Multi-modal object re-identification exploits complementary RGB, near-infrared (NIR), and thermal-infrared (TIR) observations to retrieve target objects. However, existing methods commonly employ visual encoders optimized for global image-text alignment and select tokens using learned importance scores. Such designs fa...
Wan-Ke Xia, Rui-Ding Zhu, Xing-Guo Xu et al.· 0 citations
This work proposes a novel framework centered on Positive-Incentive Noise and structured prompt modulation that harnesses task-aware {\pi}-noise, sampled from a distribution conditioned on both visual and text inputs, to perturb global tokens and enable semantics-guided cross-modal compensation.
Wei-Xiang Zhou, Yu-Hao Wang, Xing-Guo Xu et al.· 0 citations
A robust multi-modal ReID framework with dual semantic guidance and global-local mutual modulation, which mainly consists of three key components, namely the Text-Semantic Injector (TSI), the Masked Global-Local Modulator (MGLM), and the Hierarchical MoE Fusion (HMF).
Wei-Xiang Zhou, Xing-Guo Xu, Yu-Hao Wang et al.· IEEE transactions on circuit...· 0 citations
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