DH3D Deep Hierarchical 3D Descriptors for Robust Large-Scale 6DoF Relocalization
DH3D: Deep Hierarchical 3D Descriptors for Robust Large-Scale 6DoF Relocalization Abstract 設計了一種可以從原始點雲中提取3維局部特徵和描述符的網絡。集成了FlexConv和Squeeze-and-Excitation (SE) 使得學習到的局部描述符獲取多層次的幾何信息和通道關係。通過有效的注意力機制直接聚
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相關文章
- 1. Backtracking Regression Forests for Accurate Camera Relocalization
- 2. Deep Covariance Descriptors for Facial Expression Recognition
- 3. 2020.10.13重讀 PVN3D：A Deep Point-wise 3D Keypoints Voting Network for 6DoF Pose Estimation
- 4. 2020.10.02重讀 YOLOff: You Only Learn Offsets for robust 6DoF object pose estimation
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- 10. From Coarse to Fine Robust Hierarchical Localization at Large Scale