no code implementations • 28 Dec 2023 • Wenyi Tan, Yang Li, Chenxing Zhao, ZhunGa Liu, Quan Pan
While ensemble models have proven effective, current research in the field of object detection typically focuses on the simple fusion of the outputs of all models, with limited attention being given to developing general adversarial patches that can function effectively in the physical world.
no code implementations • 23 Apr 2022 • Tiancheng Li, Zheng Hu, ZhunGa Liu, Xiaoxu Wang
A multi-sensor fusion Student's $t$ filter is proposed for time-series recursive estimation in the presence of heavy-tailed process and measurement noises.
no code implementations • 7 Mar 2021 • Zaidao Wen, Jiaxiang Liu, ZhunGa Liu, Quan Pan
This letter presents a novel framework termed DistSTN for the task of synthetic aperture radar (SAR) automatic target recognition (ATR).