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Found 2 papers, 1 papers with code
Pushing the Limits of Capsule Networks
Convolutional neural networks use pooling and other downscaling operations to maintain translational invariance for detection of features, but in their architecture they do not explicitly maintain a representation of the locations of the features relative to each other.
Siamese Encoding and Alignment by Multiscale Learning with Self-Supervision
We show that siamese encoding enables more accurate alignment than the image pyramids of SPyNet, a previous deep learning approach to coarse-to-fine alignment.
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