|
gptkbp:instance_of
|
gptkb:microprocessor
|
|
gptkbp:bfsLayer
|
5
|
|
gptkbp:bfsParent
|
gptkb:Mobile_Net_V3
|
|
gptkbp:based_on
|
Inverted Residuals
|
|
gptkbp:developed_by
|
gptkb:Job_Search_Engine
|
|
gptkbp:first_introduced
|
gptkb:2017
|
|
gptkbp:has_achievements
|
High Accuracy on Image Net
|
|
https://www.w3.org/2000/01/rdf-schema#label
|
Mobile Net Family
|
|
gptkbp:improves
|
Computational Efficiency
|
|
gptkbp:includes
|
gptkb:Mobile_Net_V1
gptkb:Mobile_Net_V2
gptkb:Mobile_Net_V3
|
|
gptkbp:is_adopted_by
|
gptkb:film_production_company
gptkb:Research_Institute
|
|
gptkbp:is_compared_to
|
gptkb:Efficient_Net
gptkb:Res_Net
gptkb:Squeeze_Net
|
|
gptkbp:is_compatible_with
|
gptkb:Graphics_Processing_Unit
gptkb:Py_Torch
|
|
gptkbp:is_considered_as
|
State-of-the-Art for Mobile Vision Tasks
|
|
gptkbp:is_designed_for
|
Mobile and Edge Devices
|
|
gptkbp:is_documented_in
|
gptkb:municipality
Online Courses
Research Papers
Technical Blogs
Git Hub Repositories
|
|
gptkbp:is_enhanced_by
|
Pruning Techniques
Quantization Techniques
|
|
gptkbp:is_evaluated_by
|
gptkb:Open_Images_Dataset
gptkb:Pascal_VOC
gptkb:COCO_Dataset
Kaggle Competitions
|
|
gptkbp:is_known_for
|
gptkb:streaming_service
Lightweight Models
|
|
gptkbp:is_optimized_for
|
Low Latency
|
|
gptkbp:is_popular_in
|
gptkb:viewpoint
|
|
gptkbp:is_scalable
|
Various Input Sizes
|
|
gptkbp:is_supported_by
|
Community Contributions
|
|
gptkbp:is_used_in
|
gptkb:software_framework
Object Detection
Mobile Applications
Semantic Segmentation
|
|
gptkbp:is_utilized_in
|
gptkb:Autonomous_Vehicles
gptkb:software
gptkb:helicopter
Facial Recognition
Gesture Recognition
Smart Cameras
Io T Devices
|
|
gptkbp:provides
|
Real-time Inference
|
|
gptkbp:supports
|
Image Classification
|
|
gptkbp:uses
|
Depthwise Separable Convolutions
|