7 papers
MEC-Patch: Visible-Infrared Cross-Modal Adversarial Attack Driven by Intrinsic Material Emissivity Laws
Zhixiang Huang, Xinbo Nie, Wenxuan Wang +4
With the widespread deployment of visible-infrared multimodal perception systems in safety-critical domains such as autonomous driving, evaluating their cross-modal adversarial rob…
UniRef-UAV: A Multimodal Benchmark for Universal Referring in UAV Imagery
Haibin Tian, Huichao Xie, Xuelin Qian +3
Unmanned aerial vehicles (UAVs) increasingly rely on visual grounding capabilities to localize task-relevant targets from diverse instructions in complex aerial scenes. Existing re…
IrisNet: Infrared Image Status Awareness Meta Decoder for Infrared Small Targets Detection
Xuelin Qian, Jiaming Lu, Zixuan Wang +4
Infrared Small Target Detection (IRSTD) faces significant challenges due to low signal-to-noise ratios, complex backgrounds, and the absence of discernible target features. While d…
Dual-Granularity Semantic Prompting for Language Guidance Infrared Small Target Detection
Zixuan Wang, Haoran Sun, Jiaming Lu +5
Infrared small target detection remains challenging due to limited feature representation and severe background interference, resulting in sub-optimal performance. While recent CLI…
Sustainable Self-evolution Adversarial Training
Wenxuan Wang, Chenglei Wang, Huihui Qi +4
With the wide application of deep neural network models in various computer vision tasks, there has been a proliferation of adversarial example generation strategies aimed at deepl…
Dynamic Dual-level Defense Routing for Continual Adversarial Training
Wenxuan Wang, Chenglei Wang, Xuelin Qian
As adversarial attacks continue to evolve, defense models face the risk of recurrent vulnerabilities, underscoring the importance of continuous adversarial training (CAT). Existing…