作者:Shihua Zhang; Jiayi Ma 源码:https://github.com/SuhZhang/ConvMatch 摘要 多层感知器(MLP)已成为双视图对应学习的事实骨干,因为它可以单独提取无序对应点的有效深度特征。然而,由于天生缺乏上下文信息,其性能受到限制,尽管在后续研究中附加了许多捕获上下文的模块。在本文中,我们从一个新的角度出发,设计了一...
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🐛 Describe the bug class Model_Test(nn.Module): def __init__(self): super(Model_Test, self).__init__() self.conv1 = torch.nn.Conv2d(in_channels=3, out_channels=3, kernel_size=[3, 3], stride=[2, 2], padding=[1, 1], dilation=[-1, 0], group...
3DMatch Toolbox 3DMatch is a ConvNet-based local geometric feature descriptor that operates on 3D data (i.e. point clouds, depth maps, meshes, etc.). This toolbox provides code to use 3DMatch for geometric registration and keypoint matching, as well as code to train 3DMatch from existing...
├── PIV-DCNN20170710 │ ├── readme.md │ ├── install.m │ ├── data │ │ ├── ImagesForDataset │ │ │ ├── readme.md │ │ │ └── A1-10.bmp │ │ ├── NetF1~F4-3 │ │ │ ├── imdb.mat │ │ │ ├── net-epoch-1.mat │ │ │ └──...
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3DMatch Toolbox 3DMatch is a ConvNet-based local geometric feature descriptor that operates on 3D data (i.e. point clouds, depth maps, meshes, etc.). This toolbox provides code to use 3DMatch for geometric registration and keypoint matching, as well as code to train 3DMatch from existing...