reference purposes)

University of Kent Author Information

Yanxi, Wei.

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