Statements (19)
| Predicate | Object |
|---|---|
| gptkbp:instanceOf |
gptkb:academic_journal
|
| gptkbp:affiliation |
gptkb:University_of_Oxford
|
| gptkbp:arXivID |
gptkb:1409.1556
|
| gptkbp:author |
gptkb:Andrew_Zisserman
gptkb:Karen_Simonyan |
| gptkbp:bench |
gptkb:ImageNet
|
| gptkbp:citation |
over 50,000
|
| gptkbp:field |
computer vision
deep learning |
| gptkbp:focusesOn |
convolutional neural networks
|
| gptkbp:impact |
influential in deep learning research
|
| gptkbp:proposedBy |
gptkb:VGGNet_architecture
|
| gptkbp:publicationYear |
2014
|
| gptkbp:publishedIn |
gptkb:arXiv
|
| gptkbp:title |
gptkb:Very_Deep_Convolutional_Networks_for_Large-Scale_Image_Recognition
|
| gptkbp:url |
https://arxiv.org/abs/1409.1556
|
| gptkbp:bfsParent |
gptkb:Very_Deep_Convolutional_Networks_for_Large-Scale_Image_Recognition
|
| gptkbp:bfsLayer |
8
|
| https://www.w3.org/2000/01/rdf-schema#label |
VGGNet paper
|