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In traditional Visual Question Generation (VQG), most images have multiple concepts (e.g.
Simple statistical gradient-following algorithms for connectionist reinforcement learning
Ronald J. Williams. 1992 · 1992
Earlier work this paper cites.
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Kishore Papineni, Salim Roukos, Todd Ward, and Wei-Jing Zhu. 2002 · 2002
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Chin-Yew Lin. 2004 · 2004
Earlier work this paper cites.
METEOR: An automatic metric for MT evaluation with high levels of correlation with human judgments
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Earlier work this paper cites.
Auto-encoding variational bayes
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Neural Variational Inference and Learning in Belief Networks
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Earlier work this paper cites.
VQA: Visual Question Answering
Stanislaw Antol, Aishwarya Agrawal, Jiasen Lu, Margaret Mitchell, Dhruv Batra, C. Lawrence Zitnick, and Devi Parikh. 2015 · 2015
Earlier work this paper cites.
Deep visual-semantic alignments for generating image descriptions
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Earlier work this paper cites.
Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks
Shaoqing Ren, Kaiming He, Ross Girshick, and Jian Sun. 2015 · 2015
Earlier work this paper cites.
Cider: Consensus-based image description evaluation
Ramakrishna Vedantam, C. L. Zitnick, and Devi Parikh. 2015 · 2015
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Show and tell: A neural image caption generator
Oriol Vinyals, A. Toshev, S. Bengio, and D. Erhan. 2015 · 2015
Earlier work this paper cites.
Hybrid computing using a neural network with dynamic external memory
Alex Graves, Greg Wayne, Malcolm Reynolds, Tim Harley, Ivo Danihelka, Agnieszka Grabska-Barwińska, Sergio Gómez Colmenarejo, Edward Grefenstette, Tiago Ramalho, John Agapiou, Adrià Puigdomènech Badia, Karl Moritz Hermann, Yori Zwols, Georg Ostrovski, Adam Cain, Helen King, Christopher Summerfield, Phil Blunsom, Koray Kavukcuoglu, and Demis Hassabis. 2016 · 2016
Earlier work this paper cites.
Neural variational inference for text processing
Yishu Miao, Lei Yu, and Phil Blunsom. 2016 · 2016
Earlier work this paper cites.
Variational inference for Monte Carlo objectives
Andriy Mnih and Danilo J. Rezende. 2016 · 2016
Earlier work this paper cites.
A shared task on multimodal machine translation and crosslingual image description
Lucia Specia, Stella Frank, Khalil Sima’an, and Desmond Elliott. 2016 · 2016
Earlier work this paper cites.
Automatic Generation of Grounded Visual Questions
Shijie Zhang, Lizhen Qu, Shaodi You, Zhenglu Yang, and Jiawan Zhang. 2016 · 2016
Earlier work this paper cites.
Findings of the second shared task on multimodal machine translation and multilingual image description
Desmond Elliott, Stella Frank, Loïc Barrault, Fethi Bougares, and Lucia Specia. 2017 · 2017
Earlier work this paper cites.
Toward Controlled Generation of Text
Zhiting Hu, Zichao Yang, Xiaodan Liang, Ruslan Salakhutdinov, and Eric P Xing. 2017 · 2017
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Creativity: Generating Diverse Questions using Variational Autoencoders
Unnat Jain, Ziyu Zhang, and Alexander Schwing. 2017 · 2017
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Categorical Reparameterization with Gumbel-Softmax
Eric Jang, Shixiang Gu, and Ben Poole. 2016 · 2017
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Categorical reparameterization with gumbel-softmax
Eric Jang, Shixiang Gu, and Ben Poole. 2017 · 2017
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The Concrete Distribution: A Continuous Relaxation of Discrete Random Variables
Chris J. Maddison, Andriy Mnih, and Yee Whye Teh. 2016 · 2017
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Meshed-Memory Transformer for Image Captioning
Marcella Cornia, Matteo Stefanini, Lorenzo Baraldi, and Rita Cucchiara. 2019 · 2019
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Jointly measuring diversity and quality in text generation models
Ehsan Montahaei, Danial Alihosseini, and Mahdieh Soleymani Baghshah. 2019 · 2019
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Recent Advances in Neural Question Generation
Liangming Pan, Wenqiang Lei, Tat-Seng Chua, and Min-Yen Kan. 2019 · 2019
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Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks
Nils Reimers and Iryna Gurevych. 2019 · 2019
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Intention Oriented Image Captions with Guiding Objects
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Aaron van den Oord, Oriol Vinyals, and Koray Kavukcuoglu. 2017 · 2017
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Ashish Vaswani, Noam Shazeer, Niki Parmar, Jakob Uszkoreit, Llion Jones, Aidan N. Gomez, Lukasz Kaiser, and Illia Polosukhin. 2017 · 2017
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SeqGAN: Sequence Generative Adversarial Nets with Policy Gradient
Lantao Yu, Weinan Zhang, Jun Wang, and Yong Yu. 2016 · 2017
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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, and Lei Zhang. 2018 · 2018
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Findings of the third shared task on multimodal machine translation
Loïc Barrault, Fethi Bougares, Lucia Specia, Chiraag Lala, Desmond Elliott, and Stella Frank. 2018 · 2018
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BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
Jacob Devlin, Ming-Wei Chang, Kenton Lee, and Kristina Toutanova. 2018 · 2018
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A Reinforcement Learning Framework for Natural Question Generation using Bi-discriminators
Zhihao Fan, Zhongyu Wei, Siyuan Wang, Yang Liu, and Xuanjing Huang. 2018 · 2018
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Yue Zheng, Yali Li, and Shengjin Wang. 2018 · 2019
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Curious Case of Language Generation Evaluation Metrics: A Cautionary Tale
Ozan Caglayan, Pranava Madhyastha, and Lucia Specia. 2020 · 2020
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fairseq-image-captioning
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Oscar: Object-Semantics Aligned Pre-training for Vision-Language Tasks
Xiujun Li, Xi Yin, Chunyuan Li, Pengchuan Zhang, Xiaowei Hu, Lei Zhang, Lijuan Wang, Houdong Hu, Li Dong, Furu Wei, Yejin Choi, and Jianfeng Gao. 2020 · 2020
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Understanding Guided Image Captioning Performance across Domains
Edwin G Ng, Bo Pang, Piyush Sharma, Radu Soricut, and Google Research. 2020 · 2020
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Deep Bayesian Network for Visual Question Generation
Badri N. Patro, Vinod K. Kurmi, Sandeep Kumar, and Vinay P. Namboodiri. 2020 · 2020
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What BERT Sees: Cross-Modal Transfer for Visual Question Generation
Thomas Scialom, Patrick Bordes, Paul-Alexis Dray, Jacopo Staiano, and Patrick Gallinari. 2020 · 2020
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C3VQG: Category Consistent Cyclic Visual Question Generation
Shagun Uppal, Anish Madan, Sarthak Bhagat, Yi Yu, and Rajiv Ratn Shah. 2020 · 2020
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Transformers: State-of-the-art natural language processing
Thomas Wolf, Lysandre Debut, Victor Sanh, Julien Chaumond, Clement Delangue, Anthony Moi, Pierric Cistac, Tim Rault, Rémi Louf, Morgan Funtowicz, Joe Davison, Sam Shleifer, Patrick von Platen, Clara Ma, Yacine Jernite, Julien Plu, Canwen Xu, Teven Le Scao, Sylvain Gugger, Mariama Drame, Quentin Lhoest, and Alexander M. Rush. 2020 · 2020
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Multiple Objects-Aware Visual Question Generation
Jiayuan Xie, Yi Cai, Qingbao Huang, and Tao Wang. 2021 · 2021
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Radial graph convolutional network for visual question generation
Xing Xu, Tan Wang, Yang Yang, Alan Hanjalic, and Heng Tao Shen. 2021 · 2021
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Show, attend and tell: Neural image caption generation with visual attention
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