|
gptkbp:instance_of
|
gptkb:AI_technology
|
|
gptkbp:adapted_into
|
Real-time Applications
|
|
gptkbp:applies_to
|
Semantic Segmentation
|
|
gptkbp:based_on
|
gptkb:neural_networks
|
|
gptkbp:developed_by
|
gptkb:Google
|
|
gptkbp:has_achieved
|
State-of-the-art performance
|
|
https://www.w3.org/2000/01/rdf-schema#label
|
Deep Labv3+
|
|
gptkbp:improves
|
gptkb:Deep_Labv3
|
|
gptkbp:includes
|
gptkb:Spatial_Pyramid_Pooling
|
|
gptkbp:is_based_on
|
Atrous Spatial Pyramid Pooling
|
|
gptkbp:is_compatible_with
|
gptkb:NVIDIA_GPUs
|
|
gptkbp:is_documented_in
|
Git Hub Repositories
|
|
gptkbp:is_enhanced_by
|
gptkb:stage_adaptation
|
|
gptkbp:is_evaluated_by
|
gptkb:ADE20_K_Dataset
Mean Intersection over Union (m Io U)
|
|
gptkbp:is_implemented_in
|
gptkb:Tensor_Flow
|
|
gptkbp:is_known_for
|
High Accuracy
|
|
gptkbp:is_optimized_for
|
Edge Devices
|
|
gptkbp:is_part_of
|
Tensor Flow Models
|
|
gptkbp:is_popular_in
|
Computer Vision Community
|
|
gptkbp:is_supported_by
|
Research Papers
|
|
gptkbp:is_trained_in
|
gptkb:Cityscapes_Dataset
gptkb:Pascal_VOC_Dataset
gptkb:COCO_Dataset
|
|
gptkbp:is_used_in
|
Autonomous Driving
Medical Image Analysis
|
|
gptkbp:is_utilized_in
|
gptkb:Augmented_Reality
gptkb:fashion_industry
gptkb:sports_team
gptkb:virtual_reality
gptkb:advertising
gptkb:urban_planning
gptkb:Content_Creation
gptkb:robotics
Environmental Monitoring
Object Detection
Facial Recognition
Surveillance Systems
Agricultural Monitoring
Gaming Industry
Image Restoration
Video Analysis
Scene Understanding
|
|
gptkbp:performance
|
gptkb:Na'vi
gptkb:Seg_Net
FCN
PSPNet
|
|
gptkbp:released_in
|
gptkb:2018
|
|
gptkbp:supports
|
Multi-scale Contextual Information
|
|
gptkbp:used_for
|
Image Segmentation
|
|
gptkbp:utilizes
|
gptkb:Atrous_Convolution
|
|
gptkbp:bfsParent
|
gptkb:Deep_Lab
|
|
gptkbp:bfsLayer
|
5
|