|
gptkbp:instance_of
|
gptkb:Model
|
|
gptkbp:bfsLayer
|
7
|
|
gptkbp:bfsParent
|
gptkb:Feature_Pyramid_Networks
|
|
gptkbp:applies_to
|
semantic segmentation
|
|
gptkbp:based_on
|
Fully Convolutional Networks
|
|
gptkbp:developed_by
|
gptkb:Google_Research
|
|
gptkbp:enhances
|
object boundary detection
|
|
gptkbp:first_released
|
gptkb:2016
|
|
gptkbp:has
|
pre-trained models
|
|
gptkbp:has_achievements
|
state-of-the-art performance
|
|
https://www.w3.org/2000/01/rdf-schema#label
|
Deep Lab Models
|
|
gptkbp:improves
|
feature extraction
|
|
gptkbp:includes
|
gptkb:Deep_Lab_v1
gptkb:Deep_Lab_v2
gptkb:Deep_Lab_v3
gptkb:Deep_Lab_v3+
|
|
gptkbp:is_available_on
|
gptkb:Graphics_Processing_Unit
gptkb:Py_Torch
|
|
gptkbp:is_compatible_with
|
NVIDIAGP Us
TP Us
|
|
gptkbp:is_discussed_in
|
workshops
conferences
meetups
|
|
gptkbp:is_documented_in
|
research papers
technical blogs
Git Hub repositories
|
|
gptkbp:is_evaluated_by
|
gptkb:COCO
Cityscapes
PASCALVOC
AD E20 K
|
|
gptkbp:is_influenced_by
|
gptkb:Alumni_Association
gptkb:Seg_Net
FCN
|
|
gptkbp:is_known_for
|
high accuracy
real-time performance
robustness to noise
|
|
gptkbp:is_open_source
|
gptkb:theorem
|
|
gptkbp:is_part_of
|
Deep Learning frameworks
|
|
gptkbp:is_popular_in
|
computer vision community
|
|
gptkbp:is_related_to
|
hyperparameter tuning
loss functions
data augmentation
transfer learning
model optimization
|
|
gptkbp:is_supported_by
|
community contributions
|
|
gptkbp:is_used_for
|
augmented reality
image editing
video analysis
scene understanding
|
|
gptkbp:is_used_in
|
autonomous driving
medical image analysis
satellite image processing
|
|
gptkbp:provides
|
pixel-wise classification
|
|
gptkbp:requires
|
high computational resources
|
|
gptkbp:supports
|
multi-scale context
|
|
gptkbp:training
|
custom datasets
|
|
gptkbp:uses
|
gptkb:television_channel
Conditional Random Fields
|
|
gptkbp:utilizes
|
gptkb:Atrous_Convolution
|