Efficient Net B2

GPTKB entity

Statements (66)
Predicate Object
gptkbp:instance_of gptkb:television_channel
gptkbp:bfsLayer 5
gptkbp:bfsParent gptkb:Efficient_Net
gptkbp:architectural_style Image Classification
gptkbp:base gptkb:Efficient_Net
gptkbp:developed_by gptkb:Google_AI
gptkbp:first_performance 82.7%
gptkbp:has_achievements State-of-the-art performance
Higher accuracy with fewer parameters
https://www.w3.org/2000/01/rdf-schema#label Efficient Net B2
gptkbp:improves gptkb:Efficient_Net_B1
gptkbp:input_output 260x260
gptkbp:is_designed_for Mobile and Edge Devices
gptkbp:is_evaluated_by gptkb:Cityscapes_Dataset
gptkb:Open_Images_Dataset
gptkb:CIFAR-10
gptkb:Celeb_A_Dataset
gptkb:CIFAR-100
Kaggle Datasets
LFW Dataset
AD E20 K Dataset
PASCALVOC Dataset
CUB-200-2011 Dataset
Caltech-256 Dataset
Food-101 Dataset
Image Net V2 Dataset
Image Net-10 Dataset
Image Net-100 Dataset
Image Net-1000 Dataset
Image Net-21 K Dataset
Image Net-5 Dataset
Image Net-50 Dataset
Image Net-500 Dataset
Image Net-A Dataset
Image Net-R Dataset
Image Net-S Dataset
Image Net-Vid Dataset
MIT Indoor Scenes Dataset
MSCOCO Dataset
Open ML Datasets
Oxford Flowers Dataset
Oxford Pets Dataset
Places365 Dataset
Stanford Dogs Dataset
Tiny Image Net Dataset
VGG Face2 Dataset
WIDERFACE Dataset
gptkbp:is_implemented_in gptkb:Graphics_Processing_Unit
gptkb:Py_Torch
gptkbp:is_optimized_for Image Recognition Tasks
gptkbp:is_part_of Efficient Net family
gptkbp:is_used_in Computer Vision Applications
gptkbp:orbital_period 7.7 million
gptkbp:performance gptkb:Image_Net_Challenge
FLO Ps
gptkbp:rank 96.5%
gptkbp:related_model gptkb:Efficient_Net
gptkbp:related_to gptkb:Neural_Architecture_Search
gptkbp:release_year gptkb:2019
gptkbp:successor gptkb:Efficient_Net_B3
gptkbp:supports gptkb:streaming_service
gptkbp:training gptkb:Image_Net
gptkbp:uses gptkb:Batch_Normalization
Compound Scaling
Depthwise Separable Convolutions
Swish Activation Function