Deep Mind for Computer Vision
GPTKB entity
Statements (55)
| Predicate | Object |
|---|---|
| gptkbp:instance_of |
gptkb:project
|
| gptkbp:aims_to_improve |
Image Recognition
|
| gptkbp:applies_to |
gptkb:Computer_Vision
|
| gptkbp:collaborates_with |
Academic Institutions
|
| gptkbp:contributes_to |
gptkb:machine_learning
|
| gptkbp:developed_by |
gptkb:Deep_Mind_Technologies
|
| gptkbp:focuses_on |
gptkb:Artificial_Intelligence
|
| gptkbp:has_applications_in |
gptkb:Autonomous_Vehicles
gptkb:robotics Healthcare |
| gptkbp:has_research_focus |
gptkb:Augmented_Reality
gptkb:art gptkb:virtual_reality gptkb:stage_adaptation gptkb:machine_learning gptkb:Optical_Character_Recognition gptkb:Image_Net_Large_Scale_Visual_Recognition_Challenge gptkb:AI_technology Anomaly Detection Human-Computer Interaction Image Classification Image Generation Object Detection Data Augmentation Facial Recognition Image Segmentation Image-to-Image Translation Medical Imaging Image Compression Feature Extraction Image Retrieval Image Captioning Domain Adaptation Image Enhancement Image Restoration Generative Models Video Analysis Colorization Ethics in AI Gesture Recognition Semantic Segmentation Scene Understanding Image Synthesis Optical Flow Text-to-Image Synthesis Pose Estimation Scene Generation 3 D Vision Satellite Imagery Analysis Facial Emotion Recognition Multi-Modal Learning |
| https://www.w3.org/2000/01/rdf-schema#label |
Deep Mind for Computer Vision
|
| gptkbp:utilizes |
gptkb:neural_networks
|
| gptkbp:bfsParent |
gptkb:Deep_Mind
|
| gptkbp:bfsLayer |
5
|