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Liao, Minghui, \"Textboxes: A fast text detector with a single deep neural network.\" Thirty-first AAAI conference on artificial intelligence. 2017."},{"key":"e_1_3_2_1_2_1","doi-asserted-by":"publisher","DOI":"10.1109\/TMM.2018.2818020"},{"key":"e_1_3_2_1_3_1","volume-title":"Springer","author":"Tian Zhi","year":"2016","unstructured":"Tian , Zhi , \" Detecting text in natural image with connectionist text proposal network.\" European conference on computer vision . Springer , Cham , 2016 . Tian, Zhi, \"Detecting text in natural image with connectionist text proposal network.\" European conference on computer vision. Springer, Cham, 2016."},{"key":"e_1_3_2_1_4_1","doi-asserted-by":"crossref","unstructured":"Zhang Zheng \"Multi-oriented text detection with fully convolutional networks.\" Proceedings of the IEEE conference on computer vision and pattern recognition. 2016. Zhang Zheng \"Multi-oriented text detection with fully convolutional networks.\" Proceedings of the IEEE conference on computer vision and pattern recognition. 2016.","DOI":"10.1109\/CVPR.2016.451"},{"key":"e_1_3_2_1_5_1","volume-title":"IEEE","author":"Sun Lei","year":"2014","unstructured":"Sun , Lei , \" Robust text detection in natural scene images by generalized color-enhanced contrasting extremal region and neural networks.\" 2014 22nd International Conference on Pattern Recognition . IEEE , 2014 . Sun, Lei, \"Robust text detection in natural scene images by generalized color-enhanced contrasting extremal region and neural networks.\" 2014 22nd International Conference on Pattern Recognition. IEEE, 2014."},{"key":"e_1_3_2_1_6_1","volume-title":"Towards real-time object detection with region proposal networks.\" Advances in neural information processing systems 28","author":"Ren Shaoqing","year":"2015","unstructured":"Ren , Shaoqing , \"Faster r-cnn : Towards real-time object detection with region proposal networks.\" Advances in neural information processing systems 28 ( 2015 ). Ren, Shaoqing, \"Faster r-cnn: Towards real-time object detection with region proposal networks.\" Advances in neural information processing systems 28 (2015)."},{"key":"e_1_3_2_1_7_1","volume-title":"Taking a further step toward accurate arbitrary-shaped scene text detection.\" proceedings of the IEEE\/CVF conference on computer vision and pattern recognition","author":"Wang Yuxin","year":"2020","unstructured":"Wang , Yuxin , \" Contournet : Taking a further step toward accurate arbitrary-shaped scene text detection.\" proceedings of the IEEE\/CVF conference on computer vision and pattern recognition . 2020 . Wang, Yuxin, \"Contournet: Taking a further step toward accurate arbitrary-shaped scene text detection.\" proceedings of the IEEE\/CVF conference on computer vision and pattern recognition. 2020."},{"volume-title":"Toward arbitrary-shaped text spotting.\" Proceedings of the AAAI Conference on Artificial Intelligence","author":"Wang Hao","key":"e_1_3_2_1_8_1","unstructured":"Wang , Hao , \"All you need is boundary : Toward arbitrary-shaped text spotting.\" Proceedings of the AAAI Conference on Artificial Intelligence . Vol. 34 . No. 07. 2020. Wang, Hao, \"All you need is boundary: Toward arbitrary-shaped text spotting.\" Proceedings of the AAAI Conference on Artificial Intelligence. Vol. 34. No. 07. 2020."},{"key":"e_1_3_2_1_9_1","doi-asserted-by":"crossref","unstructured":"Wang Xiaobing \"Arbitrary shape scene text detection with adaptive text region representation.\" Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition. 2019. Wang Xiaobing \"Arbitrary shape scene text detection with adaptive text region representation.\" Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition. 2019.","DOI":"10.1109\/CVPR.2019.00661"},{"key":"e_1_3_2_1_10_1","doi-asserted-by":"crossref","unstructured":"Qin Siyang \"Towards unconstrained end-to-end text spotting.\" Proceedings of the IEEE\/CVF International Conference on Computer Vision. 2019. Qin Siyang \"Towards unconstrained end-to-end text spotting.\" Proceedings of the IEEE\/CVF International Conference on Computer Vision. 2019.","DOI":"10.1109\/ICCV.2019.00480"},{"key":"e_1_3_2_1_11_1","doi-asserted-by":"crossref","unstructured":"Shi Baoguang Xiang Bai and Serge Belongie. \"Detecting oriented text in natural images by linking segments.\" Proceedings of the IEEE conference on computer vision and pattern recognition. 2017. Shi Baoguang Xiang Bai and Serge Belongie. \"Detecting oriented text in natural images by linking segments.\" Proceedings of the IEEE conference on computer vision and pattern recognition. 2017.","DOI":"10.1109\/CVPR.2017.371"},{"key":"e_1_3_2_1_12_1","volume-title":"An end-to-end trainable neural network for spotting text with arbitrary shapes.\" Proceedings of the European Conference on Computer Vision (ECCV)","author":"Lyu Pengyuan","year":"2018","unstructured":"Lyu , Pengyuan , \"Mask textspotter : An end-to-end trainable neural network for spotting text with arbitrary shapes.\" Proceedings of the European Conference on Computer Vision (ECCV) . 2018 . Lyu, Pengyuan, \"Mask textspotter: An end-to-end trainable neural network for spotting text with arbitrary shapes.\" Proceedings of the European Conference on Computer Vision (ECCV). 2018."},{"key":"e_1_3_2_1_13_1","volume-title":"Segmentation proposal network for robust scene text spotting.\" European Conference on Computer Vision","author":"Liao Minghui","year":"2020","unstructured":"Liao , Minghui , \"Mask textspotter v3 : Segmentation proposal network for robust scene text spotting.\" European Conference on Computer Vision . Springer , Cham , 2020 . Liao, Minghui, \"Mask textspotter v3: Segmentation proposal network for robust scene text spotting.\" European Conference on Computer Vision. Springer, Cham, 2020."},{"key":"e_1_3_2_1_14_1","volume-title":"an efficient and accurate scene text detector.\" Proceedings of the IEEE conference on Computer Vision and Pattern Recognition","author":"Zhou Xinyu","year":"2017","unstructured":"Zhou , Xinyu , \" East : an efficient and accurate scene text detector.\" Proceedings of the IEEE conference on Computer Vision and Pattern Recognition . 2017 . Zhou, Xinyu, \"East: an efficient and accurate scene text detector.\" Proceedings of the IEEE conference on Computer Vision and Pattern Recognition. 2017."},{"key":"e_1_3_2_1_15_1","doi-asserted-by":"crossref","unstructured":"Wang Wenhai \"Shape robust text detection with progressive scale expansion network.\" Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition. 2019. Wang Wenhai \"Shape robust text detection with progressive scale expansion network.\" Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition. 2019.","DOI":"10.1109\/CVPR.2019.00956"},{"key":"e_1_3_2_1_16_1","doi-asserted-by":"crossref","unstructured":"Liao Minghui \"Real-time scene text detection with differentiable binarization.\" Proceedings of the AAAI Conference on Artificial Intelligence. Vol. 34. No. 07. 2020. Liao Minghui \"Real-time scene text detection with differentiable binarization.\" Proceedings of the AAAI Conference on Artificial Intelligence. Vol. 34. 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Zhu Yiqin \"Fourier contour embedding for arbitrary-shaped text detection.\" Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition. 2021.","DOI":"10.1109\/CVPR46437.2021.00314"},{"key":"e_1_3_2_1_19_1","doi-asserted-by":"crossref","unstructured":"Lin Tsung-Yi \"Feature pyramid networks for object detection.\" Proceedings of the IEEE conference on computer vision and pattern recognition. 2017. Lin Tsung-Yi \"Feature pyramid networks for object detection.\" Proceedings of the IEEE conference on computer vision and pattern recognition. 2017.","DOI":"10.1109\/CVPR.2017.106"},{"key":"e_1_3_2_1_20_1","volume-title":"A comprehensive dataset for scene text detection and recognition.\" 2017 14th IAPR international conference on document analysis and recognition (ICDAR)","author":"Ch'ng Chee Kheng","year":"2017","unstructured":"Ch'ng , Chee Kheng , and Chee Seng Chan . \"Total-text : A comprehensive dataset for scene text detection and recognition.\" 2017 14th IAPR international conference on document analysis and recognition (ICDAR) . Vol. 1 . IEEE , 2017 . Ch'ng, Chee Kheng, and Chee Seng Chan. \"Total-text: A comprehensive dataset for scene text detection and recognition.\" 2017 14th IAPR international conference on document analysis and recognition (ICDAR). Vol. 1. IEEE, 2017."},{"key":"e_1_3_2_1_21_1","volume-title":"IEEE","author":"Karatzas Dimosthenis","year":"2015","unstructured":"Karatzas , Dimosthenis , \" ICDAR 2015 competition on robust reading.\" 2015 13th international conference on document analysis and recognition (ICDAR) . IEEE , 2015. Karatzas, Dimosthenis, \"ICDAR 2015 competition on robust reading.\" 2015 13th international conference on document analysis and recognition (ICDAR). IEEE, 2015."},{"key":"e_1_3_2_1_22_1","volume-title":"New dataset and new solution.\" arXiv preprint arXiv:1712.02170","author":"Yuliang Liu","year":"2017","unstructured":"Yuliang , Liu , \"Detecting curve text in the wild : New dataset and new solution.\" arXiv preprint arXiv:1712.02170 ( 2017 ). Yuliang, Liu, \"Detecting curve text in the wild: New dataset and new solution.\" arXiv preprint arXiv:1712.02170 (2017)."},{"key":"e_1_3_2_1_23_1","doi-asserted-by":"publisher","DOI":"10.1007\/s10479-005-5724-z"},{"key":"e_1_3_2_1_24_1","volume-title":"IEEE","author":"Milletari Fausto","year":"2016","unstructured":"Milletari , Fausto , Nassir Navab , and Seyed-Ahmad Ahmadi . \"V-net : Fully convolutional neural networks for volumetric medical image segmentation.\" 2016 fourth international conference on 3D vision (3DV) . IEEE , 2016 . Milletari, Fausto, Nassir Navab, and Seyed-Ahmad Ahmadi. \"V-net: Fully convolutional neural networks for volumetric medical image segmentation.\" 2016 fourth international conference on 3D vision (3DV). IEEE, 2016."},{"key":"e_1_3_2_1_25_1","doi-asserted-by":"crossref","unstructured":"He Kaiming \"Deep residual learning for image recognition.\" Proceedings of the IEEE conference on computer vision and pattern recognition. 2016. He Kaiming \"Deep residual learning for image recognition.\" Proceedings of the IEEE conference on computer vision and pattern recognition. 2016.","DOI":"10.1109\/CVPR.2016.90"},{"key":"e_1_3_2_1_26_1","volume-title":"Adaptive bezier-curve network for real-time end-to-end text spotting.\" arXiv preprint arXiv:2105.03620","author":"Liu Yuliang","year":"2021","unstructured":"Liu , Yuliang , \"ABCNet v2 : Adaptive bezier-curve network for real-time end-to-end text spotting.\" arXiv preprint arXiv:2105.03620 ( 2021 ). Liu, Yuliang, \"ABCNet v2: Adaptive bezier-curve network for real-time end-to-end text spotting.\" arXiv preprint arXiv:2105.03620 (2021)."},{"key":"e_1_3_2_1_27_1","volume-title":"An end-to-end framework for arbitrary shaped text spotting.\" Proceedings of the IEEE\/CVF International Conference on Computer Vision","author":"Feng Wei","year":"2019","unstructured":"Feng , Wei , \" Textdragon : An end-to-end framework for arbitrary shaped text spotting.\" Proceedings of the IEEE\/CVF International Conference on Computer Vision . 2019 . Feng, Wei, \"Textdragon: An end-to-end framework for arbitrary shaped text spotting.\" Proceedings of the IEEE\/CVF International Conference on Computer Vision. 2019."},{"key":"e_1_3_2_1_28_1","volume-title":"\"Efficientdet: Scalable and efficient object detection.\" Proceedings of the IEEE\/CVF conference on computer vision and pattern recognition","author":"Tan Mingxing","year":"2020","unstructured":"Tan , Mingxing , Ruoming Pang , and Quoc V. Le . \"Efficientdet: Scalable and efficient object detection.\" Proceedings of the IEEE\/CVF conference on computer vision and pattern recognition . 2020 . Tan, Mingxing, Ruoming Pang, and Quoc V. Le. \"Efficientdet: Scalable and efficient object detection.\" Proceedings of the IEEE\/CVF conference on computer vision and pattern recognition. 2020."},{"key":"e_1_3_2_1_29_1","unstructured":"Liu Rosanne \"An intriguing failing of convolutional neural networks and the coordconv solution.\" Advances in neural information processing systems 31 (2018). Liu Rosanne \"An intriguing failing of convolutional neural networks and the coordconv solution.\" Advances in neural information processing systems 31 (2018)."},{"key":"e_1_3_2_1_30_1","doi-asserted-by":"crossref","unstructured":"Chen Liang-Chieh \"Deeplab: Semantic image segmentation with deep convolutional nets atrous convolution and fully connected crfs.\" IEEE transactions on pattern analysis and machine intelligence 40.4 (2017): 834-848. Chen Liang-Chieh \"Deeplab: Semantic image segmentation with deep convolutional nets atrous convolution and fully connected crfs.\" IEEE transactions on pattern analysis and machine intelligence 40.4 (2017): 834-848.","DOI":"10.1109\/TPAMI.2017.2699184"},{"key":"e_1_3_2_1_31_1","doi-asserted-by":"crossref","unstructured":"Long Jonathan Evan Shelhamer and Trevor Darrell. \"Fully convolutional networks for semantic segmentation.\" Proceedings of the IEEE conference on computer vision and pattern recognition. 2015. Long Jonathan Evan Shelhamer and Trevor Darrell. \"Fully convolutional networks for semantic segmentation.\" Proceedings of the IEEE conference on computer vision and pattern recognition. 2015.","DOI":"10.1109\/CVPR.2015.7298965"},{"key":"e_1_3_2_1_32_1","doi-asserted-by":"crossref","unstructured":"Shrivastava Abhinav Abhinav Gupta and Ross Girshick. \"Training region-based object detectors with online hard example mining.\" Proceedings of the IEEE conference on computer vision and pattern recognition. 2016. Shrivastava Abhinav Abhinav Gupta and Ross Girshick. \"Training region-based object detectors with online hard example mining.\" Proceedings of the IEEE conference on computer vision and pattern recognition. 2016.","DOI":"10.1109\/CVPR.2016.89"},{"key":"e_1_3_2_1_33_1","volume-title":"\"Imagenet classification with deep convolutional neural networks.\" Advances in neural information processing systems 25","author":"Krizhevsky Alex","year":"2012","unstructured":"Krizhevsky , Alex , Ilya Sutskever , and Geoffrey E. Hinton . \"Imagenet classification with deep convolutional neural networks.\" Advances in neural information processing systems 25 ( 2012 ). Krizhevsky, Alex, Ilya Sutskever, and Geoffrey E. Hinton. \"Imagenet classification with deep convolutional neural networks.\" Advances in neural information processing systems 25 (2012)."},{"key":"e_1_3_2_1_34_1","volume-title":"A flexible representation for detecting text of arbitrary shapes.\" Proceedings of the European conference on computer vision (ECCV)","author":"Long Shangbang","year":"2018","unstructured":"Long , Shangbang , \" Textsnake : A flexible representation for detecting text of arbitrary shapes.\" Proceedings of the European conference on computer vision (ECCV) . 2018 . Long, Shangbang, \"Textsnake: A flexible representation for detecting text of arbitrary shapes.\" Proceedings of the European conference on computer vision (ECCV). 2018."},{"key":"e_1_3_2_1_35_1","volume-title":"Proceedings of the IEEE international conference on computer vision.","author":"He Kaiming","year":"2017","unstructured":"He , Kaiming , \"Mask r-cnn.\" Proceedings of the IEEE international conference on computer vision. 2017 . He, Kaiming, \"Mask r-cnn.\" Proceedings of the IEEE international conference on computer vision. 2017."},{"key":"e_1_3_2_1_36_1","doi-asserted-by":"crossref","unstructured":"Wang Wenhai \"Efficient and accurate arbitrary-shaped text detection with pixel aggregation network.\" Proceedings of the IEEE\/CVF International Conference on Computer Vision. 2019. Wang Wenhai \"Efficient and accurate arbitrary-shaped text detection with pixel aggregation network.\" Proceedings of the IEEE\/CVF International Conference on Computer Vision. 2019.","DOI":"10.1109\/ICCV.2019.00853"},{"key":"e_1_3_2_1_37_1","doi-asserted-by":"crossref","unstructured":"He Pan \"Single shot text detector with regional attention.\" Proceedings of the IEEE international conference on computer vision. 2017. He Pan \"Single shot text detector with regional attention.\" Proceedings of the IEEE international conference on computer vision. 2017.","DOI":"10.1109\/ICCV.2017.331"},{"key":"e_1_3_2_1_38_1","volume-title":"Exploiting word annotations for character based text detection.\" Proceedings of the IEEE international conference on computer vision","author":"Hu Han","year":"2017","unstructured":"Hu , Han , \" Wordsup : Exploiting word annotations for character based text detection.\" Proceedings of the IEEE international conference on computer vision . 2017 . Hu, Han, \"Wordsup: Exploiting word annotations for character based text detection.\" Proceedings of the IEEE international conference on computer vision. 2017."}],"event":{"name":"ICCPR 2022: 2022 11th International Conference on Computing and Pattern Recognition","acronym":"ICCPR 2022","location":"Beijing China"},"container-title":["Proceedings of the 2022 11th International Conference on Computing and Pattern Recognition"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3581807.3581854","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,5,23]],"date-time":"2023-05-23T00:10:36Z","timestamp":1684800636000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3581807.3581854"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,11,17]]},"references-count":38,"alternative-id":["10.1145\/3581807.3581854","10.1145\/3581807"],"URL":"https:\/\/doi.org\/10.1145\/3581807.3581854","relation":{},"subject":[],"published":{"date-parts":[[2022,11,17]]},"assertion":[{"value":"2023-05-22","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}