RetinaNet

E431010

RetinaNet is a deep learning–based one-stage object detection model known for its focal loss function, which effectively addresses class imbalance to achieve high accuracy and speed.

All labels observed (2)

Label Occurrences
RetinaNet canonical 2
Focal Loss for Dense Object Detection 1

How this entity was disambiguated

Statements (49)

Predicate Object
instanceOf convolutional neural network ⓘ
deep learning model ⓘ
object detection model ⓘ
one-stage detector ⓘ
accuracyCharacteristic high detection accuracy ⓘ
addressesProblem class imbalance in object detection ⓘ
foreground-background class imbalance ⓘ
basedOn cross-entropy loss ⓘ
category computer vision model ⓘ
codeAvailability open source implementations exist ⓘ
comparedTo two-stage detectors ⓘ
designedFor dense object detection ⓘ
detectionStageType single-stage ⓘ
evaluatedOn COCO dataset ⓘ
field computer vision ⓘ
deep learning ⓘ
hasArchitectureComponent box regression subnet ⓘ
classification subnet ⓘ
hasAuthor Kaiming He ⓘ
Piotr Dollár ⓘ
Priya Goyal ⓘ
Ross Girshick ⓘ
Tsung-Yi Lin ⓘ
hasBackbone ResNet ⓘ
ResNet-101 ⓘ
linked to: ResNet

ResNet-50 ⓘ
linked to: ResNet
hasHyperparameter alpha in focal loss ⓘ
gamma in focal loss ⓘ
hasKeyConcept focal loss ⓘ
implementationFramework Caffe2 ⓘ
PyTorch ⓘ
TensorFlow ⓘ
inputType natural images ⓘ
introducedInPaper Focal Loss for Dense Object Detection ⓘ
linked to: RetinaNet
lossFunctionProperty down-weights easy examples ⓘ
focuses on hard, misclassified examples ⓘ
optimizationObjective focal loss ⓘ
outperforms many two-stage detectors on COCO ⓘ
outputType bounding boxes ⓘ
class probabilities ⓘ
publicationYear 2017 ⓘ
speedCharacteristic high inference speed ⓘ
task object detection in images ⓘ
trainingDataset MS COCO ⓘ
linked to: COCO
trainingType supervised learning ⓘ
usesAnchorBoxes true ⓘ
usesComponent FPN ⓘ
Feature Pyramid Network ⓘ
linked to: FPN
usesMultiScaleFeatures true ⓘ

How these facts were elicited

Referenced by (3)

Full triples — surface form annotated when it differs from this entity's canonical label.

torchvision → modelFamily → RetinaNet ⓘ
subject linked to: torchvision (ecosystem)
RetinaNet → introducedInPaper → Focal Loss for Dense Object Detection ⓘ
linked to: RetinaNet
DETR → comparedTo → RetinaNet ⓘ