RPN (Region Proposal Network)
GPTKB entity
Statements (55)
Predicate | Object |
---|---|
gptkbp:instance_of |
gptkb:neural_networks
|
gptkbp:applies_to |
sliding window approach
|
gptkbp:can_be_combined_with |
gptkb:mask_R-CNN
|
gptkbp:developed_by |
gptkb:Shaoqing_Ren
|
gptkbp:enhances |
feature extraction
|
https://www.w3.org/2000/01/rdf-schema#label |
RPN (Region Proposal Network)
|
gptkbp:improves |
object detection speed
|
gptkbp:input_output |
bounding box proposals
|
gptkbp:introduced |
region proposals
|
gptkbp:is_based_on |
convolutional neural networks
|
gptkbp:is_evaluated_by |
gptkb:PASCAL_VOC_dataset
gptkb:COCO_dataset mean Average Precision (m AP) |
gptkbp:is_implemented_in |
gptkb:Tensor_Flow
gptkb:Py_Torch |
gptkbp:is_optimized_for |
real-time applications
|
gptkbp:is_part_of |
deep learning frameworks
|
gptkbp:is_related_to |
gptkb:Region-based_CNN_(R-CNN)
|
gptkbp:is_used_for |
instance segmentation
|
gptkbp:is_used_in |
gptkb:sports_team
gptkb:medical_imaging gptkb:smartphone gptkb:drones gptkb:robotics data analysis social media platforms augmented reality e-commerce gaming industry industrial automation machine learning applications natural language processing smart cities security systems transportation systems artificial intelligence research image classification self-driving cars facial recognition image segmentation scene understanding advertising technology video surveillance augmented reality applications wildlife monitoring computer vision tasks |
gptkbp:operates |
feature maps
|
gptkbp:part_of |
gptkb:Faster_R-CNN
|
gptkbp:reduces |
computational cost
|
gptkbp:requires |
large datasets for training
|
gptkbp:training |
end-to-end training
|
gptkbp:used_in |
object detection
|
gptkbp:utilizes |
anchor boxes
|
gptkbp:bfsParent |
gptkb:Retina_Net
|
gptkbp:bfsLayer |
7
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