論文理解《Learning from Synthetic Data for Crowd Counting in the Wild》
CVPR2019 主頁： https://gjy3035.github.io/GCC-CL/index.html 才發現之前一直看的人羣計數總結也是這位作者的： https://github.com/gjy3035/Awesome-Crowd-Counting#GWTA-CCNN ，很贊！ 解決問題：真實場景中存在多變的環境、更擁擠的人羣，現存的方法不能很好解決問題；除此之外，因爲數據的
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相關文章
- 1. 【論文筆記】Learning from Synthetic Data for Crowd Counting in the Wild
- 2. 人羣計數：SFCN--Learning from Synthetic Data for Crowd Counting in the Wild
- 3. 論文理解Leveraging Unlabeled Data for Crowd Counting by Learning to Rank
- 4. [論文筆記 ECCV2020] Learning to Count in the Crowd from Limited Labeled Data
- 5. Learning from Synthetic Data: Addressing Domain Shift for Semantic Segmentation
- 6. 論文解讀《Almost Unsupervised Learning for Dense Crowd Counting》AAAI2019
- 7. 論文理解《Dense crowd counting from still images with convolutional neural networks》
- 8. 論文解讀《Density-Aware Multi-Task Learning for Crowd Counting》IEEE Transactions on MultiMedia2020
- 9. 論文《ResnetCrowd: A Residual Deep Learning Architecture for Crowd Counting, Violent Behaviour Detecti》
- 10. [論文筆記 CVPR2020]Attention Scaling for Crowd Counting