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 …

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 …

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 …

Multi-branch Mutual-guiding Learning for Infrared Small Target Detection

Q Li, W Zhang, W Lu, Q Wang - IEEE Transactions on …, 2025 - ieeexplore.ieee.org
At present, many infrared target detection approaches focus on designing modules that
address the two key characteristics of targets: their weak signals and small size. However …

Paying more attention to local contrast: improving infrared small target detection performance via prior knowledge

P Wang, J Wang, Y Chen, R Zhang, Y Li… - arXiv preprint arXiv …, 2024 - arxiv.org
The data-driven method for infrared small target detection (IRSTD) has achieved promising
results. However, due to the small scale of infrared small target datasets and the limited …

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 …