As a fundamental image processing task, object Re-Identification (ReID) aims to retrieve objects across non-overlapping cameras. Recently, with the development of deep learning, significant advancements have been made in object ReID. However, most existing methods suffer from generalization due to the limited size and...
Ying-Quan Wang, Ping-Ping Zhang, Dong Wang et al.· IEEE Transactions on Image P...· 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
This work proposes a distributed Multiagent Energy-saving Autonomous Exploration System (MEAES), and devise the consumption-exploration-balanced training framework (CEBF), which guides agents to transform from lazy exploration to energy-saving exploration strategies through dynamic reward shaping.
Yang Liu, Peng Zhang, Yan-Ting Li et al.· IEEE Transactions on Neural...· 0 citations
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