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No, you don't want to label every slice. It sounds like you're doing classification, as opposed to segmentation. For a segmentation problem, you need to classify every pixel, which can be laborious work. I'll assume you're doing classification. Get started with 2D images While you're learning, it might be to treat this as a 2D problem. Choose the most ...


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Although I haven't worked with ICP specifically I have done work with point clouds, hopefully you will get a better answer soon! I don't think so. Consider a very simple example where you're just fitting a line to a pair of points. The (many) points on the line are each fit to the closest of the two points, and the the line is transformed to minimize this; ...


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Adding to the previous answer: Bottlenecks can also be understood as a design pattern, consisting of three convolution layers, introduced by the ResNet paper. Deeper Bottleneck Architectures. Next, we describe our deeper nets for ImageNet. Because of concerns on the training time that we can afford, we modify the building block as a bottleneck. For each ...


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