DETR: End-to-End Object Detection with Transformers
GPTKB entity
Statements (23)
| Predicate | Object |
|---|---|
| gptkbp:instanceOf |
gptkb:academic_journal
|
| gptkbp:affiliation |
gptkb:Facebook_AI_Research
|
| gptkbp:author |
gptkb:Nicolas_Usunier
gptkb:Francisco_Massa gptkb:Alexander_Kirillov gptkb:Gabriel_Synnaeve gptkb:Nicolas_Carion gptkb:Sergey_Zagoruyko |
| gptkbp:citation |
over 5000
|
| gptkbp:influenced |
DETR variants (e.g., Deformable DETR, Conditional DETR)
|
| gptkbp:language |
English
|
| gptkbp:memiliki_tugas |
object detection
|
| gptkbp:proposedBy |
end-to-end object detection model
|
| gptkbp:publicationYear |
2020
|
| gptkbp:publishedIn |
gptkb:European_Conference_on_Computer_Vision
|
| gptkbp:removes |
non-maximum suppression
need for hand-designed anchor generation |
| gptkbp:repository |
https://github.com/facebookresearch/detr
|
| gptkbp:uses |
transformer architecture
convolutional neural network backbone |
| gptkbp:bfsParent |
gptkb:Hugo_Touvron
|
| gptkbp:bfsLayer |
7
|
| https://www.w3.org/2000/01/rdf-schema#label |
DETR: End-to-End Object Detection with Transformers
|