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SBT: Correlation-Aware Deep Tracking | CV home

https://www.zjp97.top/tracking/53-SBT/

论文 写在开头:本文的写作值得学习,实验极其详尽。本篇博文按照作者的写作思路过一遍摘要和引言,对于我们大多数人写文章按照这个套路都没什么问题。 摘要切入点:鲁棒性和判别性都很重要 现有问题:孪生网络无法判别性的建模目标和干扰 提出新方法:target-dependent feature network 做法:通过attention,将跨图像的特征相关性嵌入特征网络的多个层中。 好处: 在多个

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