Visual Relationship Detection
GPTKB entity
Statements (28)
| Predicate | Object |
|---|---|
| gptkbp:instanceOf |
computer vision task
|
| gptkbp:application |
autonomous vehicles
robotics image captioning visual question answering |
| gptkbp:bench |
gptkb:Open_Images
gptkb:Visual_Genome VRD dataset |
| gptkbp:challenge |
ambiguity in relationships
data annotation complexity long-tail distribution of relationships |
| gptkbp:field |
gptkb:artificial_intelligence
computer vision |
| gptkbp:goal |
detect relationships between objects in images
|
| https://www.w3.org/2000/01/rdf-schema#label |
Visual Relationship Detection
|
| gptkbp:input |
gptkb:illustrator
|
| gptkbp:notablePublication |
Visual Relationship Detection with Language Priors (Lu et al., 2016)
|
| gptkbp:output |
triples of (subject, predicate, object)
|
| gptkbp:proposedBy |
2016
|
| gptkbp:relatedTo |
object detection
scene understanding image understanding |
| gptkbp:uses |
convolutional neural networks
deep learning graph neural networks |
| gptkbp:bfsParent |
gptkb:VRD
gptkb:Open_Images_Challenge |
| gptkbp:bfsLayer |
7
|