Subspace Capsule Network

Subspace Capsule Network

UCF CRCV via YouTube Direct link

Qualitative Results

21 of 27

21 of 27

Qualitative Results

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Subspace Capsule Network

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

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