74 citations · 106 across the 9 of their papers we have counts for
9 papers
MaDiNet: Mamba Diffusion Network for SAR Target Detection
Jie Zhou, Chao Xiao, Bowen Peng +4
The fundamental challenge in SAR target detection lies in developing discriminative, efficient, and robust representations of target characteristics within intricate non-cooperativ…
Enhancing Transferability of Targeted Adversarial Examples: A Self-Universal Perspective
Bowen Peng, Li Liu, Tianpeng Liu +2
Transfer-based targeted adversarial attacks against black-box deep neural networks (DNNs) have been proven to be significantly more challenging than untargeted ones. The impressive…
Cross Domain Object Detection via Multi-Granularity Confidence Alignment based Mean Teacher
Jiangming Chen, Li Liu, Wanxia Deng +4
Cross domain object detection learns an object detector for an unlabeled target domain by transferring knowledge from an annotated source domain. Promising results have been achiev…
A Dynamic Kernel Prior Model for Unsupervised Blind Image Super-Resolution
Zhixiong Yang, Jingyuan Xia, Shengxi Li +5
Deep learning-based methods have achieved significant successes on solving the blind super-resolution (BSR) problem. However, most of them request supervised pre-training on labell…
DiffDet4SAR: Diffusion-based Aircraft Target Detection Network for SAR Images
Zhou Jie, Xiao Chao, Peng Bo +4
Aircraft target detection in SAR images is a challenging task due to the discrete scattering points and severe background clutter interference. Currently, methods with convolution-…
Worst-Case Riemannian Optimization with Uncertain Target Steering Vector for Slow-Time Transmit Sequence of Cognitive Radar
Xinyu Zhang, Weidong Jiang, Xiangfeng Qiu +1
Optimization of slow-time transmit sequence endows cognitive radar with the ability to suppress strong clutter in the range-Doppler domain. However, in practice, inaccurate target…