SCNet: Learning Semantic Correspondence
GPTKB entity
Statements (22)
| Predicate | Object |
|---|---|
| gptkbp:instanceOf |
gptkb:academic_journal
|
| gptkbp:application |
object recognition
image matching |
| gptkbp:author |
gptkb:Scott_Cohen
gptkb:Brian_Price gptkb:Jianming_Zhang gptkb:Ming-Hsuan_Yang Sifei Liu Xueting Li |
| gptkbp:citation |
over 200 (as of 2024)
|
| gptkbp:field |
computer vision
deep learning |
| gptkbp:focusesOn |
semantic correspondence
|
| gptkbp:hasMethod |
SCNet
|
| gptkbp:publicationYear |
2017
|
| gptkbp:publishedIn |
gptkb:CVPR_2017
|
| gptkbp:title |
gptkb:SCNet:_Learning_Semantic_Correspondence
|
| gptkbp:url |
https://openaccess.thecvf.com/content_cvpr_2017/html/Li_SCNet_Learning_Semantic_CVPR_2017_paper.html
|
| gptkbp:uses |
convolutional neural networks
|
| gptkbp:bfsParent |
gptkb:Wenhan_Luo
|
| gptkbp:bfsLayer |
8
|
| https://www.w3.org/2000/01/rdf-schema#label |
SCNet: Learning Semantic Correspondence
|