mask R-CNN

URI: https://gptkb.org/entity/mask_R-CNN

GPTKB entity

Statements (57)

Predicate	Object
gptkbp:instance_of	gptkb:software_framework
gptkbp:bfsLayer	5
gptkbp:bfsParent	gptkb:Detectron
gptkbp:applies_to	gptkb:Photographer autonomous driving video analysis
gptkbp:based_on	gptkb:Faster_R-CNN
gptkbp:can_be_used_with	other models
gptkbp:challenges	gptkb:railway_line
gptkbp:developed_by	gptkb:Facebook_AI_Research
gptkbp:enhances	object localization
gptkbp:has	backbone networks
gptkbp:has_achievements	state-of-the-art results
gptkbp:has_expansion	gptkb:Faster_R-CNN
https://www.w3.org/2000/01/rdf-schema#label	mask R-CNN
gptkbp:improves	segmentation accuracy
gptkbp:includes	Fully Convolutional Networks
gptkbp:input_output	bounding boxes segmentation masks
gptkbp:introduced	gptkb:2017
gptkbp:is_adopted_by	industry leaders
gptkbp:is_compatible_with	GPU acceleration
gptkbp:is_documented_in	Git Hub repositories
gptkbp:is_evaluated_by	gptkb:Cityscapes_dataset gptkb:KITTI_dataset benchmark datasets mean Average Precision (m AP)
gptkbp:is_implemented_in	gptkb:Graphics_Processing_Unit gptkb:Py_Torch
gptkbp:is_known_for	flexibility high accuracy
gptkbp:is_optimized_for	transfer learning
gptkbp:is_part_of	gptkb:Research_Institute computer vision algorithms
gptkbp:is_popular_in	computer vision community
gptkbp:is_scalable	large images
gptkbp:is_supported_by	open-source community
gptkbp:is_used_for	real-time applications image classification object detection image segmentation instance segmentation
gptkbp:is_used_in	gptkb:robot research papers surveillance systems commercial applications augmented reality applications
gptkbp:performance	object detection tasks image segmentation tasks
gptkbp:provides	pixel-level segmentation
gptkbp:requires	large datasets hyperparameter tuning
gptkbp:supports	multi-task learning
gptkbp:training	gptkb:COCO_dataset gptkb:Pascal_VOC_dataset
gptkbp:uses	convolutional neural networks
gptkbp:utilizes	Region Proposal Network