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Referring Transformer: A One-step Approach to Multi-task Visual
  Grounding

Referring Transformer: A One-step Approach to Multi-task Visual Grounding

6 June 2021
Muchen Li
Leonid Sigal
    ObjD
ArXivPDFHTML

Papers citing "Referring Transformer: A One-step Approach to Multi-task Visual Grounding"

4 / 54 papers shown
Title
Generation and Comprehension of Unambiguous Object Descriptions
Generation and Comprehension of Unambiguous Object Descriptions
Junhua Mao
Jonathan Huang
Alexander Toshev
Oana-Maria Camburu
Alan Yuille
Kevin Patrick Murphy
ObjD
112
1,345
0
07 Nov 2015
Faster R-CNN: Towards Real-Time Object Detection with Region Proposal
  Networks
Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks
Shaoqing Ren
Kaiming He
Ross B. Girshick
Jian Sun
AIMat
ObjD
467
62,122
0
04 Jun 2015
Flickr30k Entities: Collecting Region-to-Phrase Correspondences for
  Richer Image-to-Sentence Models
Flickr30k Entities: Collecting Region-to-Phrase Correspondences for Richer Image-to-Sentence Models
Bryan A. Plummer
Liwei Wang
Christopher M. Cervantes
Juan C. Caicedo
Julia Hockenmaier
Svetlana Lazebnik
187
2,047
0
19 May 2015
Microsoft COCO: Common Objects in Context
Microsoft COCO: Common Objects in Context
Nayeon Lee
Michael Maire
Serge J. Belongie
Lubomir Bourdev
Ross B. Girshick
James Hays
Pietro Perona
Deva Ramanan
C. L. Zitnick
Piotr Dollár
ObjD
373
43,524
0
01 May 2014
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