|
gptkbp:instanceOf
|
gptkb:Cloud_Computing_Service
|
|
gptkbp:application
|
Image Classification
|
|
gptkbp:architecturalStyle
|
Deep Learning
|
|
gptkbp:designedFor
|
Visual Recognition Tasks
|
|
gptkbp:developedBy
|
gptkb:Microsoft_Research
|
|
gptkbp:hasOccupation
|
True
|
|
gptkbp:hasRank
|
1st place in 2015
|
|
gptkbp:hasResearchInterest
|
Numerous
|
|
https://www.w3.org/2000/01/rdf-schema#label
|
ResNet-152
|
|
gptkbp:inputOutput
|
224x224
|
|
gptkbp:isBeneficialFor
|
True
|
|
gptkbp:isEvaluatedBy
|
gptkb:CIFAR-10
gptkb:Pascal_VOC
gptkb:SVHN
COCO
CIFAR-100
|
|
gptkbp:isHomeTo
|
Noise
Overfitting
Variations in Input
|
|
gptkbp:isLocatedIn
|
gptkb:PyTorch
gptkb:Keras
TensorFlow
|
|
gptkbp:isOpenTo
|
True
|
|
gptkbp:isPartOf
|
ResNet_family
|
|
gptkbp:isPopularIn
|
Computer_Vision_Community
|
|
gptkbp:isSuitableFor
|
True
|
|
gptkbp:isTrainedIn
|
Large Scale Datasets
|
|
gptkbp:isUsedFor
|
Anomaly Detection
Feature Extraction
Image Retrieval
Scene Understanding
Action Recognition
|
|
gptkbp:isUsedIn
|
Object Detection
Face Recognition
Semantic Segmentation
Medical_Image_Analysis
|
|
gptkbp:maxTakeoffWeight
|
He Initialization
|
|
gptkbp:numberOfStudents
|
152
|
|
gptkbp:predecessor
|
gptkb:ResNet-101
|
|
gptkbp:providesAccessTo
|
Top-5 error rate of 3.57%.
|
|
gptkbp:releaseDate
|
False
|
|
gptkbp:screenSize
|
1000 classes
|
|
gptkbp:successor
|
ResNet-164
|
|
gptkbp:supports
|
True
|
|
gptkbp:trainingPrograms
|
gptkb:ImageNet
|
|
gptkbp:uses
|
Stochastic Gradient Descent
Global Average Pooling
Residual Learning
Cross-Entropy_Loss
|
|
gptkbp:utilizes
|
ReLU
|
|
gptkbp:vocalization
|
True
|
|
gptkbp:yearEstablished
|
2015
|