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gptkbp:instance_of
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gptkb:cosmic_ray_detector
|
|
gptkbp:applies_to
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computer vision
anchor boxes
|
|
gptkbp:architecture
|
single-stage detector
Single-stage detector
|
|
gptkbp:based_on
|
Focal Loss
|
|
gptkbp:competes_with
|
gptkb:Faster_R-CNN
gptkb:SSD
gptkb:YOLO
|
|
gptkbp:designed_for
|
single-stage object detection
|
|
gptkbp:developed_by
|
gptkb:Facebook_AI_Research
|
|
gptkbp:features
|
Focal Loss
|
|
gptkbp:has_achieved
|
state-of-the-art performance
|
|
gptkbp:has_variants
|
gptkb:Retina_Net_with_Mobile_Net
Retina Net with Res Net
|
|
https://www.w3.org/2000/01/rdf-schema#label
|
Retina Net
|
|
gptkbp:improves
|
object detection accuracy
class imbalance handling
|
|
gptkbp:input_output
|
varies
bounding boxes
class probabilities
bounding boxes and class scores
|
|
gptkbp:introduced_in
|
gptkb:2017
|
|
gptkbp:is_based_on
|
deep learning
|
|
gptkbp:is_benchmarking_model_for
|
object detection tasks
|
|
gptkbp:is_challenged_by
|
gptkb:SSD
gptkb:YOLO
|
|
gptkbp:is_documented_in
|
research papers
Git Hub repositories
|
|
gptkbp:is_evaluated_by
|
gptkb:Pascal_VOC
various benchmarks
mean Average Precision (m AP)
Io U (Intersection over Union)
|
|
gptkbp:is_implemented_in
|
gptkb:Tensor_Flow
gptkb:Py_Torch
|
|
gptkbp:is_influenced_by
|
gptkb:RPN_(Region_Proposal_Network)
gptkb:Faster_R-CNN
|
|
gptkbp:is_known_for
|
handling class imbalance
|
|
gptkbp:is_open_source
|
gptkb:true
|
|
gptkbp:is_optimized_for
|
real-time detection
speed and accuracy
|
|
gptkbp:is_part_of
|
deep learning frameworks
|
|
gptkbp:is_popular_in
|
deep learning community
computer vision community
|
|
gptkbp:is_related_to
|
image segmentation
object localization
|
|
gptkbp:is_supported_by
|
community contributions
|
|
gptkbp:is_tested_for
|
various datasets
|
|
gptkbp:is_trained_in
|
gptkb:COCO_dataset
gptkb:Pascal_VOC_dataset
|
|
gptkbp:is_used_in
|
gptkb:medical_imaging
gptkb:vehicles
gptkb:robotics
augmented reality
surveillance systems
facial recognition
retail analytics
|
|
gptkbp:requires
|
large datasets
large datasets for training
|
|
gptkbp:suitable_for
|
real-time applications
|
|
gptkbp:supports
|
multi-class detection
|
|
gptkbp:uses
|
gptkb:feature_pyramid_networks
gptkb:Res_Net
Focal Loss
|
|
gptkbp:utilizes
|
gptkb:feature_pyramid_networks
anchor boxes
|
|
gptkbp:bfsParent
|
gptkb:R-CNN
gptkb:YOLOv2
gptkb:YOLOv6
gptkb:Detectron2
gptkb:SSD_(Single_Shot_Multi_Box_Detector)
|
|
gptkbp:bfsLayer
|
6
|