Very Deep Convolutional Networks for Large-Scale Image Recognition
GPTKB entity
Statements (23)
| Predicate | Object |
|---|---|
| gptkbp:instanceOf |
gptkb:academic_journal
|
| gptkbp:affiliation |
gptkb:Visual_Geometry_Group,_University_of_Oxford
|
| gptkbp:alsoKnownAs |
gptkb:VGGNet_paper
|
| gptkbp:application |
image classification
|
| gptkbp:architecture |
gptkb:convolutional_neural_network
|
| gptkbp:arXivID |
gptkb:1409.1556
|
| gptkbp:author |
gptkb:Andrew_Zisserman
gptkb:Karen_Simonyan |
| gptkbp:citation |
over 50,000
|
| gptkbp:competition |
gptkb:ILSVRC_2014
|
| gptkbp:contribution |
demonstrated effectiveness of deeper convolutional networks
|
| gptkbp:field |
computer vision
deep learning |
| https://www.w3.org/2000/01/rdf-schema#label |
Very Deep Convolutional Networks for Large-Scale Image Recognition
|
| gptkbp:influenced |
subsequent deep learning architectures
|
| gptkbp:level |
up to 19
|
| gptkbp:proposedBy |
gptkb:VGGNet_architecture
|
| gptkbp:publicationYear |
2014
|
| gptkbp:publishedIn |
gptkb:arXiv
|
| gptkbp:result |
state-of-the-art performance on ImageNet
|
| gptkbp:trainer |
gptkb:ImageNet
|
| gptkbp:bfsParent |
gptkb:VGGNet
|
| gptkbp:bfsLayer |
6
|