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putrefied    
adj. 腐烂

腐烂

Putrefy \Pu"tre*fy\, v. t. [Written also putrify.] [imp. & p. p.
{Putrefied}; p. pr. & vb. n. {Putrefying}.] [F. putr['e]fier;
L. putrere to be rotten -ficare (in. comp.) to make; cf. L.
putrefacere. See {Putrid}, and {-fy}.]
1. To render putrid; to cause to decay offensively; to cause
to be decomposed; to cause to rot.
[1913 Webster]

2. To corrupt; to make foul.
[1913 Webster]

Private suits do putrefy the public good. --Bacon.
[1913 Webster]

They would but stink, and putrefy the air. --Shak.
[1913 Webster]

3. To make morbid, carious, or gangrenous; as, to putrefy an
ulcer or wound.
[1913 Webster]


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  • Fully Convolutional Geometric Features - IEEE Xplore
    Extracting geometric features from 3D scans or point clouds is the first step in applications such as registration, reconstruction, and tracking State-of-the-a
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    在本论文中,作者提出了FCGF (Fully-Convolutional Geometric Features),它通过全卷积网络一次计算得到点云特征;作者还提出了新的度量学习损失,可以显著提升性能。 FCGF是紧凑的,同时捕获了广泛的空间上下文,并可扩展到大型场景。
  • Fully Convolutional Geometric Features - CVF Open Access
    We validate our fully-convolutional geometric features (FCGF) on both indoor and outdoor datasets We show that FCGF outperform all state-of-the-art methods in both accuracy and speed, and analyze the proposed hardest-contrastive and hardest-triplet losses
  • Fully Convolutional Geometric Features - 百度学术
    In this work, we present fully-convolutional geometric features, computed in a single pass by a 3D fully-convolutional network We also present new metric learning losses that dramatically improve performance
  • FCGF论文阅读笔记 - CSDN博客
    本文提出的是一个全卷积几何特征提取网络,名为fully-convolutional geometric features。 通过一个3D的全卷积网络的一次pass,即可得到几何特征。 同时提出了一个新的度量学习的loss函数,可以显著的提高网络的性能。
  • Fully Convolutional Geometric Features for Category-level Object Alignment
    Our approach transforms instances of the same category to a normalized canonical coordinate frame and uses metric learning to train fully convolutional geometric features The resulting model is able to generate pairs of matching points between the instances, allowing category-level registration
  • Fully convolutional geometric features - Seoul National University
    State-of-the-art methods require computing low-level features as input or extracting patch-based features with limited receptive field In this work, we present fully-convolutional geometric features, computed in a single pass by a 3D fully-convolutional network
  • 复现 Fully Convolutional Geometric Features (FCGF)
    本文详细记录了在基于学习的FCGF (全卷积几何特征)3D点云配准项目复现过程中遇到的问题,包括环境配置建议,如推荐使用CUDA11 1,以及如何解决版本兼容性问题和安装MinkowskiEngine等依赖库。
  • Fully Convolutional Geometric Features for Category-level Object Alignment
    Our approach transforms instances of the same category to a normalized canonical coordinate frame and uses metric learning to train fully convolutional geometric features The resulting model is able to generate pairs of matching points between the instances, allowing category-level registration
  • FCGF-基于稀疏全卷积网络的点云特征描述子提取 (ICCV2019)
    在本论文中,作者提出了FCGF (Fully-Convolutional Geometric Features),它通过全卷积网络一次计算得到点云特征;作者还提出了新的度量学习损失,可以显著提升性能。 FCGF是紧凑的,同时捕获了广泛的空间上下文,并可扩展到大型场景。





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