Jiewen Zhu — accepted AI-conference papers

2023

AugTarget Data Augmentation for Infrared Small Target Detection

Shengjia Chen, Jiewen Zhu, Luping Ji, Hongjun Pan, Yuhao Xu

ICASSP 2023accepted

Sample shortage has always been a frequently-faced problem for the machine-learning models in infrared small target detection. As one of main limitations, it is hampering the further promotion of target detection performance. In this paper, we propose a simple and effective data augmentation scheme,…

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2023

Sanet: Spatial Attention Network with Global Average Contrast Learning for Infrared Small Target Detection

Jiewen Zhu, Shengjia Chen, Lexiao Li, Luping Ji

ICASSP 2023accepted

Infrared small target detection has always been a challenging theme, due to small target size, unconspicuous contour and texture, even low vision contrast to background. Because of these causes, some popular object detection methods, such as Faster-RCNN and YOLOV, could often lose effectiveness. Aim…

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