UIU-Net: U-Net in U-Net for infrared small object detection
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 …
classification backbone network. This tends to result in tiny object loss and feature …
ISNet: Shape matters for infrared small target detection
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 …
backgrounds, which has a wide range of applications such as traffic management and …
Review on recent development in infrared small target detection algorithms
Over the last decade, many algorithms have been presented on an infrared target detection
problem. This paper reviews the recent approaches in infrared small target detection …
problem. This paper reviews the recent approaches in infrared small target detection …
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=de&sa=T&oi=gga&ct=gga&cd=8&d=8761671220256160699&ei=Sb2nZ96_JNO96rQPzr6WwQQ" data-clk-atid="u7shso21l3kJ" target="_blank">[PDF] thecvf.com
Map** degeneration meets label evolution: Learning infrared small target detection with single point supervision
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 …
supervised manner has gained remarkable research interests in recent years, but is highly …
MSAFFNet: A multiscale label-supervised attention feature fusion network for infrared small target detection
X Tong, S Su, P Wu, R Guo, J Wei… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
The detection of small infrared targets with low signal-to-noise ratios (SNRs) and contrasts in
noisy and cluttered backgrounds is challenging and therefore a domain of active research …
noisy and cluttered backgrounds is challenging and therefore a domain of active research …