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gptkbp:instance_of
|
gptkb:cosmic_ray_detector
|
|
gptkbp:achieves_state-of-the-art_results_in
|
gptkb:PASCAL_VOC
gptkb:COCO_dataset
|
|
gptkbp:applies_to
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image classification
semantic segmentation
object localization
|
|
gptkbp:developed_by
|
gptkb:Ross_Girshick
gptkb:Shaoqing_Ren
gptkb:Kaiming_He
Jian Sun
|
|
gptkbp:first_introduced
|
gptkb:2014
|
|
gptkbp:has_applications_in
|
gptkb:robotics
augmented reality
image retrieval
|
|
gptkbp:has_expansion
|
gptkb:Retina_Net
gptkb:Cascade_R-CNN
gptkb:Mask_R-CNN
|
|
gptkbp:has_limitations
|
real-time applications
|
|
https://www.w3.org/2000/01/rdf-schema#label
|
R-CNN family
|
|
gptkbp:improves
|
traditional object detection methods
|
|
gptkbp:includes
|
gptkb:Faster_R-CNN
gptkb:R-CNN
gptkb:Fast_R-CNN
|
|
gptkbp:is_based_on
|
deep learning
|
|
gptkbp:is_evaluated_by
|
mean Average Precision (m AP)
|
|
gptkbp:is_implemented_in
|
gptkb:Tensor_Flow
gptkb:Py_Torch
|
|
gptkbp:is_influenced_by
|
gptkb:Res_Net
gptkb:VGGNet
gptkb:Alex_Net
|
|
gptkbp:is_known_for
|
high accuracy
slow inference speed
|
|
gptkbp:is_part_of
|
computer vision
|
|
gptkbp:is_related_to
|
gptkb:SSD
gptkb:YOLO
|
|
gptkbp:is_used_in
|
gptkb:medical_imaging
gptkb:vehicles
facial recognition
video surveillance
|
|
gptkbp:requires
|
significant computational resources
large annotated datasets
|
|
gptkbp:uses
|
convolutional neural networks
region proposal networks
|
|
gptkbp:bfsParent
|
gptkb:R-CNN
|
|
gptkbp:bfsLayer
|
6
|