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In Proceedings of the European Conference on Computer Vision (ECCV)."},{"key":"e_1_3_2_2_35_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-58604-1_25"},{"key":"e_1_3_2_2_36_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00499"},{"key":"e_1_3_2_2_37_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2009.5459459"},{"key":"e_1_3_2_2_38_1","volume-title":"Proceedings of IEEE Conference on Computer Vision and Pattern Recognition (CVPR).","author":"Sattler T.","unstructured":"T. Sattler , W. Maddern , C. Toft , A. Torii , L. Hammarstrand , E. Stenborg , D. Safari , M. Okutomi , M. Pollefeys , J. Sivic , F. Kahl , and T. Pajdla . 2018. Benchmarking 6DOF outdoor visual localization in changing conditions . In Proceedings of IEEE Conference on Computer Vision and Pattern Recognition (CVPR). T. Sattler, W. Maddern, C. Toft, A. Torii, L. Hammarstrand, E. Stenborg, D. Safari, M. Okutomi, M. Pollefeys, J. Sivic, F. Kahl, and T. Pajdla. 2018. 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In Proceedings of the IEEE\/CVF Winter Conference on Applications of Computer Vision (WACV)."},{"key":"e_1_3_2_2_44_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.00881"},{"key":"e_1_3_2_2_45_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.526"},{"key":"e_1_3_2_2_46_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-540-88688-4_44"},{"key":"e_1_3_2_2_47_1","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2012.105"},{"key":"e_1_3_2_2_48_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.628"},{"key":"e_1_3_2_2_49_1","volume-title":"Advances in Neural Information Processing Systems","author":"Vaswani Ashish","year":"2017","unstructured":"Ashish Vaswani , Noam Shazeer , Niki Parmar , Jakob Uszkoreit , Llion Jones , Aidan N Gomez , Lukasz Kaiser , and Illia Polosukhin . 2017. Attention is All you Need . In Advances in Neural Information Processing Systems , I. Guyon, U. V. Luxburg, S. Bengio, H. Wallach, R. Fergus, S. Vishwanathan, and R. 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