|
gptkbp:instanceOf
|
gptkb:Cloud_Computing_Service
|
|
gptkbp:appearsIn
|
Image Classification
|
|
gptkbp:architecturalStyle
|
Deep Learning
|
|
gptkbp:developedBy
|
gptkb:Microsoft_Research
|
|
gptkbp:hasFeature
|
Transfer Learning
Feature Extraction
Fine-tuning
|
|
gptkbp:hasOccupation
|
True
|
|
gptkbp:hasSibling
|
1000 classes
224x224
|
|
https://www.w3.org/2000/01/rdf-schema#label
|
ResNet-101
|
|
gptkbp:introduced
|
2015
|
|
gptkbp:isBasedOn
|
Overfitting
Vanishing Gradient Problem
|
|
gptkbp:isChallengedBy
|
gptkb:ImageNet_Challenge
Image Segmentation Tasks
Visual Recognition Tasks
Action Recognition Tasks
Face Recognition Tasks
Object Detection Tasks
|
|
gptkbp:isCitedIn
|
Dissertations
Theses
Research Articles
Academic Papers
|
|
gptkbp:isEvaluatedBy
|
gptkb:PASCAL_VOC
gptkb:CIFAR-10
COCO
CIFAR-100
|
|
gptkbp:isLocatedIn
|
gptkb:PyTorch
gptkb:Keras
TensorFlow
|
|
gptkbp:isOpenTo
|
True
|
|
gptkbp:isPartOf
|
gptkb:Deep_Residual_Networks
gptkb:ResNet_Family
|
|
gptkbp:isPopularIn
|
Computer_Vision
|
|
gptkbp:isSuitableFor
|
Smaller Models
Larger_Models
|
|
gptkbp:isUsedBy
|
Industry
Researchers
|
|
gptkbp:isUsedIn
|
Object Detection
Semantic Segmentation
|
|
gptkbp:numberOfStudents
|
101
|
|
gptkbp:predecessor
|
ResNet-50
|
|
gptkbp:providesAccessTo
|
Top-5 accuracy of 3.57% on ImageNet
|
|
gptkbp:providesTrainingFor
|
gptkb:ImageNet
Varies by hardware
|
|
gptkbp:successor
|
gptkb:ResNet-152
|
|
gptkbp:uses
|
Stochastic Gradient Descent
Average Pooling
Residual Learning
|
|
gptkbp:utilizes
|
ReLU
|
|
gptkbp:vocalization
|
True
|