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 …

UIU-Net: U-Net in U-Net for infrared small object detection

X Wu, D Hong, J Chanussot - IEEE Transactions on Image …, 2022 - ieeexplore.ieee.org
Learning-based infrared small object detection methods currently rely heavily on the
classification backbone network. This tends to result in tiny object loss and feature …

ISNet: Shape matters for infrared small target detection

M Zhang, R Zhang, Y Yang, H Bai… - Proceedings of the …, 2022 - openaccess.thecvf.com
Infrared small target detection (IRSTD) refers to extracting small and dim targets from blurred
backgrounds, which has a wide range of applications such as traffic management and …

Dense nested attention network for infrared small target detection

B Li, C **_Degeneration_Meets_Label_Evolution_Learning_Infrared_Small_Target_Detection_CVPR_2023_paper.pdf" data-clk="hl=hu&sa=T&oi=gga&ct=gga&cd=9&d=8761671220256160699&ei=XFKuZ_jkMIC96rQP29mI6AY" data-clk-atid="u7shso21l3kJ" target="_blank">[PDF] thecvf.com

Map** degeneration meets label evolution: Learning infrared small target detection with single point supervision

X Ying, L Liu, Y Wang, R Li, N Chen… - Proceedings of the …, 2023 - openaccess.thecvf.com
Training a convolutional neural network (CNN) to detect infrared small targets in a fully
supervised manner has gained remarkable research interests in recent years, but is highly …