SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation
GPTKB entity
Statements (19)
| Predicate | Object |
|---|---|
| gptkbp:instanceOf |
gptkb:academic_journal
|
| gptkbp:architecture |
encoder-decoder
|
| gptkbp:author |
gptkb:Roberto_Cipolla
gptkb:Alex_Kendall gptkb:Vijay_Badrinarayanan |
| gptkbp:citation |
highly cited
|
| gptkbp:field |
computer vision
deep learning |
| gptkbp:focusesOn |
semantic image segmentation
|
| https://www.w3.org/2000/01/rdf-schema#label |
SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation
|
| gptkbp:notableFor |
efficient memory usage
pixel-wise image segmentation |
| gptkbp:openSource |
available on GitHub
|
| gptkbp:proposedBy |
SegNet architecture
|
| gptkbp:publicationYear |
2017
|
| gptkbp:publishedIn |
gptkb:IEEE_Transactions_on_Pattern_Analysis_and_Machine_Intelligence
|
| gptkbp:uses |
convolutional neural networks
|
| gptkbp:bfsParent |
gptkb:SegNet
|
| gptkbp:bfsLayer |
7
|