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pro vyhledávání: '"Ming, Zhangqiang"'
In recent years, segmentation methods based on deep convolutional neural networks (CNNs) have made state-of-the-art achievements for many medical analysis tasks. However, most of these approaches improve performance by optimizing the structure or add
Externí odkaz:
http://arxiv.org/abs/2110.14484
Autor:
Ming, Zhangqiang, Zhu, Min, Wang, Xiangkun, Zhu, Jiamin, Cheng, Junlong, Gao, Chengrui, Yang, Yong, Wei, Xiaoyong
In recent years, with the increasing demand for public safety and the rapid development of intelligent surveillance networks, person re-identification (Re-ID) has become one of the hot research topics in the computer vision field. The main research g
Externí odkaz:
http://arxiv.org/abs/2110.04764
Autor:
Ming, Zhangqiang, Yang, Yong, Wei, Xiaoyong, Yan, Jianrong, Wang, Xiangkun, Wang, Fengjie, Zhu, Min
The misalignment of human images caused by bounding box detection errors or partial occlusions is one of the main challenges in person Re-Identification (Re-ID) tasks. Previous local-based methods mainly focus on learning local features in predefined
Externí odkaz:
http://arxiv.org/abs/2109.05759
Autor:
Ming, Zhangqiang, Zhu, Min, Wang, Xiangkun, Zhu, Jiamin, Cheng, Junlong, Gao, Chengrui, Yang, Yong, Wei, Xiaoyong
Publikováno v:
In Image and Vision Computing March 2022 119
Akademický článek
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