Aggregated Residual Transformations for Deep Neural Networks
GPTKB entity
Statements (22)
| Predicate | Object |
|---|---|
| gptkbp:instanceOf |
gptkb:academic_journal
|
| gptkbp:alsoKnownAs |
gptkb:ResNeXt
|
| gptkbp:author |
gptkb:Zhuowen_Tu
gptkb:Ross_Girshick gptkb:Kaiming_He gptkb:Piotr_Dollár gptkb:Saining_Xie |
| gptkbp:citation |
over 5000
|
| gptkbp:field |
computer vision
deep learning |
| gptkbp:focusesOn |
convolutional neural networks
|
| gptkbp:influenced |
subsequent neural network architectures
|
| gptkbp:introduced |
cardinality in neural networks
|
| gptkbp:proposedBy |
ResNeXt architecture
|
| gptkbp:publicationYear |
2017
|
| gptkbp:publishedIn |
gptkb:CVPR_2017
|
| gptkbp:relatedTo |
gptkb:ResNet
gptkb:Inception_architecture |
| gptkbp:url |
https://arxiv.org/abs/1611.05431
|
| gptkbp:bfsParent |
gptkb:ResNeXt
|
| gptkbp:bfsLayer |
7
|
| https://www.w3.org/2000/01/rdf-schema#label |
Aggregated Residual Transformations for Deep Neural Networks
|