【目标跟踪】《High Performance Visual Tracking with Siamese Region Proposal Network》论文阅读笔记...
论文：http://openaccess.thecvf.com/content_cvpr_2018/papers/Li_High_Performance_Visual_CVPR_2018_paper.pdf 1.Abstract 近年很多基于深度学习的目标跟踪方法，取得了很好的准确度，但是很少有方法可以在高精度的前提下保持实时的速度。这篇文章提出Siamese-RPN。利用Siamese子网络来提
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相关文章
- 1. SiameseRPN: High Performance Visual Tracking with Siamese Region Proposal Network论文阅读笔记
- 2. 目标跟踪论文（二）：SiamRPN：High Performance Visual Tracking with Siamese Region Proposal Network
- 3. High Performance Visual Tracking with Siamese Region Proposal Network 阅读笔记
- 4. 《Siamese RPN：High Performance Visual Tracking with Siamese Region Proposal Network》论文笔记
- 5. 【目标跟踪】SiameseRPN：High Performance Visual Tracking with Siamese Region Proposal Network
- 6. High Performance Visual Tracking with Siamese Region Proposal Network—CVPR2018 阅读
- 7. 走进VOT--《High Performance Visual Tracking with Siamese Region Proposal Network》阅读翻译
- 8. CVPR 2018 Siam-RPN:《High Performance Visual Tracking with Siamese Region Proposal Network》论文笔记
- 9. 论文笔记：Siamese Cascaded Region Proposal Networks for Real-Time Visual Tracking
- 10. [深度学习] [目标跟踪] Siamese-RPN论文阅读笔记