{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,1]],"date-time":"2026-04-01T18:42:15Z","timestamp":1775068935489,"version":"3.50.1"},"publisher-location":"Cham","reference-count":48,"publisher":"Springer International Publishing","isbn-type":[{"value":"9783030585471","type":"print"},{"value":"9783030585488","type":"electronic"}],"license":[{"start":{"date-parts":[[2020,1,1]],"date-time":"2020-01-01T00:00:00Z","timestamp":1577836800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2020,1,1]],"date-time":"2020-01-01T00:00:00Z","timestamp":1577836800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2020]]},"DOI":"10.1007\/978-3-030-58548-8_22","type":"book-chapter","created":{"date-parts":[[2020,10,28]],"date-time":"2020-10-28T23:02:42Z","timestamp":1603926162000},"page":"369-386","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":127,"title":["Self-supervising Fine-Grained Region Similarities for Large-Scale Image Localization"],"prefix":"10.1007","author":[{"given":"Yixiao","family":"Ge","sequence":"first","affiliation":[]},{"given":"Haibo","family":"Wang","sequence":"additional","affiliation":[]},{"given":"Feng","family":"Zhu","sequence":"additional","affiliation":[]},{"given":"Rui","family":"Zhao","sequence":"additional","affiliation":[]},{"given":"Hongsheng","family":"Li","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2020,10,29]]},"reference":[{"key":"22_CR1","doi-asserted-by":"crossref","unstructured":"Arandjelovic, R., Gronat, P., Torii, A., Pajdla, T., Sivic, J.: NetVLAD: CNN architecture for weakly supervised place recognition. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp. 5297\u20135307 (2016)","DOI":"10.1109\/CVPR.2016.572"},{"key":"22_CR2","doi-asserted-by":"crossref","unstructured":"Arandjelovic, R., Zisserman, A.: All about VLAD. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp. 1578\u20131585 (2013)","DOI":"10.1109\/CVPR.2013.207"},{"key":"22_CR3","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"188","DOI":"10.1007\/978-3-319-16817-3_13","volume-title":"Computer Vision \u2013 ACCV 2014","author":"R Arandjelovi\u0107","year":"2015","unstructured":"Arandjelovi\u0107, R., Zisserman, A.: DisLocation: scalable descriptor distinctiveness for location recognition. In: Cremers, D., Reid, I., Saito, H., Yang, M.-H. (eds.) ACCV 2014. LNCS, vol. 9006, pp. 188\u2013204. Springer, Cham (2015). https:\/\/doi.org\/10.1007\/978-3-319-16817-3_13"},{"key":"22_CR4","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"139","DOI":"10.1007\/978-3-030-01264-9_9","volume-title":"Computer Vision \u2013 ECCV 2018","author":"M Caron","year":"2018","unstructured":"Caron, M., Bojanowski, P., Joulin, A., Douze, M.: Deep clustering for unsupervised learning of visual features. In: Ferrari, V., Hebert, M., Sminchisescu, C., Weiss, Y. (eds.) Computer Vision \u2013 ECCV 2018. LNCS, vol. 11218, pp. 139\u2013156. Springer, Cham (2018). https:\/\/doi.org\/10.1007\/978-3-030-01264-9_9"},{"key":"22_CR5","doi-asserted-by":"crossref","unstructured":"Castle, R., Klein, G., Murray, D.W.: Video-rate localization in multiple maps for wearable augmented reality. In: 2008 12th IEEE International Symposium on Wearable Computers, pp. 15\u201322. IEEE (2008)","DOI":"10.1109\/ISWC.2008.4911577"},{"key":"22_CR6","doi-asserted-by":"crossref","unstructured":"Chen, D.M., et al.: City-scale landmark identification on mobile devices. In: CVPR 2011, pp. 737\u2013744. IEEE (2011)","DOI":"10.1109\/CVPR.2011.5995610"},{"key":"22_CR7","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: 2009 IEEE Conference on Computer Vision and Pattern Recognition, pp. 248\u2013255. IEEE (2009)","DOI":"10.1109\/CVPR.2009.5206848"},{"key":"22_CR8","doi-asserted-by":"crossref","unstructured":"Doersch, C., Gupta, A., Efros, A.A.: Unsupervised visual representation learning by context prediction. In: Proceedings of the IEEE International Conference on Computer Vision, pp. 1422\u20131430 (2015)","DOI":"10.1109\/ICCV.2015.167"},{"issue":"6","key":"22_CR9","doi-asserted-by":"publisher","first-page":"381","DOI":"10.1145\/358669.358692","volume":"24","author":"MA Fischler","year":"1981","unstructured":"Fischler, M.A., Bolles, R.C.: Random sample consensus: a paradigm for model fitting with applications to image analysis and automated cartography. Commun. ACM 24(6), 381\u2013395 (1981)","journal-title":"Commun. ACM"},{"key":"22_CR10","unstructured":"Furlanello, T., Lipton, Z.C., Tschannen, M., Itti, L., Anandkumar, A.: Born again neural networks. In: International Conference on Machine Learning (2018)"},{"key":"22_CR11","unstructured":"Ge, Y., Chen, D., Li, H.: Mutual mean-teaching: pseudo label refinery for unsupervised domain adaptation on person re-identification. In: International Conference on Learning Representations (2020)"},{"key":"22_CR12","unstructured":"Ge, Y., Chen, D., Zhu, F., Zhao, R., Li, H.: Self-paced contrastive learning with hybrid memory for domain adaptive object Re-ID (2020)"},{"key":"22_CR13","unstructured":"Ge, Y., et al.: FD-GAN: pose-guided feature distilling GAN for robust person re-identification. In: Advances in Neural Information Processing Systems, pp. 1229\u20131240 (2018)"},{"key":"22_CR14","unstructured":"Ge, Y., Zhu, F., Zhao, R., Li, H.: Structured domain adaptation with online relation regularization for unsupervised person Re-ID (2020)"},{"key":"22_CR15","unstructured":"Gidaris, S., Singh, P., Komodakis, N.: Unsupervised representation learning by predicting image rotations. arXiv preprint arXiv:1803.07728 (2018)"},{"key":"22_CR16","doi-asserted-by":"crossref","unstructured":"Goyal, P., Mahajan, D., Gupta, A., Misra, I.: Scaling and benchmarking self-supervised visual representation learning. In: Proceedings of the IEEE International Conference on Computer Vision, pp. 6391\u20136400 (2019)","DOI":"10.1109\/ICCV.2019.00649"},{"key":"22_CR17","doi-asserted-by":"publisher","first-page":"14","DOI":"10.1016\/j.imavis.2017.07.003","volume":"68","author":"C H\u00e4ne","year":"2017","unstructured":"H\u00e4ne, C., et al.: 3D visual perception for self-driving cars using a multi-camera system: calibration, mapping, localization, and obstacle detection. Image Vis. Comput. 68, 14\u201327 (2017)","journal-title":"Image Vis. Comput."},{"key":"22_CR18","volume-title":"Multiple View Geometry in Computer Vision","author":"R Hartley","year":"2003","unstructured":"Hartley, R., Zisserman, A.: Multiple View Geometry in Computer Vision. Cambridge University Press, Cambridge (2003)"},{"key":"22_CR19","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"544","DOI":"10.1007\/978-3-030-01249-6_33","volume-title":"Computer Vision \u2013 ECCV 2018","author":"PH Seo","year":"2018","unstructured":"Seo, P.H., Weyand, T., Sim, J., Han, B.: CPlaNet: enhancing image geolocalization by combinatorial partitioning of maps. In: Ferrari, V., Hebert, M., Sminchisescu, C., Weiss, Y. (eds.) ECCV 2018. LNCS, vol. 11214, pp. 544\u2013560. Springer, Cham (2018). https:\/\/doi.org\/10.1007\/978-3-030-01249-6_33"},{"key":"22_CR20","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"304","DOI":"10.1007\/978-3-540-88682-2_24","volume-title":"Computer Vision \u2013 ECCV 2008","author":"H Jegou","year":"2008","unstructured":"Jegou, H., Douze, M., Schmid, C.: Hamming embedding and weak geometric consistency for large scale image search. In: Forsyth, D., Torr, P., Zisserman, A. (eds.) ECCV 2008. LNCS, vol. 5302, pp. 304\u2013317. Springer, Heidelberg (2008). https:\/\/doi.org\/10.1007\/978-3-540-88682-2_24"},{"key":"22_CR21","doi-asserted-by":"crossref","unstructured":"J\u00e9gou, H., Douze, M., Schmid, C., P\u00e9rez, P.: Aggregating local descriptors into a compact image representation. In: 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, pp. 3304\u20133311. IEEE (2010)","DOI":"10.1109\/CVPR.2010.5540039"},{"issue":"9","key":"22_CR22","doi-asserted-by":"publisher","first-page":"1704","DOI":"10.1109\/TPAMI.2011.235","volume":"34","author":"H Jegou","year":"2011","unstructured":"Jegou, H., Perronnin, F., Douze, M., S\u00e1nchez, J., Perez, P., Schmid, C.: Aggregating local image descriptors into compact codes. IEEE Trans. Pattern Anal. Mach. Intell. 34(9), 1704\u20131716 (2011)","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"key":"22_CR23","doi-asserted-by":"crossref","unstructured":"Kim, H.J., Dunn, E., Frahm, J.M.: Learned contextual feature reweighting for image geo-localization. In: 2017 IEEE Conference on Computer Vision and Pattern Recognition, pp. 3251\u20133260. IEEE (2017)","DOI":"10.1109\/CVPR.2017.346"},{"key":"22_CR24","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"748","DOI":"10.1007\/978-3-642-15549-9_54","volume-title":"Computer Vision \u2013 ECCV 2010","author":"J Knopp","year":"2010","unstructured":"Knopp, J., Sivic, J., Pajdla, T.: Avoiding confusing features in place recognition. In: Daniilidis, K., Maragos, P., Paragios, N. (eds.) ECCV 2010. LNCS, vol. 6311, pp. 748\u2013761. Springer, Heidelberg (2010). https:\/\/doi.org\/10.1007\/978-3-642-15549-9_54"},{"key":"22_CR25","doi-asserted-by":"crossref","unstructured":"Kolesnikov, A., Zhai, X., Beyer, L.: Revisiting self-supervised visual representation learning. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp. 1920\u20131929 (2019)","DOI":"10.1109\/CVPR.2019.00202"},{"issue":"7553","key":"22_CR26","doi-asserted-by":"publisher","first-page":"436","DOI":"10.1038\/nature14539","volume":"521","author":"Y LeCun","year":"2015","unstructured":"LeCun, Y., Bengio, Y., Hinton, G.: Deep learning. Nature 521(7553), 436\u2013444 (2015)","journal-title":"Nature"},{"key":"22_CR27","doi-asserted-by":"crossref","unstructured":"Liu, L., Li, H., Dai, Y.: Efficient global 2D\u20133D matching for camera localization in a large-scale 3D map. In: Proceedings of the IEEE International Conference on Computer Vision, pp. 2372\u20132381 (2017)","DOI":"10.1109\/ICCV.2017.260"},{"key":"22_CR28","doi-asserted-by":"crossref","unstructured":"Liu, L., Li, H., Dai, Y.: Stochastic attraction-repulsion embedding for large scale image localization. In: Proceedings of the IEEE International Conference on Computer Vision, pp. 2570\u20132579 (2019)","DOI":"10.1109\/ICCV.2019.00266"},{"issue":"2","key":"22_CR29","doi-asserted-by":"publisher","first-page":"91","DOI":"10.1023\/B:VISI.0000029664.99615.94","volume":"60","author":"DG Lowe","year":"2004","unstructured":"Lowe, D.G.: Distinctive image features from scale-invariant keypoints. Int. J. Comput. Vision 60(2), 91\u2013110 (2004)","journal-title":"Int. J. Comput. Vision"},{"issue":"5","key":"22_CR30","doi-asserted-by":"publisher","first-page":"1147","DOI":"10.1109\/TRO.2015.2463671","volume":"31","author":"R Mur-Artal","year":"2015","unstructured":"Mur-Artal, R., Montiel, J.M.M., Tardos, J.D.: ORB-SLAM: a versatile and accurate monocular SLAM system. IEEE Trans. Rob. 31(5), 1147\u20131163 (2015)","journal-title":"IEEE Trans. Rob."},{"key":"22_CR31","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"69","DOI":"10.1007\/978-3-319-46466-4_5","volume-title":"Computer Vision \u2013 ECCV 2016","author":"M Noroozi","year":"2016","unstructured":"Noroozi, M., Favaro, P.: Unsupervised learning of visual representations by solving jigsaw puzzles. In: Leibe, B., Matas, J., Sebe, N., Welling, M. (eds.) ECCV 2016. LNCS, vol. 9910, pp. 69\u201384. Springer, Cham (2016). https:\/\/doi.org\/10.1007\/978-3-319-46466-4_5"},{"key":"22_CR32","doi-asserted-by":"crossref","unstructured":"Noroozi, M., Pirsiavash, H., Favaro, P.: Representation learning by learning to count. In: Proceedings of the IEEE International Conference on Computer Vision, pp. 5898\u20135906 (2017)","DOI":"10.1109\/ICCV.2017.628"},{"key":"22_CR33","doi-asserted-by":"crossref","unstructured":"Paulin, M., Douze, M., Harchaoui, Z., Mairal, J., Perronin, F., Schmid, C.: Local convolutional features with unsupervised training for image retrieval. In: Proceedings of the IEEE International Conference on Computer Vision, pp. 91\u201399 (2015)","DOI":"10.1109\/ICCV.2015.19"},{"key":"22_CR34","doi-asserted-by":"crossref","unstructured":"Perronnin, F., Liu, Y., S\u00e1nchez, J., Poirier, H.: Large-scale image retrieval with compressed fisher vectors. In: 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, pp. 3384\u20133391. IEEE (2010)","DOI":"10.1109\/CVPR.2010.5540009"},{"key":"22_CR35","doi-asserted-by":"crossref","unstructured":"Philbin, J., Chum, O., Isard, M., Sivic, J., Zisserman, A.: Object retrieval with large vocabularies and fast spatial matching. In: 2007 IEEE Conference on Computer Vision and Pattern Recognition, pp. 1\u20138. IEEE (2007)","DOI":"10.1109\/CVPR.2007.383172"},{"key":"22_CR36","doi-asserted-by":"crossref","unstructured":"Philbin, J., Chum, O., Isard, M., Sivic, J., Zisserman, A.: Lost in quantization: improving particular object retrieval in large scale image databases. In: IEEE Conference on Computer Vision and Pattern Recognition (2008)","DOI":"10.1109\/CVPR.2008.4587635"},{"key":"22_CR37","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"3","DOI":"10.1007\/978-3-319-46448-0_1","volume-title":"Computer Vision \u2013 ECCV 2016","author":"F Radenovi\u0107","year":"2016","unstructured":"Radenovi\u0107, F., Tolias, G., Chum, O.: CNN image retrieval learns from BoW: unsupervised fine-tuning with hard examples. In: Leibe, B., Matas, J., Sebe, N., Welling, M. (eds.) ECCV 2016. LNCS, vol. 9905, pp. 3\u201320. Springer, Cham (2016). https:\/\/doi.org\/10.1007\/978-3-319-46448-0_1"},{"key":"22_CR38","doi-asserted-by":"crossref","unstructured":"Sattler, T., Leibe, B., Kobbelt, L.: Fast image-based localization using direct 2D-to-3D matching. In: 2011 International Conference on Computer Vision, pp. 667\u2013674. IEEE (2011)","DOI":"10.1109\/ICCV.2011.6126302"},{"key":"22_CR39","doi-asserted-by":"crossref","unstructured":"Schindler, G., Brown, M., Szeliski, R.: City-scale location recognition. In: 2007 IEEE Conference on Computer Vision and Pattern Recognition, pp. 1\u20137. IEEE (2007)","DOI":"10.1109\/CVPR.2007.383150"},{"key":"22_CR40","unstructured":"Simonyan, K., Zisserman, A.: Very deep convolutional networks for large-scale image recognition. arXiv preprint arXiv:1409.1556 (2014)"},{"key":"22_CR41","doi-asserted-by":"crossref","unstructured":"Torii, A., Arandjelovic, R., Sivic, J., Okutomi, M., Pajdla, T.: 24\/7 place recognition by view synthesis. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp. 1808\u20131817 (2015)","DOI":"10.1109\/CVPR.2015.7298790"},{"key":"22_CR42","doi-asserted-by":"crossref","unstructured":"Torii, A., Sivic, J., Pajdla, T., Okutomi, M.: Visual place recognition with repetitive structures. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp. 883\u2013890 (2013)","DOI":"10.1109\/CVPR.2013.119"},{"key":"22_CR43","doi-asserted-by":"crossref","unstructured":"Vo, N., Jacobs, N., Hays, J.: Revisiting IM2GPS in the deep learning era. In: Proceedings of the IEEE International Conference on Computer Vision, pp. 2621\u20132630 (2017)","DOI":"10.1109\/ICCV.2017.286"},{"key":"22_CR44","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"37","DOI":"10.1007\/978-3-319-46484-8_3","volume-title":"Computer Vision \u2013 ECCV 2016","author":"T Weyand","year":"2016","unstructured":"Weyand, T., Kostrikov, I., Philbin, J.: PlaNet - photo geolocation with convolutional neural networks. In: Leibe, B., Matas, J., Sebe, N., Welling, M. (eds.) ECCV 2016. LNCS, vol. 9912, pp. 37\u201355. Springer, Cham (2016). https:\/\/doi.org\/10.1007\/978-3-319-46484-8_3"},{"key":"22_CR45","doi-asserted-by":"crossref","unstructured":"Xie, Q., Hovy, E., Luong, M.T., Le, Q.V.: Self-training with noisy student improves ImageNet classification. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (2020)","DOI":"10.1109\/CVPR42600.2020.01070"},{"key":"22_CR46","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"818","DOI":"10.1007\/978-3-319-10590-1_53","volume-title":"Computer Vision \u2013 ECCV 2014","author":"MD Zeiler","year":"2014","unstructured":"Zeiler, M.D., Fergus, R.: Visualizing and understanding convolutional networks. In: Fleet, D., Pajdla, T., Schiele, B., Tuytelaars, T. (eds.) ECCV 2014. LNCS, vol. 8689, pp. 818\u2013833. Springer, Cham (2014). https:\/\/doi.org\/10.1007\/978-3-319-10590-1_53"},{"key":"22_CR47","doi-asserted-by":"crossref","unstructured":"Zhang, M., Song, G., Zhou, H., Liu, Y.: Discriminability distillation in group representation learning. In: European Conference on Computer Vision (2020)","DOI":"10.1007\/978-3-030-58607-2_1"},{"key":"22_CR48","doi-asserted-by":"crossref","unstructured":"Zhou, H., Liu, J., Liu, Z., Liu, Y., Wang, X.: Rotate-and-render: unsupervised photorealistic face rotation from single-view images. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, pp. 5911\u20135920 (2020)","DOI":"10.1109\/CVPR42600.2020.00595"}],"container-title":["Lecture Notes in Computer Science","Computer Vision \u2013 ECCV 2020"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-030-58548-8_22","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,10,29]],"date-time":"2024-10-29T00:10:01Z","timestamp":1730160601000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-030-58548-8_22"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020]]},"ISBN":["9783030585471","9783030585488"],"references-count":48,"URL":"https:\/\/doi.org\/10.1007\/978-3-030-58548-8_22","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"value":"0302-9743","type":"print"},{"value":"1611-3349","type":"electronic"}],"subject":[],"published":{"date-parts":[[2020]]},"assertion":[{"value":"29 October 2020","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":"Glasgow","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"United Kingdom","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2020","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"23 August 2020","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"28 August 2020","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"16","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"eccv2020","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/eccv2020.eu\/","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":"OpenReview","order":2,"name":"conference_management_system","label":"Conference Management System","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"5025","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":"1360","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":"27% - 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","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":"7","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)"}},{"value":"The conference was held virtually due to the COVID-19 pandemic.","order":10,"name":"additional_info_on_review_process","label":"Additional Info on Review Process","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}}]}}