人羣密度估計--CSRNet: Dilated Convolutional Neural Networks for Understanding the Highly Congested Scenes
CSRNet: Dilated Convolutional Neural Networks for Understanding the Highly Congested Scenes CVPR2018 針對複雜場景的擁擠場景理解我們提出了一個 CSRNet 網絡，該網絡主要包括兩個部分，前端使用一個 卷積網絡用於 2D 特徵提取，後端用一個 dilated CNN。 該網絡在幾個常用的公開人羣密度
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相關文章
- 1. CSRNet: Dilated Convolutional Neural Networks for Understanding the Highly Congested Scenes
- 2. Summary - CSRNet: Dilated Convolutional Neural Networks for Understanding the Highly
- 3. CSRNet: Dilated Convolutional Neural Networks for Understanding the Highly Congested Scenes2018—論文筆記
- 4. 人羣密度估計--Fully Convolutional Crowd Counting On Highly Congested Scenes
- 5. 基於CSRnet的高密度人羣的人羣估計
- 6. 快速人羣密度估計--Multi-scale Convolutional Neural Networks for Crowd Counting
- 7. 人羣密度估計近年來頂會文章
- 8. Understanding Convolutional Neural Networks for NLP
- 9. [轉] Understanding Convolutional Neural Networks for NLP
- 10. 人羣密度估計 CrowdCount