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Interactive Machine Learning for Image Captioning

Interactive Machine Learning for Image Captioning

28 February 2022
Mareike Hartmann
Aliki Anagnostopoulou
Daniel Sonntag
    VLM
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Papers citing "Interactive Machine Learning for Image Captioning"

27 / 27 papers shown
Title
Similar Scenes arouse Similar Emotions: Parallel Data Augmentation for
  Stylized Image Captioning
Similar Scenes arouse Similar Emotions: Parallel Data Augmentation for Stylized Image Captioning
Guodun Li
Yuchen Zhai
Zehao Lin
Yin Zhang
79
21
0
26 Aug 2021
A Survey of Data Augmentation Approaches for NLP
A Survey of Data Augmentation Approaches for NLP
Steven Y. Feng
Varun Gangal
Jason W. Wei
Sarath Chandar
Soroush Vosoughi
Teruko Mitamura
Eduard H. Hovy
AIMat
79
808
0
07 May 2021
Human-like Controllable Image Captioning with Verb-specific Semantic
  Roles
Human-like Controllable Image Captioning with Verb-specific Semantic Roles
Long Chen
Zhihong Jiang
Jun Xiao
Wei Liu
59
75
0
22 Mar 2021
Image Captioning using Deep Stacked LSTMs, Contextual Word Embeddings
  and Data Augmentation
Image Captioning using Deep Stacked LSTMs, Contextual Word Embeddings and Data Augmentation
Sulabh Katiyar
S. Borgohain
VLM
52
14
0
22 Feb 2021
RATT: Recurrent Attention to Transient Tasks for Continual Image
  Captioning
RATT: Recurrent Attention to Transient Tasks for Continual Image Captioning
Riccardo Del Chiaro
Bartlomiej Twardowski
Andrew D. Bagdanov
Joost van de Weijer
CLL
VLM
40
40
0
13 Jul 2020
Say As You Wish: Fine-grained Control of Image Caption Generation with
  Abstract Scene Graphs
Say As You Wish: Fine-grained Control of Image Caption Generation with Abstract Scene Graphs
Shizhe Chen
Qin Jin
Peng Wang
Qi Wu
DiffM
67
216
0
01 Mar 2020
Atalaya at TASS 2019: Data Augmentation and Robust Embeddings for
  Sentiment Analysis
Atalaya at TASS 2019: Data Augmentation and Robust Embeddings for Sentiment Analysis
Franco Luque
33
26
0
25 Sep 2019
CutMix: Regularization Strategy to Train Strong Classifiers with
  Localizable Features
CutMix: Regularization Strategy to Train Strong Classifiers with Localizable Features
Sangdoo Yun
Dongyoon Han
Seong Joon Oh
Sanghyuk Chun
Junsuk Choe
Y. Yoo
OOD
572
4,735
0
13 May 2019
EDA: Easy Data Augmentation Techniques for Boosting Performance on Text
  Classification Tasks
EDA: Easy Data Augmentation Techniques for Boosting Performance on Text Classification Tasks
Jason W. Wei
Kai Zou
76
1,931
0
31 Jan 2019
Learning to Caption Images through a Lifetime by Asking Questions
Learning to Caption Images through a Lifetime by Asking Questions
Tingke Shen
Amlan Kar
Sanja Fidler
36
31
0
01 Dec 2018
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
57
175
0
26 Nov 2018
Data Augmentation using Random Image Cropping and Patching for Deep CNNs
Data Augmentation using Random Image Cropping and Patching for Deep CNNs
Ryo Takahashi
Takashi Matsubara
K. Uehara
39
327
0
22 Nov 2018
Intention Oriented Image Captions with Guiding Objects
Intention Oriented Image Captions with Guiding Objects
Yue Zheng
Yali Li
Shengjin Wang
31
55
0
19 Nov 2018
BERT: Pre-training of Deep Bidirectional Transformers for Language
  Understanding
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
Jacob Devlin
Ming-Wei Chang
Kenton Lee
Kristina Toutanova
VLM
SSL
SSeg
917
93,936
0
11 Oct 2018
Deep Bayesian Active Learning for Natural Language Processing: Results
  of a Large-Scale Empirical Study
Deep Bayesian Active Learning for Natural Language Processing: Results of a Large-Scale Empirical Study
Aditya Siddhant
Zachary Chase Lipton
AI4CE
BDL
26
202
0
16 Aug 2018
Practical Obstacles to Deploying Active Learning
Practical Obstacles to Deploying Active Learning
David Lowell
Zachary Chase Lipton
Byron C. Wallace
62
111
0
12 Jul 2018
Neural Baby Talk
Neural Baby Talk
Jiasen Lu
Jianwei Yang
Dhruv Batra
Devi Parikh
VLM
226
434
0
27 Mar 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
100
4,201
0
25 Jul 2017
Teaching Machines to Describe Images via Natural Language Feedback
Teaching Machines to Describe Images via Natural Language Feedback
Huan Ling
Sanja Fidler
36
45
0
01 Jun 2017
Guided Open Vocabulary Image Captioning with Constrained Beam Search
Guided Open Vocabulary Image Captioning with Constrained Beam Search
Peter Anderson
Basura Fernando
Mark Johnson
Stephen Gould
58
234
0
02 Dec 2016
Self-critical Sequence Training for Image Captioning
Self-critical Sequence Training for Image Captioning
Steven J. Rennie
E. Marcheret
Youssef Mroueh
Jerret Ross
Vaibhava Goel
96
1,882
0
02 Dec 2016
Improving Neural Machine Translation Models with Monolingual Data
Improving Neural Machine Translation Models with Monolingual Data
Rico Sennrich
Barry Haddow
Alexandra Birch
193
2,710
0
20 Nov 2015
Deep Compositional Captioning: Describing Novel Object Categories
  without Paired Training Data
Deep Compositional Captioning: Describing Novel Object Categories without Paired Training Data
Lisa Anne Hendricks
Subhashini Venugopalan
Marcus Rohrbach
Raymond J. Mooney
Kate Saenko
Trevor Darrell
CoGe
37
284
0
17 Nov 2015
Character-level Convolutional Networks for Text Classification
Character-level Convolutional Networks for Text Classification
Xiang Zhang
Jiaqi Zhao
Yann LeCun
180
6,077
0
04 Sep 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
279
10,034
0
10 Feb 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
242
43,290
0
01 May 2014
An Empirical Investigation of Catastrophic Forgetting in Gradient-Based
  Neural Networks
An Empirical Investigation of Catastrophic Forgetting in Gradient-Based Neural Networks
Ian Goodfellow
M. Berk Mirza
Xia Da
Aaron Courville
Yoshua Bengio
127
1,428
0
21 Dec 2013
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