Statements (25)
| Predicate | Object |
|---|---|
| gptkbp:instanceOf |
gptkb:model
|
| gptkbp:architecture |
gptkb:convolutional_neural_network
|
| gptkbp:citation |
high
|
| gptkbp:codeAvailable |
yes
|
| gptkbp:digestSize |
arbitrary
|
| gptkbp:fullName |
gptkb:Very_Deep_Super-Resolution
|
| https://www.w3.org/2000/01/rdf-schema#label |
VDSR
|
| gptkbp:influenced |
gptkb:EDSR
gptkb:SRResNet |
| gptkbp:input |
low-resolution image
|
| gptkbp:level |
20
|
| gptkbp:lossFunction |
mean squared error
|
| gptkbp:memiliki_tugas |
image super-resolution
|
| gptkbp:output |
high-resolution image
|
| gptkbp:platform |
supervised learning
|
| gptkbp:proposedBy |
gptkb:Jiwon_Kim
gptkb:Jung_Kwon_Lee gptkb:Kyoung_Mu_Lee |
| gptkbp:publishedIn |
gptkb:CVPR_2016
|
| gptkbp:trainingDataset |
gptkb:91-image_dataset
gptkb:BSD300 |
| gptkbp:url |
https://cv.snu.ac.kr/research/VDSR/
|
| gptkbp:uses |
residual learning
|
| gptkbp:bfsParent |
gptkb:シェムリアップ国際空港
|
| gptkbp:bfsLayer |
5
|