ASLFeat: Learning Local Features of Accurate Shape and Localization &&2020
通讯作者：Long Quan 第一作者：Zixin Luo 研究机构：港科大，清华，快手 自己的想法： 论文解决的问题 论文提出的方法解决了局部特征检测器和描述子的两个局限性： 在密集特征提取过程中，往往忽略了特征点的局部形状（尺度、方向等）的估计能力，而形状感知是获得较强几何不变性的关键。 检测到的特征点的定位精度不足以可靠地恢复相机的几何结构，这已成为3D重建等任务的瓶颈。 现有方法的不足 &
相关文章
- 1. [论文解读]ASLFeat: Learning Local Features of Accurate Shape and Localization
- 2. [CVPR 2020] D3Feat: Joint Learning of Dense Detection and Description of 3D Local Features
- 3. 【点云识别】D3Feat: Joint Learning of Dense Detection and Description of 3D Local Features(CVPR 2020 Oral)
- 4. Learning Deep Features for Discriminative Localization
- 5. Comparison of SIFT Encoded and Deep Learning Features for the Classification and Detection of Esca D
- 6. [翻译]Learning Deep Features for Discriminative Localization
- 7. 论文阅读-《Learning Deep Features for Discriminative Localization》
- 8. 《SpineNet: Learning Scale-Permuted Backbone for Recognition and Localization》
- 9. Acquisition of Localization Confidence for Accurate Object Detection
- 10. Learning Deep Features for Discriminative Localization笔记
- 更多相关文章...
- • XSLT
- • XSLT
- • RxJava操作符（七）Conditional and Boolean
- • Flink 数据传输及反压详解
相关标签/搜索
每日一句
-
每一个你不满意的现在，都有一个你没有努力的曾经。
欢迎关注本站公众号,获取更多信息
相关文章
- 1. [论文解读]ASLFeat: Learning Local Features of Accurate Shape and Localization
- 2. [CVPR 2020] D3Feat: Joint Learning of Dense Detection and Description of 3D Local Features
- 3. 【点云识别】D3Feat: Joint Learning of Dense Detection and Description of 3D Local Features(CVPR 2020 Oral)
- 4. Learning Deep Features for Discriminative Localization
- 5. Comparison of SIFT Encoded and Deep Learning Features for the Classification and Detection of Esca D
- 6. [翻译]Learning Deep Features for Discriminative Localization
- 7. 论文阅读-《Learning Deep Features for Discriminative Localization》
- 8. 《SpineNet: Learning Scale-Permuted Backbone for Recognition and Localization》
- 9. Acquisition of Localization Confidence for Accurate Object Detection
- 10. Learning Deep Features for Discriminative Localization笔记