Pushing the Limits of Deep CNNs for Pedestrian Detection

时间 2020-08-04

标签 pushing limits deep cnns pedestrian detection 繁體版

原文原文链接

1 Introduction 近年来，行人检测问题获得了深刻的研究。在最近基于深层卷积神经网络（DCNNs）的方法[1,2]出现以前，最高性能的行人检测器是使用hand-crafted特征的boosted decision forests，例如histogram of gradients(HOG) [3], self-similarity (SS) [4], aggregate ch

>>阅读原文<<

1. Pushing the Limits of Deep CNNs for Pedestrian Detection
2. Pushing the Limits of Windows: Handles
3. Pushing the Limits of Accelerator Efficiency While Retaining Programmability
4. Deep CNNs for Diabetic Retinopathy Detection笔记
5. Learning Cross-Modal Deep Representations for Robust Pedestrian Detection
6. CUHK Occlusion Dataset (for pedestrian detection)
7. iO6 Programming pushing the limits 阅读笔记
8. Android Programming: Pushing the Limits -- Chapter 7:Android IPC -- ApiWrapper
9. 论文阅读——Pushing the Limits of Translation Quality Estimation
10. Caltech Pedestrian Detection Benchmark
更多相关文章...
• Scala for循环 - Scala教程
• Swift for 循环 - Swift 教程
• 为了进字节跳动，我精选了29道Java经典算法题，带详细讲解
• 使用Rxjava计算圆周率

最新文章

1. [最佳实践]了解 Eolinker 如何助力远程办公
2. katalon studio 安装教程
3. 精通hibernate（harness hibernate oreilly）中的一个”错误“
4. ECharts立体圆柱型
5. 零拷贝总结
6. 6 传输层
7. Github协作图想
8. Cannot load 32-bit SWT libraries on 64-bit JVM
9. IntelliJ IDEA 找其历史版本
10. Unity3D(二)游戏对象及组件

本站公众号

欢迎关注本站公众号,获取更多信息

1. Pushing the Limits of Deep CNNs for Pedestrian Detection
2. Pushing the Limits of Windows: Handles
3. Pushing the Limits of Accelerator Efficiency While Retaining Programmability
4. Deep CNNs for Diabetic Retinopathy Detection笔记
5. Learning Cross-Modal Deep Representations for Robust Pedestrian Detection
6. CUHK Occlusion Dataset (for pedestrian detection)
7. iO6 Programming pushing the limits 阅读笔记
8. Android Programming: Pushing the Limits -- Chapter 7:Android IPC -- ApiWrapper
9. 论文阅读——Pushing the Limits of Translation Quality Estimation
10. Caltech Pedestrian Detection Benchmark

>>更多相关文章<<