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Subspace Capsule Convolution using P
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Classroom Contents
Subspace Capsule Network
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- 1 Introduction
- 2 Capsule Convention
- 3 Differences of SCN and CapsNet
- 4 Subspace Capsule Intuition
- 5 Subspace Capsule Network Principles
- 6 Subspace Capsules Based on Orthogonal Projection
- 7 Subspace Capsules in Intermediate Layers
- 8 Challenge
- 9 Proposed Method
- 10 No Information Loss
- 11 Norm preserving
- 12 Angle Preserving
- 13 Subspace Capsule Convolution using P
- 14 Activation Functions
- 15 Experiments
- 16 Datasets
- 17 Semi-supervised Image Classification
- 18 Semi-supervised classification with SCN-GAN
- 19 Image Generation with SCN-GAN
- 20 High Resolution Image Generation
- 21 Qualitative Results
- 22 Quantitative Comparison
- 23 Interpolation in the Latent Space
- 24 ImageNet Supervised Classification
- 25 Last Resnet Block Architecture
- 26 Effect of Capsule Size
- 27 Summery
