|
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_introduced
|
gptkb:2016
|
|
gptkbp:has_achieved
|
state-of-the-art performance
|
|
gptkbp:has_applications_in
|
augmented reality
satellite imagery analysis
urban scene understanding
|
|
gptkbp:has_publications
|
gptkb:Encoder-Decoder_with_Atrous_Separable_Convolution_for_Semantic_Image_Segmentation
Deep Lab v3: Rethinking Atrous Convolution for Semantic Image Segmentation
Deep Lab v3+: Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation
Deep Lab: Semantic Image Segmentation with Deep Convolutional Nets, Atrous Convolution, and Conditional Random Fields
|
|
https://www.w3.org/2000/01/rdf-schema#label
|
Deep Lab family of models
|
|
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
|
gptkb:Git_Hub
tutorials
online courses
research articles
technical reports
|
|
gptkbp:is_evaluated_by
|
gptkb:PASCAL_VOC_dataset
gptkb:COCO_dataset
gptkb:Cityscapes_dataset
gptkb:ADE20_K_dataset
|
|
gptkbp:is_influenced_by
|
gptkb:Na'vi
gptkb:Seg_Net
Fully Convolutional Networks
|
|
gptkbp:is_open_source
|
gptkb:true
|
|
gptkbp:is_optimized_for
|
real-time inference
|
|
gptkbp:is_part_of
|
deep learning community
computer vision field
|
|
gptkbp:is_scalable
|
high-resolution images
|
|
gptkbp:is_supported_by
|
community contributions
|
|
gptkbp:is_trained_in
|
large-scale datasets
|
|
gptkbp:is_used_by
|
gptkb:developers
gptkb:researchers
data scientists
|
|
gptkbp:is_used_in
|
gptkb:robotics
autonomous driving
medical image analysis
|
|
gptkbp:performance
|
pixel accuracy
mean Intersection over Union (m Io U)
|
|
gptkbp:requires
|
large memory capacity
GPU for training
|
|
gptkbp:security
|
image noise
occlusions
lighting variations
|
|
gptkbp:supports
|
multi-scale feature extraction
|
|
gptkbp:uses
|
gptkb:Atrous_Convolution
|
|
gptkbp:utilizes
|
Conditional Random Fields
|
|
gptkbp:bfsParent
|
gptkb:Deep_Lab_v3+
|
|
gptkbp:bfsLayer
|
6
|