|
gptkbp:instance_of
|
gptkb:television_channel
|
|
gptkbp:bfsLayer
|
5
|
|
gptkbp:bfsParent
|
gptkb:Res_Net50
gptkb:Res_Net-101
gptkb:Res_Net-152
gptkb:Res_Net-50
|
|
gptkbp:applies_to
|
Object Detection
Face Recognition
Semantic Segmentation
|
|
gptkbp:architectural_style
|
gptkb:Deep_Learning
|
|
gptkbp:based_on
|
Skip Connections
|
|
gptkbp:coat_of_arms
|
gptkb:Basketball_Player
Activation Function
Convolutional Layer
Fully Connected Layer
Batch Normalization Layer
|
|
gptkbp:developed_by
|
gptkb:Microsoft_Research
|
|
gptkbp:features
|
Residual Learning
|
|
gptkbp:has_programs
|
gptkb:Autonomous_Vehicles
gptkb:software
gptkb:robot
Medical Imaging
|
|
gptkbp:has_variants
|
gptkb:Res_Net-110
gptkb:Res_Net-164
gptkb:Res_Net-101
gptkb:Res_Net-152
gptkb:Res_Net-50
|
|
https://www.w3.org/2000/01/rdf-schema#label
|
Res Net Family
|
|
gptkbp:improves
|
Gradient Flow
|
|
gptkbp:introduced
|
gptkb:2015
|
|
gptkbp:is_influenced_by
|
gptkb:VGG_Network
gptkb:Alex_Net
gptkb:Google_Net
|
|
gptkbp:is_known_for
|
Efficiency
Flexibility
Scalability
Robustness
High Accuracy
|
|
gptkbp:is_popular_in
|
Computer Vision Community
Deep Learning Research
AI Industry
|
|
gptkbp:is_used_in
|
gptkb:COCO_Challenge
gptkb:Image_Net_Challenge
Kaggle Competitions
|
|
gptkbp:performance
|
Inference Time
Top-1 Accuracy
Top-5 Accuracy
Parameters Count
FLO Ps
|
|
gptkbp:supports
|
gptkb:streaming_service
Fine-tuning
|
|
gptkbp:used_in
|
Image Classification
|
|
gptkbp:winner
|
gptkb:ILSVRC_2015
|