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論文理解《Learning from Synthetic Data for Crowd Counting in the Wild》
時間 2020-12-23
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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.
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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
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