Statements (24)
| Predicate | Object |
|---|---|
| gptkbp:instanceOf |
gptkb:model
|
| gptkbp:affiliation |
gptkb:University_of_Freiburg
|
| gptkbp:architecture |
gptkb:convolutional_neural_network
|
| gptkbp:citation |
high
|
| gptkbp:countryOfOrigin |
gptkb:Germany
|
| gptkbp:developedBy |
gptkb:Alexey_Dosovitskiy
gptkb:Thomas_Brox gptkb:Philipp_Fischer Eddy Ilg |
| gptkbp:field |
gptkb:machine_learning
computer vision |
| https://www.w3.org/2000/01/rdf-schema#label |
FlowNet
|
| gptkbp:influenced |
FlowNet2.0
PWC-Net |
| gptkbp:input |
pair of images
|
| gptkbp:memiliki_tugas |
optical flow estimation
|
| gptkbp:notablePublication |
FlowNet: Learning Optical Flow with Convolutional Networks
|
| gptkbp:openSource |
yes
|
| gptkbp:output |
optical flow field
|
| gptkbp:publishedIn |
2015
|
| gptkbp:trainer |
gptkb:Sintel
Flying Chairs |
| gptkbp:bfsParent |
gptkb:NVIDIA_AI_Research
|
| gptkbp:bfsLayer |
6
|