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.· 0 citations
Multi-modal object Re-Identification (ReID) aims to retrieve specific objects by integrating complementary information from multiple modalities. However, existing multi-modal ReID methods do not effectively address background interference suppression or achieve tri-modal alignment, instead focusing on pairwise feature...
Weixiang Zhou, Jiabei Zuo, Yuhao 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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