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WideCaps: A Wide Attention based Capsule Network for Image Classification
[article]
2021
arXiv
pre-print
The capsule network is a distinct and promising segment of the neural network family that drew attention due to its unique ability to maintain the equivariance property by preserving the spatial relationship amongst the features. The capsule network has attained unprecedented success over image classification tasks with datasets such as MNIST and affNIST by encoding the characteristic features into the capsules and building the parse-tree structure. However, on the datasets involving complex
arXiv:2108.03627v2
fatcat:mkmnpws4tncb7dhxywx2s3qylu