|
gptkbp:instance_of
|
gptkb:cosmic_ray_detector
|
|
gptkbp:applies_to
|
Semantic Segmentation
|
|
gptkbp:developed_by
|
gptkb:Google_Research
|
|
gptkbp:has
|
Open Source Code
|
|
gptkbp:has_achieved
|
State-of-the-art Results
|
|
https://www.w3.org/2000/01/rdf-schema#label
|
Deep Lab v1
|
|
gptkbp:improves
|
Segmentation Accuracy
|
|
gptkbp:influenced_by
|
gptkb:Seg_Net
FCN
|
|
gptkbp:is_adopted_by
|
Research Institutions
Industry Applications
|
|
gptkbp:is_based_on
|
Fully Convolutional Networks
|
|
gptkbp:is_compatible_with
|
gptkb:NVIDIA_GPUs
gptkb:TPUs
|
|
gptkbp:is_documented_in
|
Research Papers
|
|
gptkbp:is_evaluated_by
|
gptkb:Cityscapes_Dataset
gptkb:ADE20_K_Dataset
gptkb:PASCAL_VOC_Dataset
gptkb:COCO_Dataset
|
|
gptkbp:is_followed_by
|
gptkb:Deep_Lab_v2
gptkb:Deep_Lab_v3
gptkb:Deep_Lab_v3+
|
|
gptkbp:is_implemented_in
|
gptkb:Tensor_Flow
|
|
gptkbp:is_known_for
|
Scalability
Flexibility in Architecture
Handling of Complex Scenes
High Performance in Real-Time Applications
High Resolution Outputs
Robustness to Occlusions
|
|
gptkbp:is_optimized_for
|
Real-Time Processing
|
|
gptkbp:is_part_of
|
gptkb:Deep_Lab_Family
Deep Learning Frameworks
Computer Vision Research
|
|
gptkbp:is_related_to
|
gptkb:Computer_Vision
gptkb:Artificial_Intelligence
gptkb:Deep_Learning
|
|
gptkbp:is_supported_by
|
Community Contributions
Pre-trained Models
|
|
gptkbp:is_trained_in
|
Large Datasets
|
|
gptkbp:is_used_for
|
Object Detection
Image Analysis
Scene Understanding
|
|
gptkbp:is_used_in
|
gptkb:robotics
Autonomous Driving Systems
Medical Image Analysis
Augmented Reality Applications
Satellite Image Processing
|
|
gptkbp:release_year
|
gptkb:2016
|
|
gptkbp:supports
|
Multi-Scale Contextual Information
|
|
gptkbp:uses
|
gptkb:neural_networks
|
|
gptkbp:utilizes
|
gptkb:Atrous_Convolution
|
|
gptkbp:bfsParent
|
gptkb:Deep_Lab
|
|
gptkbp:bfsLayer
|
5
|