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NTIS 바로가기IEEE access : practical research, open solutions, v.8, 2020년, pp.155296 - 155305
Kim, Saehun (Korea Advanced Institute of Science and Technology, Daejeon, South Korea) , Kim, Munchurl (Korea Advanced Institute of Science and Technology, Daejeon, South Korea)
The previous counting methods trained by the density map regression scheme fail to precisely count the number of birds in crowded bird images of various scales. This is due to the coarseness of the manually created target density maps. In this paper, we propose a new counting scheme, called DAM coun...
Zhu, Liping, Li, Chengyang, Yang, Zhongguo, Yuan, Kun, Wang, Shang. Crowd density estimation based on classification activation map and patch density level. Neural computing & applications, vol.32, no.9, 5105-5116.
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