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–...
Saved in:
Main Authors: | , , , |
---|---|
其他作者: | |
格式: | Article |
語言: | English |
出版: |
2022
|
主題: | |
在線閱讀: | https://hdl.handle.net/10356/161128 |
標簽: |
添加標簽
沒有標簽, 成為第一個標記此記錄!
|
成為第一個發表評論!