Statements (23)
| Predicate | Object |
|---|---|
| gptkbp:instanceOf |
gptkb:model
gptkb:convolutional_neural_network |
| gptkbp:application |
computer vision
autonomous driving medical imaging |
| gptkbp:architecture |
encoder-decoder
|
| gptkbp:arXivID |
1511.00561
|
| gptkbp:author |
gptkb:Roberto_Cipolla
gptkb:Alex_Kendall gptkb:Vijay_Badrinarayanan |
| gptkbp:decoderUses |
max-pooling indices
|
| gptkbp:developedBy |
gptkb:University_of_Cambridge
|
| gptkbp:encoderBasedOn |
gptkb:VGG16
|
| gptkbp:firstPublished |
2015
|
| https://www.w3.org/2000/01/rdf-schema#label |
SegNet
|
| gptkbp:input |
gptkb:illustrator
|
| gptkbp:notablePublication |
gptkb:SegNet:_A_Deep_Convolutional_Encoder-Decoder_Architecture_for_Image_Segmentation
|
| gptkbp:openSource |
yes
|
| gptkbp:output |
segmentation map
|
| gptkbp:repository |
https://github.com/alexgkendall/SegNet-Tutorial
|
| gptkbp:usedFor |
semantic segmentation
|
| gptkbp:bfsParent |
gptkb:FCNN
|
| gptkbp:bfsLayer |
6
|