CVPR 2017 CFNet:《End-to-end representation learning for Correlation Filter based tracking》论文笔记

时间 2020-12-30

标签目标跟踪 CVPR2017 CFNet 繁體版

原文原文链接

理解出错之处望不吝指正。本文模型叫做CFNet。作者在论文中提到，以前的工作只是将CF应用到了预训练的CNN特征上，并没有实现端到端的CNN-CF的结合。本文的主要贡献就是：推导了CF的可微闭合解，让CF成为CNN中的一个层，这样CNN-CF就可以end2end training，训练更适合CF tracking的卷积特征。模型的整体结构基于Siamese Network，如下图所

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1. CFNet：End-to-end representation learning for Correlation Filter based tracking
2. 走进VOT--《End-to-end representation learning for Correlation Filter based tracking》阅读笔记 CFnet-master
3. [CVPR2017]CFNet_End-to-end representation learning for Correlation Filter based tracking
4. End-to-end representation learning for Correlation Filter based tracking 阅读
5. CVPR 2017 CA:《Context-Aware Correlation Filter Tracking》论文笔记
6. CVPR 2018 STRCF:《Learning Spatial-Temporal Regularized Correlation Filters for Visual Tracking》论文笔记
7. CVPR 2018 MCCT:《Multi-Cue Correlation Filters for Roubust Visual Tracking》论文笔记
8. 论文笔记：Attentional Correlation Filter Network for Adaptive Visual Tracking
9. CVPR 2017 Deep representation learning for human motion prediction and classification 论文解读
10. EDCF阅读笔记：Reinforced Representation Learning for High Performance Visual Tracking
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1. CFNet：End-to-end representation learning for Correlation Filter based tracking
2. 走进VOT--《End-to-end representation learning for Correlation Filter based tracking》阅读笔记 CFnet-master
3. [CVPR2017]CFNet_End-to-end representation learning for Correlation Filter based tracking
4. End-to-end representation learning for Correlation Filter based tracking 阅读
5. CVPR 2017 CA:《Context-Aware Correlation Filter Tracking》论文笔记
6. CVPR 2018 STRCF:《Learning Spatial-Temporal Regularized Correlation Filters for Visual Tracking》论文笔记
7. CVPR 2018 MCCT:《Multi-Cue Correlation Filters for Roubust Visual Tracking》论文笔记
8. 论文笔记：Attentional Correlation Filter Network for Adaptive Visual Tracking
9. CVPR 2017 Deep representation learning for human motion prediction and classification 论文解读
10. EDCF阅读笔记：Reinforced Representation Learning for High Performance Visual Tracking

>>更多相关文章<<