SiameseRPN
时间: 2023-09-06 17:09:05 浏览: 50
SiameseRPN是一种高性能的视觉跟踪算法,它是在SiameseFC的基础上引入了PPN来处理目标尺度变化的问题。SiameseRPN使用了和SiameseFC相似的主干网络,但输出的厚度不同,SiameseFC为128,而SiameseRPN为256。相比于SiamFC,SiameseRPN具有更高的精度和更快的速度。SiameseRPN的anchor使用了不同的尺度,分别为1/3, 1/2, 1, 2, 3。它还使用了两套correlation操作来进行分类和回归,与RPN相似,通过卷积实现。SiameseRPN的Tem核的厚度需要2k和4k,为了使其与孪生网络的输出结果匹配,中间加入了卷积Conv操作。<span class="em">1</span><span class="em">2</span><span class="em">3</span>
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- *1* *2* [[Extensive Reading]SOT:SiameseRPN](https://blog.csdn.net/chaipp0607/article/details/118371944)[target="_blank" data-report-click={"spm":"1018.2226.3001.9630","extra":{"utm_source":"vip_chatgpt_common_search_pc_result","utm_medium":"distribute.pc_search_result.none-task-cask-2~all~insert_cask~default-1-null.142^v92^chatsearchT0_1"}}] [.reference_item style="max-width: 50%"]
- *3* [SiameseRPN详解](https://blog.csdn.net/q923714892/article/details/120001172)[target="_blank" data-report-click={"spm":"1018.2226.3001.9630","extra":{"utm_source":"vip_chatgpt_common_search_pc_result","utm_medium":"distribute.pc_search_result.none-task-cask-2~all~insert_cask~default-1-null.142^v92^chatsearchT0_1"}}] [.reference_item style="max-width: 50%"]
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