R-CNN

GPTKB entity

Statements (60)

Predicate	Object
gptkbp:instance_of	gptkb:Model
gptkbp:bfsLayer	4
gptkbp:bfsParent	gptkb:Mask_R-CNN
gptkbp:applies_to	computer vision
gptkbp:based_on	region proposals
gptkbp:developed_by	gptkb:Ross_Girshick
gptkbp:has_achievements	state-of-the-art performance
https://www.w3.org/2000/01/rdf-schema#label	R-CNN
gptkbp:improves	object localization
gptkbp:influenced_by	SVM classifiers
gptkbp:input_output	bounding boxes class labels
gptkbp:inspired_by	overlapping bounding boxes
gptkbp:is_compared_to	gptkb:CEO gptkb:Retina_Net gptkb:YOLO
gptkbp:is_evaluated_by	gptkb:COCO_dataset PASCALVOC
gptkbp:is_implemented_in	gptkb:Caffe_framework gptkb:Graphics_Processing_Unit gptkb:Py_Torch
gptkbp:is_known_for	high accuracy high computational cost slow inference speed
gptkbp:is_part_of	gptkb:R-CNN_family deep learning AI applications deep learning frameworks computer vision research neural network architectures
gptkbp:is_related_to	gptkb:software_framework image classification object detection transfer learning feature extraction
gptkbp:is_used_for	scene understanding image retrieval object tracking real-time detection
gptkbp:is_used_in	gptkb:sports_team gptkb:Photographer gptkb:robot gptkb:engine augmented reality environmental monitoring smart cities wildlife conservation surveillance systems video analysis facial recognition image segmentation retail analytics agriculture technology
gptkbp:release_year	gptkb:2014
gptkbp:requires	GPU acceleration selective search
gptkbp:successor	gptkb:Faster_R-CNN gptkb:Fast_R-CNN
gptkbp:training	large datasets
gptkbp:uses	gptkb:television_channel