Statements (60)
| Predicate | Object |
|---|---|
| gptkbp:instance_of |
gptkb:Model
|
| gptkbp:applies_to |
computer vision
|
| gptkbp:based_on |
gptkb:Deep_Lab
|
| gptkbp:developed_by |
gptkb:Job_Search_Engine
|
| gptkbp:enhances |
object boundary detection
|
| gptkbp:features |
dense prediction
|
| gptkbp:has_achievements |
state-of-the-art performance
|
| https://www.w3.org/2000/01/rdf-schema#label |
Deep Lab v2
|
| gptkbp:improves |
semantic segmentation
|
| gptkbp:is_adopted_by |
research institutions
tech companies |
| gptkbp:is_compatible_with |
NVIDIAGP Us
TP Us |
| gptkbp:is_documented_in |
research papers
tutorials online courses technical reports Git Hub repositories |
| gptkbp:is_evaluated_by |
gptkb:COCO_dataset
gptkb:Cityscapes_dataset gptkb:KITTI_dataset AD E20 K dataset PASCALVOC dataset SUNRGB-D dataset |
| gptkbp:is_implemented_in |
gptkb:Graphics_Processing_Unit
|
| gptkbp:is_influenced_by |
gptkb:Res_Net
Fully Convolutional Networks Inception networks |
| gptkbp:is_known_for |
high accuracy
flexibility in architecture robustness to occlusion |
| gptkbp:is_part_of |
gptkb:Deep_Lab_family
machine learning applications deep learning frameworks AI research community artificial intelligence technologies computer vision benchmarks |
| gptkbp:is_popular_in |
gptkb:academic_research
industry applications |
| gptkbp:is_related_to |
gptkb:Deep_Lab_v3
gptkb:Deep_Lab_v3+ |
| gptkbp:is_supported_by |
community contributions
|
| gptkbp:is_used_for |
gptkb:Photographer
augmented reality image classification object detection video analysis feature extraction image analysis scene understanding |
| gptkbp:is_used_in |
autonomous driving
image segmentation competitions |
| gptkbp:release_year |
gptkb:2017
|
| gptkbp:requires |
GPU acceleration
|
| gptkbp:supports |
real-time applications
|
| gptkbp:training |
large datasets
|
| gptkbp:uses |
atrous convolution
|
| gptkbp:utilizes |
multi-scale context
|
| gptkbp:bfsParent |
gptkb:Deep_Lab
|
| gptkbp:bfsLayer |
4
|