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We present Multiple-Question Multiple-Answer (MQMA), a novel approach to do text-VQA in encoder-decoder transformer models.
Momentum contrast for unsupervised visual representation learning
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Language models are few-shot learners
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Document visual question answering challenge 2020
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Vqa: Visual question answering
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Pointer networks
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Google’s neural machine translation system: Bridging the gap between human and machine translation
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Figureqa: An annotated figure dataset for visual reasoning
Samira Ebrahimi Kahou, Vincent Michalski, Adam Atkinson, Ákos Kádár, Adam Trischler, and Yoshua Bengio. 2017 · 2017
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Attention is all you need
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Visual question answering: A survey of methods and datasets
Qi Wu, Damien Teney, Peng Wang, Chunhua Shen, Anthony Dick, and Anton Van Den Hengel. 2017 · 2017
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Rosetta: Large scale system for text detection and recognition in images
Fedor Borisyuk, Albert Gordo, and Viswanath Sivakumar. 2018 · 2018
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Dvqa: Understanding data visualizations via question answering
Kushal Kafle, Brian Price, Scott Cohen, and Christopher Kanan. 2018 · 2018
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Decoupled weight decay regularization
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Icdar 2019 competition on scene text visual question answering
Ali Furkan Biten, Ruben Tito, Andres Mafla, Lluis Gomez, Marçal Rusinol, Minesh Mathew, CV Jawahar, Ernest Valveny, and Dimosthenis Karatzas. 2019a · 2019
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Bert: Pre-training of deep bidirectional transformers for language understanding
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Nlp augmentation
Edward Ma. 2019 · 2019
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Ocr-vqa: Visual question answering by reading text in images
Anand Mishra, Shashank Shekhar, Ajeet Kumar Singh, and Anirban Chakraborty. 2019 · 2019
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Pytorch: An imperative style, high-performance deep learning library
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Towards vqa models that can read
Amanpreet Singh, Vivek Natarajan, Meet Shah, Yu Jiang, Xinlei Chen, Dhruv Batra, Devi Parikh, and Marcus Rohrbach. 2019 · 2019
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Multi-modal graph neural network for joint reasoning on vision and scene text
Difei Gao, Ke Li, Ruiping Wang, Shiguang Shan, and Xilin Chen. 2020 · 2020
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Finding the evidence: Localization-aware answer prediction for text visual question answering
Wei Han, Hantao Huang, and Tao Han. 2020 · 2020
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Docvqa: A dataset for vqa on document images
Minesh Mathew, Dimosthenis Karatzas, and CV Jawahar. 2021 · 2021
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Going full-tilt boogie on document understanding with text-image-layout transformer
Rafał Powalski, Łukasz Borchmann, Dawid Jurkiewicz, Tomasz Dwojak, Michał Pietruszka, and Gabriela Pałka. 2021 · 2021
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Visualmrc: Machine reading comprehension on document images
Ryota Tanaka, Kyosuke Nishida, and Sen Yoshida. 2021 · 2021
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Layoutlmv2: Multi-modal pre-training for visually-rich document understanding
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Tap: Text-aware pre-training for text-vqa and text-caption
Zhengyuan Yang, Yijuan Lu, Jianfeng Wang, Xi Yin, Dinei Florencio, Lijuan Wang, Cha Zhang, Lei Zhang, and Jiebo Luo. 2021 · 2021
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Iterative answer prediction with pointer-augmented multimodal transformers for textvqa
Ronghang Hu, Amanpreet Singh, Trevor Darrell, and Marcus Rohrbach. 2020 · 2020
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Spatially aware multimodal transformers for textvqa
Yash Kant, Dhruv Batra, Peter Anderson, Alexander Schwing, Devi Parikh, Jiasen Lu, and Harsh Agrawal. 2020 · 2020
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Plotqa: Reasoning over scientific plots
Nitesh Methani, Pritha Ganguly, Mitesh M Khapra, and Pratyush Kumar. 2020 · 2020
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Exploring the limits of transfer learning with a unified text-to-text transformer
Colin Raffel, Noam Shazeer, Adam Roberts, Katherine Lee, Sharan Narang, Michael Matena, Yanqi Zhou, Wei Li, and Peter J Liu. 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, et al. 2020 · 2020
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Layoutlm: Pre-training of text and layout for document image understanding
Yiheng Xu, Minghao Li, Lei Cui, Shaohan Huang, Furu Wei, and Ming Zhou. 2020 · 2020
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Docformer: End-to-end transformer for document understanding
Srikar Appalaraju, Bhavan Jasani, Bhargava Urala Kota, Yusheng Xie, and R Manmatha. 2021 · 2021
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Ali Furkan Biten, Ron Litman, Yusheng Xie, Srikar Appalaraju, and R Manmatha. 2022 · 2022
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Pali: A jointly-scaled multilingual language-image model
Xi Chen, Xiao Wang, Soravit Changpinyo, A. J. Piergiovanni, Piotr Padlewski, Daniel M. Salz, Sebastian Goodman, Adam Grycner, Basil Mustafa, Lucas Beyer, Alexander Kolesnikov, Joan Puigcerver, Nan Ding, Keran Rong, Hassan Akbari, Gaurav Mishra, Linting Xue, Ashish V. Thapliyal, James Bradbury, Weicheng Kuo, Mojtaba Seyedhosseini, Chao Jia, Burcu Karagol Ayan, Carlos Riquelme, Andreas Steiner, Anelia Angelova, Xiaohua Zhai, Neil Houlsby, and Radu Soricut. 2022 · 2022
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Yoro-lightweight end to end visual grounding
Chih-Hui Ho, Srikar Appalaraju, Bhavan Jasani, R Manmatha, and Nuno Vasconcelos. 2022 · 2022
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Layoutlmv3: Pre-training for document ai with unified text and image masking
Yupan Huang, Tengchao Lv, Lei Cui, Yutong Lu, and Furu Wei. 2022 · 2022
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Prestu: Pre-training for scene-text understanding
Jihyung Kil, Soravit Changpinyo, Xi Chen, Hexiang Hu, Sebastian Goodman, Wei-Lun Chao, and Radu Soricut. 2022 · 2022
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Seetek: Very large-scale open-set logo recognition with text-aware metric learning
Chenge Li, István Fehérvári, Xiaonan Zhao, Ives Macedo, and Srikar Appalaraju. 2022 · 2022
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Infographicvqa
Minesh Mathew, Viraj Bagal, Rubèn Tito, Dimosthenis Karatzas, Ernest Valveny, and CV Jawahar. 2022 · 2022
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ERNIE-layout: Layout knowledge enhanced pre-training for visually-rich document understanding
Qiming Peng, Yinxu Pan, Wenjin Wang, Bin Luo, Zhenyu Zhang, Zhengjie Huang, Yuhui Cao, Weichong Yin, Yongfeng Chen, Yin Zhang, Shikun Feng, Yu Sun, Hao Tian, Hua Wu, and Haifeng Wang. 2022 · 2022
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Docformerv2: Local features for document understanding
Srikar Appalaraju, Peng Tang, Qi Dong, Nishant Sankaran, Yichu Zhou, and R Manmatha. 2023 · 2023
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Mixgen: A new multi-modal data augmentation
Xiaoshuai Hao, Yi Zhu, Srikar Appalaraju, Aston Zhang, Wanqian Zhang, Boyang Li, and Mu Li. 2023 · 2023
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Unifying vision, text, and layout for universal document processing
Zineng Tang, Ziyi Yang, Guoxin Wang, Yuwei Fang, Yang Liu, Chenguang Zhu, Michael Zeng, Cha Zhang, and Mohit Bansal. 2023 · 2023
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