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[D] Role of the Identity Matrix in PointNet's Input Transformation Block
April 28, 2024, 4 a.m. | /u/Same_Half3758
Machine Learning www.reddit.com
I'm currently exploring the code for PointNet, specifically the Input Transformation block. I understand that this block is used to learn transformation matrices that are applied to the input point cloud, but I'm a bit confused about the role of the identity matrix in this context and generally in deep learning
Here's a snippet of the code that I'm referring to:
def forward(self, x):
batchsize = x.size()[0]
x = F.relu(self.bn1(self.conv1(x)))
x = F.relu(self.bn2(self.conv2(x)))
x = F.relu(self.bn3(self.conv3(x)))
x = torch.max(x, …
block cloud code context hello identity learn machinelearning matrix role transformation
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