Deep Lab

GPTKB entity

Statements (148)

Predicate	Object
gptkbp:instance_of	gptkb:Model gptkb:television_channel
gptkbp:applies_to	Image Processing semantic segmentation computer vision tasks
gptkbp:architectural_style	gptkb:Atrous_Convolution
gptkbp:based_on	gptkb:television_channel gptkb:Res_Net_architecture gptkb:Xception_architecture Fully Convolutional Networks (FCN)
gptkbp:developed_by	gptkb:Job_Search_Engine gptkb:Google_Research
gptkbp:enhances	Feature Extraction
gptkbp:first_introduced	gptkb:2016
gptkbp:first_released	gptkb:2016
gptkbp:has_achievements	state-of-the-art results state-of-the-art performance State-of-the-art results Semantic Segmentation Performance
gptkbp:has_variants	gptkb:Deep_Labv1 gptkb:Deep_Labv2 gptkb:Deep_Labv3 gptkb:Deep_Labv3+
gptkbp:has_version	gptkb:Deep_Lab_v1 gptkb:Deep_Lab_v2 gptkb:Deep_Lab_v3 gptkb:Deep_Lab_v3+
https://www.w3.org/2000/01/rdf-schema#label	Deep Lab
gptkbp:improves	Feature Extraction Segmentation Accuracy image understanding image segmentation accuracy
gptkbp:is_adopted_by	Startups Academic Institutions Industry Applications Tech Companies
gptkbp:is_analyzed_in	Visual Recognition Image Segmentation Techniques Scene Parsing Urban Scene Understanding
gptkbp:is_available_on	gptkb:zoo gptkb:Py_Torch_Hub gptkb:Tensor_Flow_Hub
gptkbp:is_compatible_with	gptkb:Graphics_Processing_Unit gptkb:Py_Torch GPU acceleration multi-GPU training
gptkbp:is_documented_in	gptkb:archive research papers academic papers technical reports Git Hub repositories
gptkbp:is_evaluated_by	gptkb:COCO_dataset Cityscapes PASCALVOC Object Detection Tasks AD E20 K LIP dataset SBD dataset Instance Segmentation Tasks Segmentation Tasks
gptkbp:is_implemented_in	gptkb:Graphics_Processing_Unit gptkb:Py_Torch
gptkbp:is_incorporated_in	Conditional Random Fields Fully Connected Conditional Random Fields
gptkbp:is_influenced_by	gptkb:Alumni_Association gptkb:Mask_R-CNN gptkb:Seg_Net Fully Convolutional Networks
gptkbp:is_known_for	high accuracy real-time performance semantic segmentation pixel-wise classification adaptability to different domains contextual information utilization high-resolution segmentation robustness to occlusions
gptkbp:is_open_source	gptkb:theorem
gptkbp:is_optimized_for	gptkb:smartphone large-scale datasets GPU Processing
gptkbp:is_part_of	gptkb:viewpoint gptkb:Artificial_Intelligence gptkb:Deep_Learning computer vision deep learning frameworks Deep Learning frameworks
gptkbp:is_popular_in	Computer Vision Community
gptkbp:is_recognized_for	High Performance Innovative Architecture Flexibility in Applications
gptkbp:is_related_to	image classification object detection
gptkbp:is_supported_by	gptkb:software_framework gptkb:document gptkb:Research_Institute Research Publications community contributions
gptkbp:is_used_for	Semantic Segmentation
gptkbp:is_used_in	gptkb:Autonomous_Vehicles gptkb:sports_team gptkb:Photographer gptkb:software gptkb:robot gptkb:metropolitan_area gptkb:brand Autonomous Driving agriculture Medical Imaging augmented reality autonomous driving e-commerce environmental monitoring gaming industry image editing artificial intelligence research video analysis facial recognition scene understanding image restoration social media applications agriculture technology object tracking medical image analysis security surveillance
gptkbp:performance	gptkb:Cityscapes_Dataset gptkb:COCO_Dataset PASCALVOC AD E20 K Dataset
gptkbp:provides	pixel-level classification Real-Time Segmentation
gptkbp:published_by	gptkb:ICCV_2019 gptkb:ECCV_2018 gptkb:CVPR_2017
gptkbp:requires	GPU for training
gptkbp:successor	gptkb:FCN_(Fully_Convolutional_Networks)
gptkbp:supports	multi-scale prediction multi-scale feature extraction Multi-Scale Contextual Information Multi-scale Contextual Information
gptkbp:training	large datasets
gptkbp:uses	gptkb:Deep_Convolutional_Neural_Networks convolutional neural networks
gptkbp:utilizes	gptkb:Atrous_Convolution Conditional Random Fields atrous convolution
gptkbp:bfsParent	gptkb:television_channel
gptkbp:bfsLayer	3