{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,26]],"date-time":"2026-03-26T16:11:27Z","timestamp":1774541487021,"version":"3.50.1"},"publisher-location":"Cham","reference-count":58,"publisher":"Springer Nature Switzerland","isbn-type":[{"value":"9783031198144","type":"print"},{"value":"9783031198151","type":"electronic"}],"license":[{"start":{"date-parts":[[2022,1,1]],"date-time":"2022-01-01T00:00:00Z","timestamp":1640995200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2022,1,1]],"date-time":"2022-01-01T00:00:00Z","timestamp":1640995200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2022]]},"DOI":"10.1007\/978-3-031-19815-1_24","type":"book-chapter","created":{"date-parts":[[2022,10,19]],"date-time":"2022-10-19T23:11:54Z","timestamp":1666221114000},"page":"409-426","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":17,"title":["Don\u2019t Forget Me: Accurate Background Recovery for\u00a0Text Removal via\u00a0Modeling Local-Global Context"],"prefix":"10.1007","author":[{"given":"Chongyu","family":"Liu","sequence":"first","affiliation":[]},{"given":"Lianwen","family":"Jin","sequence":"additional","affiliation":[]},{"given":"Yuliang","family":"Liu","sequence":"additional","affiliation":[]},{"given":"Canjie","family":"Luo","sequence":"additional","affiliation":[]},{"given":"Bangdong","family":"Chen","sequence":"additional","affiliation":[]},{"given":"Fengjun","family":"Guo","sequence":"additional","affiliation":[]},{"given":"Kai","family":"Ding","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2022,10,20]]},"reference":[{"key":"24_CR1","doi-asserted-by":"crossref","unstructured":"Baek, Y., Lee, B., Han, D., Yun, S., Lee, H.: Character region awareness for text detection. In: Proceedings of CVPR, pp. 9365\u20139374 (2019)","DOI":"10.1109\/CVPR.2019.00959"},{"issue":"8","key":"24_CR2","doi-asserted-by":"publisher","first-page":"1798","DOI":"10.1109\/TPAMI.2013.50","volume":"35","author":"Y Bengio","year":"2013","unstructured":"Bengio, Y., Courville, A., Vincent, P.: Representation learning: a review and new perspectives. IEEE Trans. Pattern Anal. Mach. Intell. 35(8), 1798\u20131828 (2013)","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"issue":"2","key":"24_CR3","doi-asserted-by":"publisher","first-page":"273","DOI":"10.1007\/s41095-021-0242-8","volume":"8","author":"X Bian","year":"2021","unstructured":"Bian, X., Wang, C., Quan, W., Ye, J., Zhang, X., Yan, D.-M.: Scene text removal via cascaded text stroke detection and erasing. Comput. Vis. Media 8(2), 273\u2013287 (2021). https:\/\/doi.org\/10.1007\/s41095-021-0242-8","journal-title":"Comput. Vis. Media"},{"key":"24_CR4","doi-asserted-by":"crossref","unstructured":"Chng, C.K., et al.: ICDAR2019 robust reading challenge on arbitrary-shaped text - RRC-ArT. In: Proceedings of ICDAR, pp. 1571\u20131576 (2019)","DOI":"10.1109\/ICDAR.2019.00252"},{"key":"24_CR5","doi-asserted-by":"crossref","unstructured":"Ch\u2019ng, C.K., Chan, C.S.: Total-Text: a comprehensive dataset for scene text detection and recognition. In: Proceedings of ICDAR, vol. 1, pp. 935\u2013942 (2017)","DOI":"10.1109\/ICDAR.2017.157"},{"key":"24_CR6","doi-asserted-by":"publisher","first-page":"123313","DOI":"10.1109\/ACCESS.2021.3110293","volume":"9","author":"J Cho","year":"2021","unstructured":"Cho, J., Yun, S., Han, D., Heo, B., Choi, J.Y.: Detecting and removing text in the wild. IEEE Access 9, 123313\u2013123323 (2021)","journal-title":"IEEE Access"},{"key":"24_CR7","doi-asserted-by":"crossref","unstructured":"Conrad, B., Chen, P.I.: Two-stage seamless text erasing on real-world scene images. In: Proceedings of ICIP, pp. 1309\u20131313. IEEE (2021)","DOI":"10.1109\/ICIP42928.2021.9506394"},{"key":"24_CR8","doi-asserted-by":"crossref","unstructured":"Deng, J., Dong, W., Socher, R., Li, L.J., Li, K., Fei-Fei, L.: ImageNet: a large-scale hierarchical image database. In: Proceedings of CVPR, pp. 248\u2013255 (2009)","DOI":"10.1109\/CVPR.2009.5206848"},{"key":"24_CR9","doi-asserted-by":"crossref","unstructured":"Gatys, L.A., Ecker, A.S., Bethge, M.: Image style transfer using convolutional neural networks. In: Proceedings of CVPR, pp. 2414\u20132423 (2016)","DOI":"10.1109\/CVPR.2016.265"},{"key":"24_CR10","unstructured":"Goodfellow, I., et al.: Generative adversarial nets. In: Proceedings of NIPS, pp. 2672\u20132680 (2014)"},{"key":"24_CR11","doi-asserted-by":"crossref","unstructured":"Guo, X., Yang, H., Huang, D.: Image inpainting via conditional texture and structure dual generation. In: Proceedings of ICCV, pp. 14134\u201314143 (2021)","DOI":"10.1109\/ICCV48922.2021.01387"},{"key":"24_CR12","doi-asserted-by":"crossref","unstructured":"Gupta, A., Vedaldi, A., Zisserman, A.: Synthetic data for text localisation in natural images. In: Proceedings of CVPR, pp. 2315\u20132324 (2016)","DOI":"10.1109\/CVPR.2016.254"},{"key":"24_CR13","unstructured":"Heusel, M., Ramsauer, H., Unterthiner, T., Nessler, B., Hochreiter, S.: GANs trained by a two time-scale update rule converge to a local nash equilibrium. In: Proceedings of NIPS, pp. 6626\u20136637 (2017)"},{"key":"24_CR14","doi-asserted-by":"crossref","unstructured":"Isola, P., Zhu, J.Y., Zhou, T., Efros, A.A.: Image-to-image translation with conditional adversarial networks. In: Proceedings of CVPR, pp. 1125\u20131134 (2017)","DOI":"10.1109\/CVPR.2017.632"},{"key":"24_CR15","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"694","DOI":"10.1007\/978-3-319-46475-6_43","volume-title":"Computer Vision \u2013 ECCV 2016","author":"J Johnson","year":"2016","unstructured":"Johnson, J., Alahi, A., Fei-Fei, L.: Perceptual losses for real-time style transfer and super-resolution. In: Leibe, B., Matas, J., Sebe, N., Welling, M. (eds.) ECCV 2016. LNCS, vol. 9906, pp. 694\u2013711. Springer, Cham (2016). https:\/\/doi.org\/10.1007\/978-3-319-46475-6_43"},{"key":"24_CR16","doi-asserted-by":"crossref","unstructured":"Karatzas, D., et al.: ICDAR 2015 competition on robust reading. In: Proceedings of ICDAR, pp. 1156\u20131160 (2015)","DOI":"10.1109\/ICDAR.2015.7333942"},{"key":"24_CR17","doi-asserted-by":"crossref","unstructured":"Karatzas, D., et al.: ICDAR 2013 robust reading competition. In: Proceedings of ICDAR, pp. 1484\u20131493 (2013)","DOI":"10.1109\/ICDAR.2013.221"},{"issue":"5","key":"24_CR18","doi-asserted-by":"publisher","first-page":"3152","DOI":"10.1109\/TCSVT.2021.3103922","volume":"32","author":"P Keserwani","year":"2021","unstructured":"Keserwani, P., Roy, P.P.: Text region conditional generative adversarial network for text concealment in the wild. IEEE Trans. Circuits Syst. Video Technol. 32(5), 3152\u20133163 (2021)","journal-title":"IEEE Trans. Circuits Syst. Video Technol."},{"key":"24_CR19","unstructured":"Kingma, D.P., Ba, J.: Adam: a method for stochastic optimization. In: Proceedings of ICLR (2014)"},{"key":"24_CR20","unstructured":"Krishnan, P., Kovvuri, R., Pang, G., Vassilev, B., Hassner, T.: TextStyleBrush: transfer of text aesthetics from a single example. arXiv preprint arXiv:2106.08385 (2021)"},{"issue":"7","key":"24_CR21","doi-asserted-by":"publisher","first-page":"1956","DOI":"10.1007\/s11263-020-01316-z","volume":"128","author":"A Kuznetsova","year":"2020","unstructured":"Kuznetsova, A., et al.: The open images dataset v4. Int. J. Comput. Vision 128(7), 1956\u20131981 (2020)","journal-title":"Int. J. Comput. Vision"},{"key":"24_CR22","doi-asserted-by":"crossref","unstructured":"Liang, J., Cao, J., Sun, G., Zhang, K., Van Gool, L., Timofte, R.: SwinIR: image restoration using swin transformer. In: Proceedings of ICCV, pp. 1833\u20131844 (2021)","DOI":"10.1109\/ICCVW54120.2021.00210"},{"key":"24_CR23","doi-asserted-by":"publisher","first-page":"8760","DOI":"10.1109\/TIP.2020.3018859","volume":"29","author":"C Liu","year":"2020","unstructured":"Liu, C., Liu, Y., Jin, L., Zhang, S., Luo, C., Wang, Y.: EraseNet: end-to-end text removal in the wild. IEEE Trans. Image Process. 29, 8760\u20138775 (2020)","journal-title":"IEEE Trans. Image Process."},{"key":"24_CR24","doi-asserted-by":"crossref","unstructured":"Liu, G., Reda, F.A., Shih, K.J., Wang, T.C., Tao, A., Catanzaro, B.: Image inpainting for irregular holes using partial convolutions. In: Proceedings of ECCV, pp. 85\u2013100 (2018)","DOI":"10.1007\/978-3-030-01252-6_6"},{"key":"24_CR25","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"725","DOI":"10.1007\/978-3-030-58536-5_43","volume-title":"Computer Vision \u2013 ECCV 2020","author":"H Liu","year":"2020","unstructured":"Liu, H., Jiang, B., Song, Y., Huang, W., Yang, C.: Rethinking image inpainting via a mutual encoder-decoder with feature equalizations. In: Vedaldi, A., Bischof, H., Brox, T., Frahm, J.-M. (eds.) ECCV 2020. LNCS, vol. 12347, pp. 725\u2013741. Springer, Cham (2020). https:\/\/doi.org\/10.1007\/978-3-030-58536-5_43"},{"key":"24_CR26","doi-asserted-by":"crossref","unstructured":"Liu, Y., Jin, L., Xie, Z., Luo, C., Zhang, S., Xie, L.: Tightness-aware evaluation protocol for scene text detection. In: Proceedings of CVPR, pp. 9612\u20139620 (2019)","DOI":"10.1109\/CVPR.2019.00984"},{"key":"24_CR27","unstructured":"Mirza, M., Osindero, S.: Conditional generative adversarial nets. arXiv preprint arXiv:1411.1784 (2014)"},{"key":"24_CR28","unstructured":"Miyato, T., Kataoka, T., Koyama, M., Yoshida, Y.: Spectral normalization for generative adversarial networks. In: Proceedings of ICLR (2018)"},{"key":"24_CR29","doi-asserted-by":"crossref","unstructured":"Nakamura, T., Zhu, A., Yanai, K., Uchida, S.: Scene text eraser. In: Proceedings of ICDAR, vol. 01, pp. 832\u2013837 (2017)","DOI":"10.1109\/ICDAR.2017.141"},{"key":"24_CR30","doi-asserted-by":"crossref","unstructured":"Nayef, N., et al.: ICDAR2017 robust reading challenge on multi-lingual scene text detection and script identification - RRC-MLT. In: Proceedings of IDAR, vol. 01, pp. 1454\u20131459 (2017)","DOI":"10.1109\/ICDAR.2017.237"},{"key":"24_CR31","doi-asserted-by":"crossref","unstructured":"Nayef, N., et al.: ICDAR2019 robust reading challenge on multi-lingual scene text detection and recognition-RRC-MLT-2019. In: Proceedings of ICDAR, pp. 1582\u20131587 (2019)","DOI":"10.1109\/ICDAR.2019.00254"},{"key":"24_CR32","doi-asserted-by":"crossref","unstructured":"Nazeri, K., Ng, E., Joseph, T., Qureshi, F., Ebrahimi, M.: EdgeConnect: structure guided image inpainting using edge prediction. In: Proceedings of ICCV Workshops (2019)","DOI":"10.1109\/ICCVW.2019.00408"},{"key":"24_CR33","doi-asserted-by":"crossref","unstructured":"Park, T., Liu, M.Y., Wang, T.C., Zhu, J.Y.: Semantic image synthesis with spatially-adaptive normalization. In: Proceedings of CVPR, pp. 2337\u20132346 (2019)","DOI":"10.1109\/CVPR.2019.00244"},{"key":"24_CR34","unstructured":"Qin, S., Wei, J., Manduchi, R.: Automatic semantic content removal by learning to neglect. In: Proceedings of BMVC, pp. 1\u201312 (2018)"},{"key":"24_CR35","doi-asserted-by":"crossref","unstructured":"Ren, Y., Yu, X., Zhang, R., Li, T.H., Liu, S., Li, G.: StructureFlow: image inpainting via structure-aware appearance flow. In: Proceedings of ICCV, pp. 181\u2013190 (2019)","DOI":"10.1109\/ICCV.2019.00027"},{"key":"24_CR36","doi-asserted-by":"crossref","unstructured":"Ridnik, T., et al.: Asymmetric loss for multi-label classification. In: Proceedings of ICCV, pp. 82\u201391 (2021)","DOI":"10.1109\/ICCV48922.2021.00015"},{"key":"24_CR37","doi-asserted-by":"crossref","unstructured":"Shimoda, W., Haraguchi, D., Uchida, S., Yamaguchi, K.: De-rendering stylized texts. In: Proceedings of ICCV, pp. 1076\u20131085 (2021)","DOI":"10.1109\/ICCV48922.2021.00111"},{"key":"24_CR38","doi-asserted-by":"publisher","first-page":"9306","DOI":"10.1109\/TIP.2021.3125260","volume":"30","author":"Z Tang","year":"2021","unstructured":"Tang, Z., Miyazaki, T., Sugaya, Y., Omachi, S.: Stroke-based scene text erasing using synthetic data for training. IEEE Trans. Image Process. 30, 9306\u20139320 (2021)","journal-title":"IEEE Trans. Image Process."},{"key":"24_CR39","doi-asserted-by":"publisher","first-page":"103066","DOI":"10.1016\/j.cviu.2020.103066","volume":"201","author":"O Tursun","year":"2020","unstructured":"Tursun, O., Denman, S., Zeng, R., Sivapalan, S., Sridharan, S., Fookes, C.: MTRNet++: one-stage mask-based scene text eraser. Comput. Vis. Image Underst. 201, 103066 (2020)","journal-title":"Comput. Vis. Image Underst."},{"key":"24_CR40","doi-asserted-by":"crossref","unstructured":"Tursun, O., Zeng, R., Denman, S., Sivapalan, S., Sridharan, S., Fookes, C.: MTRNet: a generic scene text eraser. In: Proceedings of ICDAR, pp. 39\u201344. IEEE (2019)","DOI":"10.1109\/ICDAR.2019.00016"},{"key":"24_CR41","unstructured":"Vaswani, A., et al.: Attention is all you need. In: Proceedings of NIPS, pp. 6000\u20136010 (2017)"},{"issue":"7","key":"24_CR42","doi-asserted-by":"publisher","first-page":"56","DOI":"10.1145\/129902.129906","volume":"35","author":"BR Vatti","year":"1992","unstructured":"Vatti, B.R.: A generic solution to polygon clipping. Commun. ACM 35(7), 56\u201363 (1992)","journal-title":"Commun. ACM"},{"key":"24_CR43","unstructured":"Veit, A., Matera, T., et al.: COCO-Text: Dataset and benchmark for text detection and recognition in natural images. arXiv preprint arXiv:1601.07140 (2016)"},{"key":"24_CR44","doi-asserted-by":"publisher","first-page":"8212","DOI":"10.1109\/TIP.2021.3113157","volume":"30","author":"C Wang","year":"2021","unstructured":"Wang, C., et al.: Semi-supervised pixel-level scene text segmentation by mutually guided network. IEEE Trans. Image Process. 30, 8212\u20138221 (2021)","journal-title":"IEEE Trans. Image Process."},{"key":"24_CR45","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"591","DOI":"10.1007\/978-3-642-15549-9_43","volume-title":"Computer Vision \u2013 ECCV 2010","author":"K Wang","year":"2010","unstructured":"Wang, K., Belongie, S.: Word spotting in the wild. In: Daniilidis, K., Maragos, P., Paragios, N. (eds.) ECCV 2010. LNCS, vol. 6311, pp. 591\u2013604. Springer, Heidelberg (2010). https:\/\/doi.org\/10.1007\/978-3-642-15549-9_43"},{"key":"24_CR46","doi-asserted-by":"crossref","unstructured":"Wang, W., et al.: Shape robust text detection with progressive scale expansion network. In: Proceedings of CVPR, pp. 9336\u20139345 (2019)","DOI":"10.1109\/CVPR.2019.00956"},{"key":"24_CR47","doi-asserted-by":"crossref","unstructured":"Wang, W., et al.: Efficient and accurate arbitrary-shaped text detection with pixel aggregation network. In: Proceedings of ICCV, pp. 8440\u20138449 (2019)","DOI":"10.1109\/ICCV.2019.00853"},{"key":"24_CR48","unstructured":"Wang, Y., Xie, H., Fang, S., Qu, Y., Zhang, Y.: A simple and strong baseline: Progressively region-based scene text removal networks. arXiv e-prints pp. arXiv-2106 (2021)"},{"key":"24_CR49","doi-asserted-by":"crossref","unstructured":"Wu, L., et al.: Editing text in the wild. In: Proceedings of ACM MM, pp. 1500\u20131508 (2019)","DOI":"10.1145\/3343031.3350929"},{"issue":"6","key":"24_CR50","first-page":"1","volume":"31","author":"L Xu","year":"2012","unstructured":"Xu, L., Yan, Q., Xia, Y., Jia, J.: Structure extraction from texture via relative total variation. ACM Trans. Graph. 31(6), 1\u201310 (2012)","journal-title":"ACM Trans. Graph."},{"key":"24_CR51","doi-asserted-by":"crossref","unstructured":"Xu, X., Zhang, Z., Wang, Z., Price, B., Wang, Z., Shi, H.: Rethinking text segmentation: a novel dataset and a text-specific refinement approach. In: Proceedings of CVPR, pp. 12045\u201312055 (2021)","DOI":"10.1109\/CVPR46437.2021.01187"},{"key":"24_CR52","doi-asserted-by":"crossref","unstructured":"Yang, Q., Huang, J., Lin, W.: Swaptext: image based texts transfer in scenes. In: Proceedings of CVPR, pp. 14700\u201314709 (2020)","DOI":"10.1109\/CVPR42600.2020.01471"},{"key":"24_CR53","doi-asserted-by":"publisher","first-page":"192","DOI":"10.1016\/j.neucom.2021.02.045","volume":"441","author":"B Yu","year":"2021","unstructured":"Yu, B., Xu, Y., Huang, Y., Yang, S., Liu, J.: Mask-guided GAN for robust text editing in the scene. Neurocomputing 441, 192\u2013201 (2021)","journal-title":"Neurocomputing"},{"key":"24_CR54","doi-asserted-by":"publisher","first-page":"337","DOI":"10.1016\/j.patcog.2019.02.002","volume":"90","author":"L Yuliang","year":"2019","unstructured":"Yuliang, L., Lianwen, J., Shuaitao, Z., Sheng, Z.: Curved scene text detection via transverse and longitudinal sequence connection. Pattern Recogn. 90, 337\u2013345 (2019)","journal-title":"Pattern Recogn."},{"key":"24_CR55","doi-asserted-by":"crossref","unstructured":"Zdenek, J., Nakayama, H.: Erasing scene text with weak supervision. In: Proceedings of WACV (2020)","DOI":"10.1109\/WACV45572.2020.9093544"},{"key":"24_CR56","doi-asserted-by":"crossref","unstructured":"Zhang, S., Liu, Y., Jin, L., Huang, Y., Lai, S.: EnsNet: ensconce text in the wild. In: Proceedings of AAAI, vol. 33, pp. 801\u2013808 (2019)","DOI":"10.1609\/aaai.v33i01.3301801"},{"key":"24_CR57","doi-asserted-by":"crossref","unstructured":"Zhang, W., et al.: Context-aware image inpainting with learned semantic priors. In: Proceedings of IJCAI, pp. 1323\u20131329 (2021)","DOI":"10.24963\/ijcai.2021\/183"},{"key":"24_CR58","doi-asserted-by":"crossref","unstructured":"Zheng, C., Cham, T.J., Cai, J.: Pluralistic image completion. In: Proceedings of CVPR, pp. 1438\u20131447 (2019)","DOI":"10.1109\/CVPR.2019.00153"}],"container-title":["Lecture Notes in Computer Science","Computer Vision \u2013 ECCV 2022"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-031-19815-1_24","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,10,21]],"date-time":"2022-10-21T23:26:50Z","timestamp":1666394810000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-031-19815-1_24"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022]]},"ISBN":["9783031198144","9783031198151"],"references-count":58,"URL":"https:\/\/doi.org\/10.1007\/978-3-031-19815-1_24","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"value":"0302-9743","type":"print"},{"value":"1611-3349","type":"electronic"}],"subject":[],"published":{"date-parts":[[2022]]},"assertion":[{"value":"20 October 2022","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"ECCV","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"European Conference on Computer Vision","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Tel Aviv","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Israel","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2022","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"23 October 2022","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"27 October 2022","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"17","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"eccv2022","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/eccv2022.ecva.net\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Double-blind","order":1,"name":"type","label":"Type","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"CMT","order":2,"name":"conference_management_system","label":"Conference Management System","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"5804","order":3,"name":"number_of_submissions_sent_for_review","label":"Number of Submissions Sent for Review","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"1645","order":4,"name":"number_of_full_papers_accepted","label":"Number of Full Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"0","order":5,"name":"number_of_short_papers_accepted","label":"Number of Short Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"28% - The value is computed by the equation \"Number of Full Papers Accepted \/ Number of Submissions Sent for Review * 100\" and then rounded to a whole number.","order":6,"name":"acceptance_rate_of_full_papers","label":"Acceptance Rate of Full Papers","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"3.21","order":7,"name":"average_number_of_reviews_per_paper","label":"Average Number of Reviews per Paper","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"3.91","order":8,"name":"average_number_of_papers_per_reviewer","label":"Average Number of Papers per Reviewer","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"Yes","order":9,"name":"external_reviewers_involved","label":"External Reviewers Involved","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}}]}}