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Reading text in real-world scenarios often requires understanding the context surrounding it, especially when dealing with poor-quality text.
Long short-term memory
Sepp Hochreiter and Jürgen Schmidhuber · 1997
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End-to-end scene text recognition
Kai Wang, Boris Babenko, and Serge Belongie · 2011
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Scene text recognition using higher order language priors
Anand Mishra, Karteek Alahari, and CV Jawahar · 2012
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Icdar 2013 robust reading competition
Dimosthenis Karatzas, Faisal Shafait, Seiichi Uchida, Masakazu Iwamura, Lluis Gomez i Bigorda, Sergi Robles Mestre, Joan Mas, David Fernandez Mota, Jon Almazan Almazan, and Lluis Pere De Las Heras · 2013
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Icdar 2013 robust reading competition
Dimosthenis Karatzas, Faisal Shafait, Seiichi Uchida, Masakazu Iwamura, Lluis Gomez i Bigorda, Sergi Robles Mestre, Joan Mas, David Fernandez Mota, Jon Almazan Almazan, and Lluis Pere De Las Heras · 2013
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Synthetic data and artificial neural networks for natural scene text recognition
Max Jaderberg, Karen Simonyan, Andrea Vedaldi, and Andrew Zisserman · 2014
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A robust arbitrary text detection system for natural scene images
Anhar Risnumawan, Palaiahankote Shivakumara, Chee Seng Chan, and Chew Lim Tan · 2014
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Icdar 2015 competition on robust reading
Dimosthenis Karatzas, Lluis Gomez-Bigorda, Anguelos Nicolaou, Suman Ghosh, Andrew Bagdanov, Masakazu Iwamura, Jiri Matas, Lukas Neumann, Vijay Ramaseshan Chandrasekhar, Shijian Lu, et al · 2015
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Icdar 2015 competition on robust reading
Dimosthenis Karatzas, Lluis Gomez-Bigorda, Anguelos Nicolaou, Suman Ghosh, Andrew Bagdanov, Masakazu Iwamura, Jiri Matas, Lukas Neumann, Vijay Ramaseshan Chandrasekhar, Shijian Lu, et al · 2015
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Synthetic data for text localisation in natural images
Ankush Gupta, Andrea Vedaldi, and Andrew Zisserman · 2016
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Coco-text: Dataset and benchmark for text detection and recognition in natural images
Andreas Veit, Tomas Matera, Lukas Neumann, Jiri Matas, and Serge Belongie · 2016
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Icdar2017 competition on reading chinese text in the wild (rctw-17)
Baoguang Shi, Cong Yao, Minghui Liao, Mingkun Yang, Pei Xu, Linyan Cui, Serge Belongie, Shijian Lu, and Xiang Bai · 2017
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Attention is all you need
Ashish Vaswani, Noam Shazeer, Niki Parmar, Jakob Uszkoreit, Llion Jones, Aidan N Gomez, Łukasz Kaiser, and Illia Polosukhin · 2017
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Uber-text: A large-scale dataset for optical character recognition from street-level imagery
Ying Zhang, Lionel Gueguen, Ilya Zharkov, Peter Zhang, Keith Seifert, and Ben Kadlec · 2017
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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
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What is wrong with scene text recognition model comparisons? dataset and model analysis
Jeonghun Baek, Geewook Kim, Junyeop Lee, Sungrae Park, Dongyoon Han, Sangdoo Yun, Seong Joon Oh, and Hwalsuk Lee · 2019
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Icdar2019 robust reading challenge on arbitrary-shaped text-rrc-art
Chee Kheng Chng, Yuliang Liu, Yipeng Sun, Chun Chet Ng, Canjie Luo, Zihan Ni, ChuanMing Fang, Shuaitao Zhang, Junyu Han, Errui Ding, et al · 2019
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Visualbert: A simple and performant baseline for vision and language
Liunian Harold Li, Mark Yatskar, Da Yin, Cho-Jui Hsieh, and Kai-Wei Chang · 2019
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Icdar2019 robust reading challenge on multi-lingual scene text detection and recognition—rrc-mlt-2019
Nibal Nayef, Yash Patel, Michal Busta, Pinaki Nath Chowdhury, Dimosthenis Karatzas, Wafa Khlif, Jiri Matas, Umapada Pal, Jean-Christophe Burie, Cheng-lin Liu, et al · 2019
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Chinese street view text: Large-scale chinese text reading with partially supervised learning
Yipeng Sun, Jiaming Liu, Wei Liu, Junyu Han, Errui Ding, and Jingtuo Liu · 2019
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Icdar 2019 robust reading challenge on reading chinese text on signboard
Rui Zhang, Yongsheng Zhou, Qianyi Jiang, Qi Song, Nan Li, Kai Zhou, Lei Wang, Dong Wang, Minghui Liao, Mingkun Yang, et al · 2019
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Mmtm: Multimodal transfer module for cnn fusion
Hamid Reza Vaezi Joze, Amirreza Shaban, Michael L Iuzzolino, and Kazuhito Koishida · 2020
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Mask textspotter v3: Segmentation proposal network for robust scene text spotting
Minghui Liao, Guan Pang, Jing Huang, Tal Hassner, and Xiang Bai · 2020
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Scatter: selective context attentional scene text recognizer
Ron Litman, Oron Anschel, Shahar Tsiper, Roee Litman, Shai Mazor, and R Manmatha · 2020
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Seed: Semantics enhanced encoder-decoder framework for scene text recognition
Zhi Qiao, Yu Zhou, Dongbao Yang, Yucan Zhou, and Weiping Wang · 2020
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On calibration of scene-text recognition models
Ron Slossberg, Oron Anschel, Amir Markovitz, Ron Litman, Aviad Aberdam, Shahar Tsiper, Shai Mazor, Jon Wu, and R Manmatha · 2020
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On vocabulary reliance in scene text recognition
Zhaoyi Wan, Jielei Zhang, Liang Zhang, Jiebo Luo, and Cong Yao · 2020
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Towards accurate scene text recognition with semantic reasoning networks
Deli Yu, Xuan Li, Chengquan Zhang, Tao Liu, Junyu Han, Jingtuo Liu, and Errui Ding · 2020
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Deformable detr: Deformable transformers for end-to-end object detection
Xizhou Zhu, Weijie Su, Lewei Lu, Bin Li, Xiaogang Wang, and Jifeng Dai · 2020
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Sequence-to-sequence contrastive learning for text recognition
Aviad Aberdam, Ron Litman, Shahar Tsiper, Oron Anschel, Ron Slossberg, Shai Mazor, R Manmatha, and Pietro Perona · 2021
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Vinvl: Making visual representations matter in vision-language models
Pengchuan Zhang, Xiujun Li, Xiaowei Hu, Jianwei Yang, Lei Zhang, Lijuan Wang, Yejin Choi, and Jianfeng Gao · 2021
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Multimodal semi-supervised learning for text recognition
Aviad Aberdam, Roy Ganz, Shai Mazor, and Ron Litman · 2022
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Flamingo: a visual language model for few-shot learning
Jean-Baptiste Alayrac, Jeff Donahue, Pauline Luc, Antoine Miech, Iain Barr, Yana Hasson, Karel Lenc, Arthur Mensch, Katie Millican, Malcolm Reynolds, et al · 2022
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Scene text recognition with permuted autoregressive sequence models
Darwin Bautista and Rowel Atienza · 2022
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Latr: Layout-aware transformer for scene-text vqa
Ali Furkan Biten, Ron Litman, Yusheng Xie, Srikar Appalaraju, and R Manmatha · 2022
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Sequence-to-sequence contrastive learning for text recognition
Aviad Aberdam, Ron Litman, Shahar Tsiper, Oron Anschel, Ron Slossberg, Shai Mazor, R Manmatha, and Pietro Perona · 2021
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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
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Vision transformer for fast and efficient scene text recognition
Rowel Atienza · 2021
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Vision transformer for fast and efficient scene text recognition
Rowel Atienza · 2021
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What if we only use real datasets for scene text recognition? toward scene text recognition with fewer labels
Jeonghun Baek, Yusuke Matsui, and Kiyoharu Aizawa · 2021
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What if we only use real datasets for scene text recognition? toward scene text recognition with fewer labels
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Generalization in nli: Ways (not) to go beyond simple heuristics, 2021
Prajjwal Bhargava, Aleksandr Drozd, and Anna Rogers · 2021
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Pali: A jointly-scaled multilingual language-image model
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Out-of-vocabulary challenge report
Sergi Garcia-Bordils, Andrés Mafla, Ali Furkan Biten, Oren Nuriel, Aviad Aberdam, Shai Mazor, Ron Litman, and Dimosthenis Karatzas · 2022
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Masked autoencoders are scalable vision learners
Kaiming He, Xinlei Chen, Saining Xie, Yanghao Li, Piotr Dollár, and Ross Girshick · 2022
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Scaling up vision-language pre-training for image captioning
Xiaowei Hu, Zhe Gan, Jianfeng Wang, Zhengyuan Yang, Zicheng Liu, Yumao Lu, and Lijuan Wang · 2022
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Swintextspotter: Scene text spotting via better synergy between text detection and text recognition
Mingxin Huang, Yuliang Liu, Zhenghao Peng, Chongyu Liu, Dahua Lin, Shenggao Zhu, Nicholas Yuan, Kai Ding, and Lianwen Jin · 2022
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Towards weakly-supervised text spotting using a multi-task transformer
Yair Kittenplon, Inbal Lavi, Sharon Fogel, Yarin Bar, R Manmatha, and Pietro Perona · 2022
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Junnan Li, Dongxu Li, Caiming Xiong, and Steven Hoi · 2022
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Perceiving stroke-semantic context: Hierarchical contrastive learning for robust scene text recognition
Hao Liu, Bin Wang, Zhimin Bao, Mobai Xue, Sheng Kang, Deqiang Jiang, Yinsong Liu, and Bo Ren · 2022
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Towards end-to-end unified scene text detection and layout analysis
Shangbang Long, Siyang Qin, Dmitry Panteleev, Alessandro Bissacco, Yasuhisa Fujii, and Michalis Raptis · 2022
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Siman: Exploring self-supervised representation learning of scene text via similarity-aware normalization
Canjie Luo, Lianwen Jin, and Jingdong Chen · 2022
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Maskocr: Text recognition with masked encoder-decoder pretraining
Pengyuan Lyu, Chengquan Zhang, Shanshan Liu, Meina Qiao, Yangliu Xu, Liang Wu, Kun Yao, Junyu Han, Errui Ding, and Jingdong Wang · 2022
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Simple open-vocabulary object detection with vision transformers
Matthias Minderer, Alexey Gritsenko, Austin Stone, Maxim Neumann, Dirk Weissenborn, Alexey Dosovitskiy, Aravindh Mahendran, Anurag Arnab, Mostafa Dehghani, Zhuoran Shen, et al · 2022
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Multi-modal text recognition networks: Interactive enhancements between visual and semantic features
Byeonghu Na, Yoonsik Kim, and Sungrae Park · 2022
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Glass: Global to local attention for scene-text spotting
Roi Ronen, Shahar Tsiper, Oron Anschel, Inbal Lavi, Amir Markovitz, and R Manmatha · 2022
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Git: A generative image-to-text transformer for vision and language
Jianfeng Wang, Zhengyuan Yang, Xiaowei Hu, Linjie Li, Kevin Lin, Zhe Gan, Zicheng Liu, Ce Liu, and Lijuan Wang · 2022
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Peng Wang, An Yang, Rui Men, Junyang Lin, Shuai Bai, Zhikang Li, Jianxin Ma, Chang Zhou, Jingren Zhou, and Hongxia Yang · 2022
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Language matters: A weakly supervised vision-language pre-training approach for scene text detection and spotting
Chuhui Xue, Wenqing Zhang, Yu Hao, Shijian Lu, Philip HS Torr, and Song Bai · 2022
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Context-based contrastive learning for scene text recognition
Xinyun Zhang, Binwu Zhu, Xufeng Yao, Qi Sun, Ruiyu Li, and Bei Yu · 2022
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Pushing the performance limit of scene text recognizer without human annotation
Caiyuan Zheng, Hui Li, Seon-Min Rhee, Seungju Han, Jae-Joon Han, and Peng Wang · 2022
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