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gptkbp:instanceOf
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gptkb:model
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gptkbp:architecture
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gptkb:transformation
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gptkbp:author
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gptkb:Nicolas_Usunier
gptkb:Francisco_Massa
gptkb:Alexander_Kirillov
gptkb:Gabriel_Synnaeve
gptkb:Nicolas_Carion
gptkb:Sergey_Zagoruyko
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gptkbp:category
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gptkb:artificial_intelligence
gptkb:machine_learning
computer vision
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gptkbp:citation
|
over 3000 (as of 2023)
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gptkbp:developedBy
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gptkb:Facebook_AI_Research
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gptkbp:features
|
end-to-end object detection
no need for anchor boxes
no need for non-maximum suppression
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gptkbp:fullName
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gptkb:Detection_Transformer
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gptkbp:github
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https://github.com/facebookresearch/detr
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https://www.w3.org/2000/01/rdf-schema#label
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DETR
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gptkbp:input
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gptkb:illustrator
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gptkbp:inspiredBy
|
transformer architecture
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gptkbp:introducedIn
|
2020
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gptkbp:language
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gptkb:Python
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gptkbp:license
|
gptkb:MIT_License
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gptkbp:limitation
|
slow convergence
difficulty with small objects
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|
gptkbp:notableContributor
|
first to use transformers for object detection
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|
gptkbp:notablePublication
|
gptkb:End-to-End_Object_Detection_with_Transformers
|
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gptkbp:openSource
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gptkb:PyTorch
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gptkbp:output
|
class labels
bounding boxes
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gptkbp:performanceContext
|
competitive with Faster R-CNN
|
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gptkbp:publicationDate
|
gptkb:European_Conference_on_Computer_Vision_(ECCV)_2020
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gptkbp:relatedModel
|
gptkb:Conditional_DETR
gptkb:DN-DETR
gptkb:Deformable_DETR
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gptkbp:trainer
|
gptkb:COCO
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gptkbp:trainingTime
|
longer than traditional detectors
|
|
gptkbp:usedFor
|
image segmentation
object detection
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gptkbp:bfsParent
|
gptkb:Department_for_the_Environment,_Transport_and_the_Regions
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gptkbp:bfsLayer
|
5
|