Properties (52)
| Predicate | Object |
|---|---|
| gptkbp:instanceOf |
television channel
|
| gptkbp:appearsIn |
Object Detection
Semantic Segmentation |
| gptkbp:basedOn |
Residual Learning
|
| gptkbp:competesWith |
DenseNet
Inception_Networks |
| gptkbp:completed |
State-of-the-art_performance_on_ImageNet
|
| gptkbp:developedBy |
gptkb:Kaiming_He
|
| gptkbp:hasCitations |
Computationally intensive
Requires large datasets |
| gptkbp:hasImpactOn |
Computer_Vision
Deep_Learning_Research |
| gptkbp:hasRelatedPatent |
gptkb:Autonomous_Vehicles
Medical Imaging Video Analysis Facial_Recognition |
| gptkbp:hasVariants |
gptkb:ResNet-101
gptkb:ResNet-152 ResNet-50 |
| https://www.w3.org/2000/01/rdf-schema#label |
Deep Residual Networks
|
| gptkbp:improves |
Training of deep networks
|
| gptkbp:influenced |
Subsequent Architectures
|
| gptkbp:introduced |
2015
|
| gptkbp:isCharacterizedBy |
Identity Mapping
Layer-wise Learning Deeper_Networks |
| gptkbp:isConsidered |
Standard Benchmark
Breakthrough_in_Deep_Learning |
| gptkbp:isCounteredBy |
gptkb:Adam_Optimizer
Stochastic Gradient Descent |
| gptkbp:isEvaluatedBy |
gptkb:ImageNet
gptkb:CIFAR-10 Top-1 Accuracy Top-5 Accuracy CIFAR-100 |
| gptkbp:isOptimizedFor |
High Accuracy
Fast Training |
| gptkbp:isPopularIn |
Industry Applications
Research_Community |
| gptkbp:isRelatedTo |
gptkb:Convolutional_Neural_Networks
Transfer Learning Feature Extraction |
| gptkbp:isSupportedBy |
Frameworks like TensorFlow
Frameworks_like_PyTorch |
| gptkbp:isUsedIn |
gptkb:ImageNet_Challenge
Research Papers Kaggle Competitions |
| gptkbp:publishedIn |
CVPR 2016
|
| gptkbp:usedFor |
Image Classification
|
| gptkbp:uses |
Batch Normalization
ReLU Activation Function |
| gptkbp:utilizes |
Skip Connections
|