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20232026
most citedPredicting Gradient is Better: Exploring Self-Supervised Learning for SAR ATR with a Joint-Embedding Predictive Architecture

71 citations · 106 across the 10 of their papers we have counts for

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Showing 2024Show all

5 papers · 1 filter

eess.IV2024

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…

cs.CV2024

UEVAVD: A Dataset for Developing UAV's Eye View Active Object Detection

Xinhua Jiang, Tianpeng Liu, Li Liu +2

Occlusion is a longstanding difficulty that challenges the UAV-based object detection. Many works address this problem by adapting the detection model. However, few of them exploit…

cs.CV2024

Step-wise Distribution Alignment Guided Style Prompt Tuning for Source-free Cross-domain Few-shot Learning

Huali Xu, Li Liu, Tianpeng Liu +3

Existing cross-domain few-shot learning (CDFSL) methods, which develop source-domain training strategies to enhance model transferability, face challenges with large-scale pre-trai…

cs.CV2024

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…

cs.CV2024★ 17 cited

Towards Assessing the Synthetic-to-Measured Adversarial Vulnerability of SAR ATR

Bowen Peng, Bo Peng, Jingyuan Xia +3

Recently, there has been increasing concern about the vulnerability of deep neural network (DNN)-based synthetic aperture radar (SAR) automatic target recognition (ATR) to adversar…