gptkbp:instance_of
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gptkb:television_channel
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gptkbp:application
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Image Classification
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gptkbp:architectural_style
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Lightweight Model
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gptkbp:developed_by
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gptkb:Job_Search_Engine
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gptkbp:established
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Swish
Re LU
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gptkbp:features
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High Efficiency
Low Latency
Reduced Model Size
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https://www.w3.org/2000/01/rdf-schema#label
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Mobile Net V3-Large
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gptkbp:input_output
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224x224
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gptkbp:is_a_framework_for
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gptkb:Graphics_Processing_Unit
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gptkbp:is_evaluated_by
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F1 Score
Precision
Recall
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gptkbp:is_optimized_for
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gptkb:Neural_Architecture_Search
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gptkbp:license
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Apache License 2.0
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gptkbp:orbital_period
|
5.4 million
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gptkbp:performance
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Top-1 Accuracy
Top-5 Accuracy
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gptkbp:predecessor
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gptkb:Mobile_Net_V2
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gptkbp:provides_information_on
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gptkb:Image_Net
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gptkbp:release_year
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gptkb:2019
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gptkbp:speed
|
Fast Inference
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gptkbp:successor
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gptkb:Mobile_Net_V3-Small
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gptkbp:supports
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Quantization
Pruning
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gptkbp:targets
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gptkb:smartphone
Edge Devices
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gptkbp:training
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gptkb:streaming_service
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gptkbp:use_case
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gptkb:Autonomous_Vehicles
gptkb:software
gptkb:robot
gptkb:computer
gptkb:helicopter
Face Recognition
Video Analysis
Retail Analytics
Healthcare Imaging
Semantic Segmentation
Real-time Object Detection
Pose Estimation
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gptkbp:uses
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Depthwise Separable Convolutions
Squeeze-and-Excitation Blocks
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gptkbp:bfsParent
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gptkb:Mobile_Net_V3
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gptkbp:bfsLayer
|
5
|