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 novel multi-modal ReID framework built upon Prompt-S6 (PS6) and semantic-aware knowledge guidance, which generates more robust multi-modal representations under complex scenarios and leverages semantic priors from the segmentation foundation models.
Wei-Xiang Zhou, Jiabei Zuo, Yu-Hao Wang et al.· IEEE Transactions on Image P...· 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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