6 papers
GeoThreat: Transferable Targeted Adversarial Attacks on Large Vision-Language Models for Remote Sensing Image Interpretation
Yimin Fu, Yuefeng Bai, Baicheng Pan +2
Adversarial attacks against large vision-language models (LVLMs) serve as an effective means of assessing their robustness in cross-modal semantic understanding. Existing studies m…
Rethinking Representations for Cross-Domain Infrared Small Target Detection: A Generalizable Perspective from the Frequency Domain
Yimin Fu, Songbo Wang, Feiyan Wu +3
The accurate target-background separation in infrared small target detection (IRSTD) highly depends on the discriminability of extracted representations. However, most existing met…
Evolving from Unknown to Known: Retentive Angular Representation Learning for Incremental Open Set Recognition
Runqing Yang, Yimin Fu, Changyuan Wu +1
Existing open set recognition (OSR) methods are typically designed for static scenarios, where models aim to classify known classes and identify unknown ones within fixed scopes. T…
Collaborative Learning of Scattering and Deep Features for SAR Target Recognition with Noisy Labels
Yimin Fu, Zhunga Liu, Dongxiu Guo +1
The acquisition of high-quality labeled synthetic aperture radar (SAR) data is challenging due to the demanding requirement for expert knowledge. Consequently, the presence of unre…
Monocular Obstacle Avoidance Based on Inverse PPO for Fixed-wing UAVs
Haochen Chai, Meimei Su, Yang Lyu +3
Fixed-wing Unmanned Aerial Vehicles (UAVs) are one of the most commonly used platforms for the burgeoning Low-altitude Economy (LAE) and Urban Air Mobility (UAM), due to their long…
DOEPatch: Dynamically Optimized Ensemble Model for Adversarial Patches Generation
Wenyi Tan, Yang Li, Chenxing Zhao +2
Object detection is a fundamental task in various applications ranging from autonomous driving to intelligent security systems. However, recognition of a person can be hindered whe…