Statements (34)
| Predicate | Object |
|---|---|
| gptkbp:instanceOf |
gptkb:object_detection_algorithm
|
| gptkbp:application |
autonomous vehicles
robotics video surveillance real-time object detection |
| gptkbp:arXivID |
2011.08036
|
| gptkbp:basedOn |
gptkb:YOLOv4
|
| gptkbp:citation |
1000+
|
| gptkbp:contribution |
improved accuracy and speed
scalable architecture for object detection scaling up and down for different resource constraints |
| gptkbp:developedBy |
gptkb:Alexey_Bochkovskiy
Chien-Yao Wang Hong-Yuan Mark Liao |
| gptkbp:input |
gptkb:DVD
gptkb:illustrator |
| gptkbp:license |
GPL-3.0
|
| gptkbp:notablePublication |
Scaled-YOLOv4: Scaling Cross Stage Partial Network
|
| gptkbp:output |
class labels
bounding boxes confidence scores |
| gptkbp:publicationYear |
2020
|
| gptkbp:publishedIn |
gptkb:arXiv
|
| gptkbp:relatedTo |
computer vision
deep learning YOLO family |
| gptkbp:repository |
https://github.com/WongKinYiu/ScaledYOLOv4
|
| gptkbp:usesBackbone |
gptkb:ResNet
gptkb:EfficientNet CSPDarknet53 |
| gptkbp:bfsParent |
gptkb:YOLOv3
gptkb:You_Only_Look_Once |
| gptkbp:bfsLayer |
8
|
| https://www.w3.org/2000/01/rdf-schema#label |
Scaled-YOLOv4
|