【论文笔记】Single-Image Crowd Counting via Multi-Column Convolutional Neural Network
Single-Image Crowd Counting via Multi-Column Convolutional Neural Network是CVPR2016的一篇论文。 Abstract 本文旨在开发一种方法，该方法可以从具有任意人群密度和任意角度的单个图像准确估计人群数量。为此，我们提出了一种简单高效的多列卷积神经网（MCNN）架构，以预测人群密度图。MCNN允许输入图像具有任意大小或分
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相关文章
- 1. 论文笔记：Switching Convolutional Neural Network for Crowd Counting
- 2. 人群计数：Single-Image Crowd Counting via Multi-Column Convolutional Neural Network(CVPR2016)
- 3. 人群计数--Single-Image Crowd Counting via Multi-Column Convolutional Neural Network
- 4. 《Multi-scale Convolutional Neural Networks for Crowd Counting》论文笔记
- 5. [论文笔记 CVPR2020]Attention Scaling for Crowd Counting
- 6. Scale-Aware Attention Network for Crowd Counting 论文笔记
- 7. 【论文阅读笔记】Relation Classification via Convolutional Deep Neural Network
- 8. Relation Classification via Convolutional Deep Neural Network 论文笔记
- 9. 论文笔记之《Event Extraction via Dynamic Multi-Pooling Convolutional Neural Network》
- 10. 人群计数--Cross-scene Crowd Counting via Deep Convolutional Neural Networks