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gptkbp:instance_of
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gptkb:cosmic_ray_detector
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gptkbp:applies_to
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computer vision
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gptkbp:based_on
|
region proposals
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gptkbp:developed_by
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gptkb:Ross_Girshick
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gptkbp:has_achieved
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state-of-the-art performance
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https://www.w3.org/2000/01/rdf-schema#label
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R-CNN
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gptkbp:improves
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object localization
|
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gptkbp:influenced_by
|
SVM classifiers
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gptkbp:input_output
|
bounding boxes
class labels
|
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gptkbp:inspired_by
|
overlapping bounding boxes
|
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gptkbp:is_compared_to
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gptkb:SSD
gptkb:Retina_Net
gptkb:YOLO
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gptkbp:is_evaluated_by
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gptkb:PASCAL_VOC
gptkb:COCO_dataset
|
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gptkbp:is_implemented_in
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gptkb:Tensor_Flow
gptkb:Caffe_framework
gptkb:Py_Torch
|
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gptkbp:is_known_for
|
high accuracy
high computational cost
slow inference speed
|
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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:machine_learning
image classification
object detection
transfer learning
feature extraction
|
|
gptkbp:is_trained_in
|
large datasets
|
|
gptkbp:is_used_for
|
scene understanding
image retrieval
object tracking
real-time detection
|
|
gptkbp:is_used_in
|
gptkb:sports_team
gptkb:medical_imaging
gptkb:vehicles
gptkb:robotics
augmented reality
environmental monitoring
smart cities
wildlife conservation
surveillance systems
video analysis
facial recognition
image segmentation
retail analytics
agriculture technology
|
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gptkbp:release_year
|
gptkb:2014
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|
gptkbp:requires
|
GPU acceleration
selective search
|
|
gptkbp:successor
|
gptkb:Faster_R-CNN
gptkb:Fast_R-CNN
|
|
gptkbp:uses
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gptkb:neural_networks
|
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gptkbp:bfsParent
|
gptkb:YOLO
gptkb:Mask_R-CNN
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gptkbp:bfsLayer
|
5
|