Convolutional Neural Networks
Capsule Network
Introduced by Sabour et al. in Dynamic Routing Between CapsulesCapsule Network is a machine learning system that is a type of artificial neural network that can be used to better model hierarchical relationships. The approach is an attempt to more closely mimic biological neural organization.
Source: Dynamic Routing Between Capsules
Papers
| Paper | Code | Results | Date | Stars |
|---|
Tasks
| Task | Papers | Share |
|---|---|---|
| Image Classification | 6 | 15.38% |
| Object Detection | 2 | 5.13% |
| Time Series Analysis | 2 | 5.13% |
| Emotion Recognition | 2 | 5.13% |
| Speech Emotion Recognition | 2 | 5.13% |
| Hyperspectral Image Classification | 1 | 2.56% |
| Classification | 1 | 2.56% |
| Self-Supervised Learning | 1 | 2.56% |
| Adversarial Attack | 1 | 2.56% |
Usage Over Time
Components
| Component | Type |
|
|---|---|---|
| 🤖 No Components Found | You can add them if they exist; e.g. Mask R-CNN uses RoIAlign |
