【論文筆記】Single-Image Crowd Counting via Multi-Column Convolutional Neural Network
Single-Image Crowd Counting via Multi-Column Convolutional Neural Network是CVPR2016的一篇論文。 Abstract 本文旨在開發一種方法，該方法可以從具有任意人羣密度和任意角度的單個圖像準確估計人羣數量。爲此，我們提出了一種簡單高效的多列卷積神經網（MCNN）架構，以預測人羣密度圖。MCNN允許輸入圖像具有任意大小或分
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相關文章
- 1. 論文筆記：Switching Convolutional Neural Network for Crowd Counting
- 2. 人羣計數：Single-Image Crowd Counting via Multi-Column Convolutional Neural Network(CVPR2016)
- 3. 人羣計數--Single-Image Crowd Counting via Multi-Column Convolutional Neural Network
- 4. 《Multi-scale Convolutional Neural Networks for Crowd Counting》論文筆記
- 5. [論文筆記 CVPR2020]Attention Scaling for Crowd Counting
- 6. Scale-Aware Attention Network for Crowd Counting 論文筆記
- 7. 【論文閱讀筆記】Relation Classification via Convolutional Deep Neural Network
- 8. Relation Classification via Convolutional Deep Neural Network 論文筆記
- 9. 論文筆記之《Event Extraction via Dynamic Multi-Pooling Convolutional Neural Network》
- 10. 人羣計數--Cross-scene Crowd Counting via Deep Convolutional Neural Networks