论文理解《Learning from Synthetic Data for Crowd Counting in the Wild》
CVPR2019 主页： https://gjy3035.github.io/GCC-CL/index.html 才发现之前一直看的人群计数总结也是这位作者的： https://github.com/gjy3035/Awesome-Crowd-Counting#GWTA-CCNN ，很赞！ 解决问题：真实场景中存在多变的环境、更拥挤的人群，现存的方法不能很好解决问题；除此之外，因为数据的
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相关文章
- 1. 【论文笔记】Learning from Synthetic Data for Crowd Counting in the Wild
- 2. 人群计数：SFCN--Learning from Synthetic Data for Crowd Counting in the Wild
- 3. 论文理解Leveraging Unlabeled Data for Crowd Counting by Learning to Rank
- 4. [论文笔记 ECCV2020] Learning to Count in the Crowd from Limited Labeled Data
- 5. Learning from Synthetic Data: Addressing Domain Shift for Semantic Segmentation
- 6. 论文解读《Almost Unsupervised Learning for Dense Crowd Counting》AAAI2019
- 7. 论文理解《Dense crowd counting from still images with convolutional neural networks》
- 8. 论文解读《Density-Aware Multi-Task Learning for Crowd Counting》IEEE Transactions on MultiMedia2020
- 9. 论文《ResnetCrowd: A Residual Deep Learning Architecture for Crowd Counting, Violent Behaviour Detecti》
- 10. [论文笔记 CVPR2020]Attention Scaling for Crowd Counting