Statements (21)
| Predicate | Object |
|---|---|
| gptkbp:instanceOf |
gptkb:convolutional_neural_network
|
| gptkbp:appliesTo |
autonomous driving
urban scene understanding |
| gptkbp:bench |
gptkb:Cityscapes_dataset
CamVid dataset |
| gptkbp:designedFor |
real-time semantic segmentation
|
| gptkbp:focusesOn |
efficient computation
low-latency inference |
| https://www.w3.org/2000/01/rdf-schema#label |
ContextNet
|
| gptkbp:improves |
gptkb:SegNet
ENet |
| gptkbp:introducedIn |
2018
|
| gptkbp:openSource |
gptkb:GitHub
|
| gptkbp:proposedBy |
PaddlePaddle Team
|
| gptkbp:publishedIn |
ECCV 2018
|
| gptkbp:usedFor |
semantic segmentation
|
| gptkbp:uses |
depthwise separable convolutions
encoder-decoder architecture contextual information aggregation |
| gptkbp:bfsParent |
gptkb:NeMo_ASR
|
| gptkbp:bfsLayer |
7
|