|
gptkbp:instance_of
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gptkb:television_channel
|
|
gptkbp:application
|
Semantic Segmentation
|
|
gptkbp:architectural_style
|
gptkb:television_channel
|
|
gptkbp:based_on
|
gptkb:Alex_Net
VGG Net
|
|
gptkbp:contributed_to
|
gptkb:Deep_Learning
|
|
gptkbp:developed_by
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gptkb:Jonathan_Long
|
|
gptkbp:has
|
Pooling Layers
Activation Functions
Multiple Layers
Dropout Layers
|
|
gptkbp:has_achievements
|
End-to-End Training
State-of-the-art Results
|
|
https://www.w3.org/2000/01/rdf-schema#label
|
FCN-8
|
|
gptkbp:improves
|
Object Localization
Pixel-wise Classification
|
|
gptkbp:influences
|
Image Segmentation Techniques
|
|
gptkbp:input_output
|
gptkb:Photographer
Segmentation Map
|
|
gptkbp:inspired_by
|
gptkb:FCN-16s
gptkb:Seg_Net
|
|
gptkbp:is_evaluated_by
|
gptkb:Cityscapes_Dataset
F1 Score
Pixel Accuracy
PASCALVOC
Mean Intersection over Union (m Io U)
|
|
gptkbp:is_implemented_in
|
gptkb:Graphics_Processing_Unit
gptkb:Py_Torch
|
|
gptkbp:is_part_of
|
gptkb:viewpoint
gptkb:Artificial_Intelligence
gptkb:software_framework
Deep Learning Frameworks
|
|
gptkbp:is_used_in
|
gptkb:Autonomous_Vehicles
gptkb:software
gptkb:robot
Medical Imaging
Video Analysis
|
|
gptkbp:notable_for
|
Flexibility
Scalability
Robustness
High Performance
|
|
gptkbp:related_to
|
gptkb:Alumni_Association
gptkb:Deep_Lab
|
|
gptkbp:requires
|
Large Datasets
|
|
gptkbp:successor
|
gptkb:FCN-16s
gptkb:FCN-32s
|
|
gptkbp:supports
|
Real-time Processing
|
|
gptkbp:training
|
gptkb:Image_Net
gptkb:COCO_Dataset
|
|
gptkbp:uses
|
Loss Function
Skip Connections
Deconvolution Layers
|
|
gptkbp:year_created
|
gptkb:2015
|
|
gptkbp:bfsParent
|
gptkb:FCN-8s
|
|
gptkbp:bfsLayer
|
4
|