Cross-scale generative adversarial network for crowd density estimation from images

This research develops a cross-scale convolutional spatial generative adversarial network (CSGAN), in order to estimate the crowd density from images accurately. It consists of two similar generators, one for the whole feature extraction, and the other for patch scale feature extraction. An encoder–...

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Main Authors: Zhang, Gaowei, Pan, Yue, Zhang, Limao, Tiong, Robert Lee Kong
其他作者: School of Civil and Environmental Engineering
格式: Article
語言:English
出版: 2022
主題:
在線閱讀:https://hdl.handle.net/10356/161128
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