Infrared small target detection (IRSTD) is a challenging task due to the extremely small size of targets, low signal-to-noise ratios, and heavy background clutter in infrared imagery. While the progress of deep learning has advanced this field, existing methods primarily adopt discriminative paradigms that directly map...
Xue-Lin Qian, Zi-Xuan Wang, Chang Xu et al.· 0 citations
MEC-Patch is proposed, a cross-modal adversarial attack framework driven by intrinsic physical laws that effectively deceives state-of-the-art multimodal detectors and exhibits high robustness within high-fidelity, physically-consistent, and multi-scene simulation environments.
Zhi-Xiang Huang, Xinbo Nie, Wen-Xuan Wang et al.· 0 citations
This work introduces Universal Referring, a generalized UAV referring task that jointly expands the query modality and the output cardinality, and presents UAV-URNet, a detection-style baseline that maps heterogeneous queries into a shared query space and predicts variable-size target sets through set prediction.