Statements (27)
| Predicate | Object |
|---|---|
| gptkbp:instanceOf |
gptkb:model
|
| gptkbp:abbreviation |
gptkb:VDSR
|
| gptkbp:architecture |
gptkb:convolutional_neural_network
|
| gptkbp:citation |
high
Kim, Jiwon, Jung Kwon Lee, and Kyoung Mu Lee. 'Accurate Image Super-Resolution Using Very Deep Convolutional Networks.' In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp. 1646-1654. 2016. |
| gptkbp:field |
computer vision
image super-resolution |
| https://www.w3.org/2000/01/rdf-schema#label |
Very Deep Super-Resolution
|
| gptkbp:influenced |
gptkb:EDSR
gptkb:SRResNet RCAN |
| gptkbp:input |
low-resolution image
|
| gptkbp:lossFunction |
mean squared error
|
| gptkbp:maximumDepth |
20 layers
|
| gptkbp:notablePublication |
Accurate Image Super-Resolution Using Very Deep Convolutional Networks
https://arxiv.org/abs/1511.04587 |
| gptkbp:output |
high-resolution image
|
| gptkbp:proposedBy |
gptkb:Jiwon_Kim
gptkb:Jung_Kwon_Lee gptkb:Kyoung_Mu_Lee |
| gptkbp:publicationYear |
2016
|
| gptkbp:publishedIn |
gptkb:CVPR_2016
|
| gptkbp:repository |
https://github.com/twtygqyy/pytorch-vdsr
|
| gptkbp:trainingDataset |
gptkb:ImageNet
|
| gptkbp:uses |
residual learning
|
| gptkbp:bfsParent |
gptkb:VDSR
|
| gptkbp:bfsLayer |
6
|