Deep Lab

GPTKB entity

Statements (148)

Predicate	Object
gptkbp:instance_of	gptkb:neural_networks gptkb:cosmic_ray_detector
gptkbp:applies_to	Image Processing semantic segmentation computer vision tasks
gptkbp:architecture	gptkb:Atrous_Convolution
gptkbp:developed_by	gptkb:Google gptkb:Google_Research
gptkbp:enhances	Feature Extraction
gptkbp:first_introduced	gptkb:2016
gptkbp:first_released	gptkb:2016
gptkbp:has_achieved	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_based_on	gptkb:neural_networks gptkb:Res_Net_architecture gptkb:Xception_architecture Fully Convolutional Networks (FCN)
gptkbp:is_compatible_with	gptkb:Tensor_Flow gptkb:Py_Torch GPU acceleration multi-GPU training
gptkbp:is_documented_in	gptkb:Git_Hub research papers academic papers technical reports Git Hub repositories
gptkbp:is_evaluated_by	gptkb:PASCAL_VOC gptkb:ADE20_K gptkb:COCO_dataset Cityscapes Object Detection Tasks LIP dataset SBD dataset Instance Segmentation Tasks Segmentation Tasks
gptkbp:is_implemented_in	gptkb:Tensor_Flow gptkb:Py_Torch
gptkbp:is_incorporated_in	Conditional Random Fields Fully Connected Conditional Random Fields
gptkbp:is_influenced_by	gptkb:Na'vi 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:true
gptkbp:is_optimized_for	gptkb:mobile_devices large-scale datasets GPU Processing
gptkbp:is_part_of	gptkb:Computer_Vision 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:Documentation gptkb:open-source_software gptkb:scientific_community Research Publications community contributions
gptkbp:is_trained_in	large datasets
gptkbp:is_used_in	gptkb:Augmented_Reality gptkb:fashion_industry gptkb:Autonomous_Vehicles gptkb:sports_team gptkb:medical_imaging gptkb:urban_planning gptkb:robotics 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:ADE20_K_Dataset gptkb:PASCAL_VOC gptkb:COCO_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:used_for	Semantic Segmentation
gptkbp:uses	gptkb:Deep_Convolutional_Neural_Networks convolutional neural networks
gptkbp:utilizes	gptkb:Atrous_Convolution Conditional Random Fields atrous convolution
gptkbp:bfsParent	gptkb:neural_networks
gptkbp:bfsLayer	4