Multi-Source Multi-Scale Counting in Extremely Dense Crowd Images(CVPR2013)——论文笔记
这篇论文和之前看过的论文不一样。本文是基于传统的机器学习、统计学和频域分析等方法，而之前看的论文都是基于深度学习且都是卷积神经网络。主要是由于这篇论文是2013年的。 1 Abstract Our approach relies on multiple sources such as low confidence head detections, repetition of texture ele
相关文章
- 1. 论文解读《Deep People Counting in Extremely Dense Crowds》ACM MM2015
- 2. 论文解读《CrowdNet: A Deep Convolutional Network for Dense Crowd Counting》ACMM-MM2016
- 3. [论文笔记 CVPR2020]Attention Scaling for Crowd Counting
- 4. 论文笔记——Body Structure Aware Deep Crowd Counting
- 5. 论文解读《Almost Unsupervised Learning for Dense Crowd Counting》AAAI2019
- 6. 【论文笔记】Learning from Synthetic Data for Crowd Counting in the Wild
- 7. 论文理解《Dense crowd counting from still images with convolutional neural networks》
- 8. Scale-Aware Attention Network for Crowd Counting 论文笔记
- 9. 《LOCALITY-CONSTRAINED SPATIAL TRANSFORMER NETWORKFOR VIDEO CROWD COUNTING》论文笔记
- 10. 【论文笔记】Single-Image Crowd Counting via Multi-Column Convolutional Neural Network
- 更多相关文章...
- • SQL IN 操作符 - SQL 教程
- • Swift for-in 循环 - Swift 教程
- • Tomcat学习笔记（史上最全tomcat学习笔记）
- • Scala 中文乱码解决
相关标签/搜索
每日一句
-
每一个你不满意的现在，都有一个你没有努力的曾经。
欢迎关注本站公众号,获取更多信息
相关文章
- 1. 论文解读《Deep People Counting in Extremely Dense Crowds》ACM MM2015
- 2. 论文解读《CrowdNet: A Deep Convolutional Network for Dense Crowd Counting》ACMM-MM2016
- 3. [论文笔记 CVPR2020]Attention Scaling for Crowd Counting
- 4. 论文笔记——Body Structure Aware Deep Crowd Counting
- 5. 论文解读《Almost Unsupervised Learning for Dense Crowd Counting》AAAI2019
- 6. 【论文笔记】Learning from Synthetic Data for Crowd Counting in the Wild
- 7. 论文理解《Dense crowd counting from still images with convolutional neural networks》
- 8. Scale-Aware Attention Network for Crowd Counting 论文笔记
- 9. 《LOCALITY-CONSTRAINED SPATIAL TRANSFORMER NETWORKFOR VIDEO CROWD COUNTING》论文笔记
- 10. 【论文笔记】Single-Image Crowd Counting via Multi-Column Convolutional Neural Network