HF-Net: From Coarse to Fine: Robust Hierarchical Localization at Large Scale && 2019 論文筆記
作者：Paul-Edouard Sarlin1 Cesar Cadena1 Roland Siegwart1 Marcin Dymczyk 研究機構：蘇黎世聯邦理工學院，Sevensense Robotics HF-Net在設計之初就將實時性納入考量，整個系統可以在1080Ti上達到20fps的速度的同時達到可觀的精度。 論文解決的問題 本文提出了混合結構定位方法HF-Net（ Hierarchi
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相關文章
- 1. From Coarse to Fine Robust Hierarchical Localization at Large Scale
- 2. CamNet: Coarse-to-Fine Retrieval for Camera Re-Localization 論文筆記
- 3. 論文瀏覽(47) CFAD: Coarse-to-Fine Action Detector for Spatiotemporal Action Localization
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- 5. Efficient Coarse-to-Fine PatchMatch for Large Displacement Optical Flow
- 6. 學習筆記：Coarse-to-Fine Auto-Encoder Networks (CFAN) for Real-Time Face Alignment
- 7. 論文筆記：Large-Scale Object Detection in the Wild from Imbalanced Multi-Labels
- 8. 論文筆記：Modeling Consumer Preferences and Price Sensitivities from Large-Scale Grocery Shopping Transac
- 9. 【論文筆記】Objects365: A Large-scale, High-quality Dataset for Object Detection（ICCV 2019）
- 10. DH3D Deep Hierarchical 3D Descriptors for Robust Large-Scale 6DoF Relocalization