|
gptkbp:instance_of
|
gptkb:cosmic_ray_detector
|
|
gptkbp:applies_to
|
semantic segmentation
|
|
gptkbp:based_on
|
gptkb:neural_networks
|
|
gptkbp:developed_by
|
gptkb:Google_Research
|
|
gptkbp:first_edition
|
gptkb:2016
|
|
gptkbp:has_achieved
|
state-of-the-art performance
|
|
gptkbp:has_applications_in
|
augmented reality
image editing
video analysis
land cover classification
object tracking
urban scene understanding
|
|
https://www.w3.org/2000/01/rdf-schema#label
|
Deep Lab family
|
|
gptkbp:includes
|
gptkb:Deep_Lab_v1
gptkb:Deep_Lab_v2
gptkb:Deep_Lab_v3
gptkb:Deep_Lab_v3+
|
|
gptkbp:is_compatible_with
|
gptkb:Tensor_Flow
gptkb:Py_Torch
|
|
gptkbp:is_documented_in
|
academic papers
technical reports
Git Hub repositories
|
|
gptkbp:is_evaluated_by
|
F1 score
pixel accuracy
m Io U metric
|
|
gptkbp:is_influenced_by
|
gptkb:Na'vi
gptkb:FCN_(Fully_Convolutional_Networks)
gptkb:Mask_R-CNN
gptkb:Seg_Net
|
|
gptkbp:is_open_source
|
gptkb:true
|
|
gptkbp:is_optimized_for
|
high accuracy
real-time performance
|
|
gptkbp:is_part_of
|
computer vision
|
|
gptkbp:is_related_to
|
object detection
semantic segmentation
instance segmentation
|
|
gptkbp:is_supported_by
|
tutorials
community contributions
online forums
|
|
gptkbp:is_trained_in
|
large datasets
synthetic data
real-world images
|
|
gptkbp:is_used_by
|
gptkb:developers
gptkb:researchers
industry professionals
|
|
gptkbp:is_used_in
|
gptkb:medical_imaging
gptkb:robotics
autonomous driving
|
|
gptkbp:performance
|
gptkb:PASCAL_VOC
gptkb:COCO_dataset
gptkb:Cityscapes_dataset
gptkb:ADE20_K_dataset
|
|
gptkbp:provides
|
pixel-wise classification
|
|
gptkbp:supports
|
multi-scale context
|
|
gptkbp:uses
|
deep learning
|
|
gptkbp:utilizes
|
Atrous convolution
|
|
gptkbp:bfsParent
|
gptkb:Deep_Labv2
gptkb:Deep_Lab_v2
gptkb:Deep_Lab_v3
|
|
gptkbp:bfsLayer
|
6
|