Re-implementation of the vector capsule with dynamic routing

Last update: Feb 10, 2022

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Overview

VectorCapsule

Re-implementation of the vector capsule with dynamic routing

We implement the vector capsule and dynamic routing via graph neural network. We trained the capsule network on MNIST, the record of top1 accuracy on test dataset is:

Epoch	Accuracy
1	Test set: Average loss: 0.0006, Accuracy: 9556/10000 (96%)
2	Test set: Average loss: 0.0003, Accuracy: 9812/10000 (98%)
3	Test set: Average loss: 0.0002, Accuracy: 9835/10000 (98%)
4	Test set: Average loss: 0.0002, Accuracy: 9875/10000 (99%)
5	Test set: Average loss: 0.0001, Accuracy: 9900/10000 (99%)

Owner

ZhenchaoTang

My research interests include computer vision and interpretable machine learning.

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Re-implementation of the vector capsule with dynamic routing

Related tags

Overview

VectorCapsule

Owner

ZhenchaoTang

Official PyTorch implementation of "RMGN: A Regional Mask Guided Network for Parser-free Virtual Try-on" (IJCAI-ECAI 2022)

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