Statements (29)
| Predicate | Object |
|---|---|
| gptkbp:instanceOf |
gptkb:model
|
| gptkbp:affiliation |
gptkb:The_Chinese_University_of_Hong_Kong
|
| gptkbp:application |
object detection
instance segmentation |
| gptkbp:author |
gptkb:Lu_Qi
gptkb:Jianping_Shi gptkb:Jiaya_Jia Haifang Qin Shu Liu |
| gptkbp:citation |
10.1109/CVPR.2018.00222
Path Aggregation Network for Instance Segmentation |
| gptkbp:component |
adaptive feature pooling
bottom-up path augmentation fully-connected fusion |
| gptkbp:countryOfOrigin |
gptkb:China
|
| gptkbp:field |
computer vision
|
| gptkbp:fullName |
Path Aggregation Network
|
| https://www.w3.org/2000/01/rdf-schema#label |
PANet
|
| gptkbp:improves |
information flow in feature pyramid networks
|
| gptkbp:introducedIn |
2018
|
| gptkbp:notableFor |
improving mask accuracy in Mask R-CNN
|
| gptkbp:openSource |
gptkb:GitHub
|
| gptkbp:publishedIn |
gptkb:CVPR_2018
|
| gptkbp:trainer |
gptkb:COCO
gptkb:Cityscapes |
| gptkbp:usedFor |
gptkb:Faster_R-CNN
gptkb:Mask_R-CNN |
| gptkbp:bfsParent |
gptkb:Mask_R-CNN
|
| gptkbp:bfsLayer |
6
|