Infrared small target segmentation networks: A survey

R Kou, C Wang, Z Peng, Z Zhao, Y Chen, J Han… - Pattern Recognition, 2023 - Elsevier
Fast and robust small target detection is one of the key technologies in the infrared (IR)
search and tracking systems. With the development of deep learning, there are many data …

LW-IRSTNet: Lightweight infrared small target segmentation network and application deployment

R Kou, C Wang, Y Yu, Z Peng, M Yang… - … on Geoscience and …, 2023 - ieeexplore.ieee.org
Efficiently and accurately separating infrared (IR) small targets from complex backgrounds
presents a significant challenge. Numerous studies in the literature have proposed various …

A small ship object detection method for satellite remote sensing data

X Fan, Z Hu, Y Zhao, J Chen, T Wei… - IEEE Journal of …, 2024 - ieeexplore.ieee.org
Satellite remote sensing technology can achieve real-time observation of ships at sea, and
the remote sensing images obtained have the advantages of high contrast and low noise …

CFTracker: multi-object tracking with cross-frame connections in satellite videos

L Kong, Z Yan, Y Zhang, W Diao… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Multi-object tracking (MOT) in satellite videos is an essential topic with many applications,
such as traffic monitoring and disaster response. However, many multi-object trackers that …

A robust infrared small target detection method jointing multiple information and noise prediction: Algorithm and benchmark

S Meng, C Zhang, Q Shi, Z Chen… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Infrared small target detection (IRSTD) plays an important role in many military and civilian
applications. Despite the great advances made by IRSTD studies in recent years, most of the …

Sctransnet: Spatial-channel cross transformer network for infrared small target detection

S Yuan, H Qin, X Yan, N Akhtar… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
Infrared small target detection (IRSTD) has recently benefitted greatly from U-shaped neural
models. However, largely overlooking effective global information modeling, existing …

[HTML][HTML] Infrared Dim Small Target Detection Networks: A Review

Y Cheng, X Lai, Y Xia, J Zhou - Sensors, 2024 - mdpi.com
In recent years, with the rapid development of deep learning and its outstanding capabilities
in target detection, innovative methods have been introduced for infrared dim small target …

Efficient feature relation learning network for cross-spectral image patch matching

C Yu, J Zhao, Y Liu, S Wu, C Li - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Recently, cross-spectral image patch matching methods based on feature difference
aggregation have achieved excellent performance, but they introduce a large number of …

The First Competition on Resource-Limited Infrared Small Target Detection Challenge: Methods and Results

B Li, X Ying, R Li, Y Liu, Y Shi, M Li - arXiv preprint arXiv:2408.09615, 2024 - arxiv.org
In this paper, we briefly summarize the first competition on resource-limited infrared small
target detection (namely, LimitIRSTD). This competition has two tracks, including weakly …

Infrared small target detection based on adjustable sensitivity strategy and multi-scale fusion

J Zhao, Z Shi, C Yu, Y Liu - arXiv preprint arXiv:2407.20090, 2024 - arxiv.org
Recently, deep learning-based single-frame infrared small target (SIRST) detection
technology has made significant progress. However, existing infrared small target detection …