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Language-Driven Region Pointer Advancement for Controllable Image
  Captioning

Language-Driven Region Pointer Advancement for Controllable Image Captioning

30 November 2020
Annika Lindh
R. Ross
John D. Kelleher
ArXivPDFHTML

Papers citing "Language-Driven Region Pointer Advancement for Controllable Image Captioning"

6 / 6 papers shown
Title
Show, Control and Tell: A Framework for Generating Controllable and
  Grounded Captions
Show, Control and Tell: A Framework for Generating Controllable and Grounded Captions
Marcella Cornia
Lorenzo Baraldi
Rita Cucchiara
DiffM
50
175
0
26 Nov 2018
Bottom-Up and Top-Down Attention for Image Captioning and Visual
  Question Answering
Bottom-Up and Top-Down Attention for Image Captioning and Visual Question Answering
Peter Anderson
Xiaodong He
Chris Buehler
Damien Teney
Mark Johnson
Stephen Gould
Lei Zhang
AIMat
97
4,201
0
25 Jul 2017
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
162
2,033
0
19 May 2015
Show, Attend and Tell: Neural Image Caption Generation with Visual
  Attention
Show, Attend and Tell: Neural Image Caption Generation with Visual Attention
Ke Xu
Jimmy Ba
Ryan Kiros
Kyunghyun Cho
Aaron Courville
Ruslan Salakhutdinov
R. Zemel
Yoshua Bengio
DiffM
268
10,034
0
10 Feb 2015
CIDEr: Consensus-based Image Description Evaluation
CIDEr: Consensus-based Image Description Evaluation
Ramakrishna Vedantam
C. L. Zitnick
Devi Parikh
208
4,451
0
20 Nov 2014
From Captions to Visual Concepts and Back
From Captions to Visual Concepts and Back
Hao Fang
Saurabh Gupta
F. Iandola
R. Srivastava
Li Deng
...
Xiaodong He
Margaret Mitchell
John C. Platt
C. L. Zitnick
Geoffrey Zweig
VLM
62
1,310
0
18 Nov 2014
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