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