Statements (100)
| Predicate | Object |
|---|---|
| gptkbp:instance_of |
gptkb:neural_networks
|
| gptkbp:applies_to |
gptkb:Computer_Vision
|
| gptkbp:can_be_combined_with |
Region Proposal Networks
Top-Down and Bottom-Up Pathways |
| gptkbp:developed_by |
gptkb:Kaiming_He
gptkb:Facebook_AI_Research Deep Learning Applications |
| gptkbp:enhances |
Image Segmentation
Semantic Segmentation |
| gptkbp:has_achieved |
State-of-the-Art Performance
|
| https://www.w3.org/2000/01/rdf-schema#label |
Feature Pyramid Networks
|
| gptkbp:improves |
Feature Representation
|
| gptkbp:is_adopted_by |
gptkb:scientific_community
Industry Applications |
| gptkbp:is_based_on |
Feature Pyramid
|
| gptkbp:is_cited_in |
Numerous Research Papers
Numerous Papers |
| gptkbp:is_compared_to |
Single-Scale Networks
|
| gptkbp:is_compatible_with |
gptkb:stage_adaptation
Various Backbone Networks |
| gptkbp:is_designed_for |
High-Resolution Images
|
| gptkbp:is_enhanced_by |
gptkb:stage_adaptation
Data Augmentation Attention Mechanisms |
| gptkbp:is_evaluated_by |
gptkb:Cityscapes_Dataset
gptkb:Image_Net gptkb:ADE20_K_Dataset gptkb:PASCAL_VOC gptkb:COCO_Dataset Traditional Methods |
| gptkbp:is_implemented_in |
gptkb:Tensor_Flow
gptkb:Py_Torch |
| gptkbp:is_influenced_by |
Feature Learning
Feature Hierarchies |
| gptkbp:is_integrated_with |
gptkb:Deep_Lab_Models
|
| gptkbp:is_known_for |
Scalable Architecture
|
| gptkbp:is_optimized_for |
Feature Extraction
High-Resolution Images |
| gptkbp:is_part_of |
gptkb:Computer_Vision
gptkb:Deep_Learning Computer Vision Systems |
| gptkbp:is_related_to |
gptkb:neural_networks
Image Segmentation Instance Segmentation |
| gptkbp:is_scalable |
Large Datasets
|
| gptkbp:is_used_by |
gptkb:Faster_R-CNN
gptkb:Retina_Net gptkb:Mask_R-CNN |
| gptkbp:is_used_in |
gptkb:Augmented_Reality
gptkb:Autonomous_Vehicles gptkb:sports_team gptkb:urban_planning gptkb:robotics Disaster Response Drone Technology Environmental Monitoring Image Classification Facial Recognition Medical Imaging Surveillance Systems Agricultural Monitoring Geospatial Analysis Smart Cities Traffic Management Wildlife Conservation Retail Analytics Instance Segmentation Semantic Segmentation |
| gptkbp:is_utilized_in |
gptkb:Augmented_Reality
gptkb:E-commerce gptkb:fashion_industry gptkb:sports_team gptkb:urban_planning gptkb:robotics Autonomous Driving Cultural Heritage Preservation Disaster Response Environmental Monitoring Facial Recognition Medical Imaging Surveillance Systems Agricultural Monitoring Gaming Industry Smart Cities Traffic Management Video Analysis Wildlife Conservation Retail Analytics Education Technology |
| gptkbp:performance |
Image Classification Tasks
Object Detection Tasks Semantic Segmentation Tasks |
| gptkbp:published_in |
gptkb:2017
|
| gptkbp:supports |
Real-Time Processing
|
| gptkbp:used_for |
Object Detection
|
| gptkbp:utilizes |
Multi-Scale Features
|
| gptkbp:bfsParent |
gptkb:YOLOv3
gptkb:YOLOv6 gptkb:Kaiming_He |
| gptkbp:bfsLayer |
6
|