Statements (73)
| Predicate | Object |
|---|---|
| gptkbp:instanceOf |
television channel
|
| gptkbp:addresses |
Spatial Hierarchies
|
| gptkbp:aimsTo |
gptkb:Traditional_Neural_Networks
|
| gptkbp:appearsIn |
3D Object Recognition
|
| gptkbp:benefits |
Data Augmentation
|
| gptkbp:challenges |
Overfitting
|
| gptkbp:completed |
Higher Accuracy
|
| gptkbp:composedOf |
Capsules
|
| gptkbp:designedBy |
Paper 'Dynamic Routing Between Capsules'.
|
| gptkbp:developedBy |
gptkb:Geoffrey_Hinton
|
| gptkbp:enhances |
Feature Detection
|
| gptkbp:fieldOfUse |
Machine Learning
|
| gptkbp:hasPatentNumber |
AI Ethics
|
| gptkbp:hasRelatedPatent |
Natural Language Processing
|
| https://www.w3.org/2000/01/rdf-schema#label |
Capsule Networks
|
| gptkbp:improves |
Robustness_to_Affine_Transformations
|
| gptkbp:introduced |
2017
|
| gptkbp:isActiveIn |
Computer_Vision
|
| gptkbp:isAvenueFor |
Performance Metrics
AI Safety |
| gptkbp:isBeneficialFor |
Small Datasets
|
| gptkbp:isConsidered |
Image Segmentation
Alternative to CNNs Future AI Developments Smart_Devices |
| gptkbp:isEvaluatedBy |
Scalability
Adversarial Examples Benchmark Datasets MNIST Dataset Traditional CNNs |
| gptkbp:isExploredIn |
Augmented Reality
Pattern Recognition Research Papers Virtual Reality Emotion Recognition AI Research Facial_Recognition |
| gptkbp:isIncorporatedIn |
Real-Time Processing
|
| gptkbp:isInspiredBy |
gptkb:Biological_Neural_Networks
|
| gptkbp:isLocatedIn |
TensorFlow
|
| gptkbp:isOptimizedFor |
Performance
|
| gptkbp:isPartOf |
Deep Learning
AI Competitions Deep_Learning_Models |
| gptkbp:isProminentIn |
Solution to Overfitting
|
| gptkbp:isRelatedTo |
Transformers
Human Cognition |
| gptkbp:isStudiedIn |
Visual Perception
AI_Interpretability |
| gptkbp:isSupportedBy |
gptkb:PyTorch
Neuroscience |
| gptkbp:isTestedFor |
gptkb:Synthetic_Data
Object Detection |
| gptkbp:isTrainedIn |
Conventional Methods
CIFAR-10 Dataset Real-World_Scenarios Image_Processing. |
| gptkbp:isUsedFor |
Medical Imaging
|
| gptkbp:isUsedIn |
gptkb:Autonomous_Vehicles
|
| gptkbp:isUtilizedFor |
Complexity
Gesture Recognition Scene Understanding Data Efficiency |
| gptkbp:isUtilizedIn |
Robotics
Speech Recognition Neural Encoding |
| gptkbp:isVisitedBy |
Backpropagation
Image Classification |
| gptkbp:reduces |
Pooling Layers
|
| gptkbp:relatedTo |
gptkb:Convolutional_Neural_Networks
|
| gptkbp:requires |
Less Training Data
|
| gptkbp:usedFor |
Image Recognition
|
| gptkbp:utilizes |
Dynamic_Routing
|