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 …

LR-Net: a lightweight and robust network for infrared small target detection

C Yu, Y Liu, J Zhao, Z Shi - arXiv preprint arXiv:2408.02780, 2024 - arxiv.org
Limited by equipment limitations and the lack of target intrinsic features, existing infrared
small target detection methods have difficulty meeting actual comprehensive performance …

ICPR 2024 Competition on Resource-Limited Infrared Small Target Detection Challenge: Methods and Results

B Li, X Ying, R Li, Y Liu, Y Shi, M Li, X Zhang… - … Conference on Pattern …, 2024 - Springer
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 …

Refined infrared small target detection scheme with single-point supervision

J Zhao, Z Shi, C Yu, Y Liu - arXiv preprint arXiv:2408.02773, 2024 - arxiv.org
Recently, infrared small target detection with single-point supervision has attracted
extensive attention. However, the detection accuracy of existing methods has difficulty …

[HTML][HTML] MAFNet: A Multi-scale Aligned Fusion Network for infrared small target detection

Z Wang, F Zhou, P Lu, W Zheng, F Hao, J Yin - Neurocomputing, 2025 - Elsevier
Infrared small target detection (IRSTD) is a challenging problem that separates small targets
from complex background. Existing IRSTD methods all only utilize the slightly barren single …

From Easy to Hard: Progressive Active Learning Framework for Infrared Small Target Detection with Single Point Supervision

C Yu, J Zhao, Y Liu, S Zhao, X Yue - arXiv preprint arXiv:2412.11154, 2024 - arxiv.org
Recently, single-frame infrared small target (SIRST) detection with single point supervision
has drawn wide-spread attention. However, the latest label evolution with single point …