人群密度估计--Learning from Synthetic Data for Crowd Counting in the Wild

冷不防 2021-12-03 20:41 242阅读 0赞

用GTA5生成带准确标注的数据集，awosome

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两种利用合成数据的方法（上、下）

1) 在合成数据集预训练，在现实数据集微调，显著的提升了模型的现实性能。

2)提出一个基于迁移学习的人群计数方法，能从数据标注解放人力

![watermark_type_ZmFuZ3poZW5naGVpdGk_shadow_10_text_aHR0cHM6Ly9ibG9nLmNzZG4ubmV0L2N4bTQzOTk_size_16_color_FFFFFF_t_70 1][]

[http://muyaan.com/2019/03/27/CVPR-2019%E4%BA%BA%E7%BE%A4%E8%AE%A1%E6%95%B0-Learning-from-Synthetic-Data-for-Crowd-Counting-in-the-Wild/][http_muyaan.com_2019_03_27_CVPR-2019_E4_BA_BA_E7_BE_A4_E8_AE_A1_E6_95_B0-Learning-from-Synthetic-Data-for-Crowd-Counting-in-the-Wild]

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[http_muyaan.com_2019_03_27_CVPR-2019_E4_BA_BA_E7_BE_A4_E8_AE_A1_E6_95_B0-Learning-from-Synthetic-Data-for-Crowd-Counting-in-the-Wild]: http://muyaan.com/2019/03/27/CVPR-2019%E4%BA%BA%E7%BE%A4%E8%AE%A1%E6%95%B0-Learning-from-Synthetic-Data-for-Crowd-Counting-in-the-Wild/