|
gptkbp:instance_of
|
gptkb:television_channel
|
|
gptkbp:bfsLayer
|
6
|
|
gptkbp:bfsParent
|
gptkb:Res_Ne_Xt-101
|
|
gptkbp:applies_to
|
Image Classification
|
|
gptkbp:architectural_style
|
gptkb:software_framework
|
|
gptkbp:based_on
|
gptkb:Res_Net
|
|
gptkbp:competes_with
|
gptkb:Dense_Net
|
|
gptkbp:developed_by
|
gptkb:Facebook_AI_Research
|
|
gptkbp:enhances
|
Model Efficiency
|
|
gptkbp:has_achievements
|
State-of-the-art performance
|
|
gptkbp:has_variants
|
gptkb:Res_Ne_Xt-101
gptkb:Res_Ne_Xt-152
gptkb:Res_Ne_Xt-50
|
|
https://www.w3.org/2000/01/rdf-schema#label
|
Res Ne Xt Family
|
|
gptkbp:improves
|
Feature Extraction
|
|
gptkbp:introduced
|
gptkb:2017
|
|
gptkbp:is_adopted_by
|
Industry Applications
|
|
gptkbp:is_cited_in
|
Research Papers
|
|
gptkbp:is_compared_to
|
gptkb:Mobile_Net
gptkb:Res_Net
VGG Net
|
|
gptkbp:is_evaluated_by
|
gptkb:Image_Net
Top-1 Accuracy
Top-5 Accuracy
|
|
gptkbp:is_implemented_in
|
gptkb:Graphics_Processing_Unit
gptkb:Py_Torch
|
|
gptkbp:is_influenced_by
|
gptkb:Inception_Networks
|
|
gptkbp:is_known_for
|
Flexibility
Scalability
Robustness
Modularity
|
|
gptkbp:is_optimized_for
|
High Performance
|
|
gptkbp:is_part_of
|
gptkb:AI_Research
gptkb:software_framework
Deep Learning Frameworks
Computer Vision Models
|
|
gptkbp:is_related_to
|
gptkb:microprocessor
|
|
gptkbp:is_supported_by
|
Community Contributions
|
|
gptkbp:is_used_for
|
Feature Learning
Image Generation
Object Detection
Semantic Segmentation
|
|
gptkbp:is_used_in
|
Computer Vision Tasks
|
|
gptkbp:is_utilized_in
|
gptkb:Autonomous_Vehicles
gptkb:sports_team
gptkb:software
gptkb:robot
Environmental Monitoring
Facial Recognition
Surveillance Systems
Agricultural Monitoring
Retail Analytics
Healthcare Imaging
|
|
gptkbp:performance
|
Visual Recognition
|
|
gptkbp:supports
|
gptkb:streaming_service
|
|
gptkbp:uses
|
Cardinality
|
|
gptkbp:utilizes
|
Residual Connections
|