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Lynen , T. Sattler , M. Bosse , J. Hesch , M. Pollefeys , and R. Siegwart , \" Get out of my lab: Large-scale, real-time visual-inertial localization,\" in Robotics: Science and Systems , 2015 , pp. 338 -- 347 . S. Lynen, T. Sattler, M. Bosse, J. Hesch, M. Pollefeys, and R. Siegwart, \"Get out of my lab: Large-scale, real-time visual-inertial localization,\" in Robotics: Science and Systems, 2015, pp. 338--347."},{"volume-title":"Efficient & effective prioritized matching for large-scale image-based localization,\" IEEE transactions on pattern analysis and machine intelligence","author":"Sattler T.","key":"e_1_3_2_1_2_1","unstructured":"T. Sattler , B. Leibe , and L. Kobbelt , \" Efficient & effective prioritized matching for large-scale image-based localization,\" IEEE transactions on pattern analysis and machine intelligence , vol. 39 , no. 9, pp. 1744--1756, 2017. T. Sattler, B. Leibe, and L. Kobbelt, \"Efficient & effective prioritized matching for large-scale image-based localization,\" IEEE transactions on pattern analysis and machine intelligence, vol. 39, no. 9, pp. 1744--1756, 2017."},{"volume-title":"City-scale localiz\u00e4tion for cameras with known vertical direction,\" IEEE transactions on pattern analysis and machine intelligence","author":"Svarm L.","key":"e_1_3_2_1_3_1","unstructured":"L. Svarm , O. Enqvist , F. Kahl , and M. Oskarsson , \" City-scale localiz\u00e4tion for cameras with known vertical direction,\" IEEE transactions on pattern analysis and machine intelligence , vol. 39 , no. 7, pp. 1455--1461, 2016. L. Svarm, O. Enqvist, F. Kahl, and M. Oskarsson, \"City-scale localiz\u00e4tion for cameras with known vertical direction,\" IEEE transactions on pattern analysis and machine intelligence, vol. 39, no. 7, pp. 1455--1461, 2016."},{"key":"e_1_3_2_1_4_1","first-page":"4104","volume-title":"Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition","author":"Schonberger J. L.","year":"2016","unstructured":"J. L. Schonberger and J.-M. Frahm , \"Structure-from-motion revisited,\" in Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition , 2016 , pp. 4104 -- 4113 . J. L. Schonberger and J.-M. Frahm, \"Structure-from-motion revisited,\" in Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2016, pp. 4104--4113."},{"key":"e_1_3_2_1_5_1","first-page":"2930","volume-title":"Scene coordinate regression forests for camera relocalization in rgb-d images,\" in Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition","author":"Shotton J.","year":"2013","unstructured":"J. Shotton , B. Glocker , C. Zach , S. Izadi , A. Criminisi , and A. Fitzgibbon , \" Scene coordinate regression forests for camera relocalization in rgb-d images,\" in Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition , 2013 , pp. 2930 -- 2937 . J. Shotton, B. Glocker, C. Zach, S. Izadi, A. Criminisi, and A. Fitzgibbon, \"Scene coordinate regression forests for camera relocalization in rgb-d images,\" in Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2013, pp. 2930--2937."},{"key":"e_1_3_2_1_6_1","first-page":"2938","author":"Kendall A.","year":"2015","unstructured":"A. Kendall , M. Grimes , and R. Cipolla , \"Posenet: A convolutional network for real-time 6-dof camera relocalization,\" in Proceedings of the IEEE international conference on computer vision , 2015 , pp. 2938 -- 2946 . A. Kendall, M. Grimes, and R. Cipolla, \"Posenet: A convolutional network for real-time 6-dof camera relocalization,\" in Proceedings of the IEEE international conference on computer vision, 2015, pp. 2938--2946.","journal-title":"\"Posenet: A convolutional network for real-time 6-dof camera relocalization,\" in Proceedings of the IEEE international conference on computer vision"},{"key":"e_1_3_2_1_7_1","first-page":"5974","volume-title":"Geometric loss functions for camera pose regression with deep learning,\" in Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition","author":"Kendall A.","year":"2017","unstructured":"A. Kendall and R. Cipolla , \" Geometric loss functions for camera pose regression with deep learning,\" in Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition , 2017 , pp. 5974 -- 5983 . A. Kendall and R. Cipolla, \"Geometric loss functions for camera pose regression with deep learning,\" in Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2017, pp. 5974--5983."},{"key":"e_1_3_2_1_8_1","first-page":"627","author":"Walch F.","year":"2017","unstructured":"F. Walch , C. Hazirbas , L. Leal-Taixe , T. Sattler , S. Hilsenbeck , and D. Cremers , \"Image-based localization using lstms for structured feature correlation,\" in Proceedings of the IEEE International Conference on Computer Vision , 2017 , pp. 627 -- 637 . F. Walch, C. Hazirbas, L. Leal-Taixe, T. Sattler, S. Hilsenbeck, and D. Cremers, \"Image-based localization using lstms for structured feature correlation,\" in Proceedings of the IEEE International Conference on Computer Vision, 2017, pp. 627--637.","journal-title":"\"Image-based localization using lstms for structured feature correlation,\" in Proceedings of the IEEE International Conference on Computer Vision"},{"key":"e_1_3_2_1_9_1","first-page":"6684","author":"Brachmann E.","year":"2017","unstructured":"E. Brachmann , A. Krull , S. Nowozin , J. Shotton , F. Michel , S. Gumhold , and C. Rother , \"Dsac-differentiable ransac for camera localization,\" in Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition , 2017 , pp. 6684 -- 6692 . E. Brachmann, A. Krull, S. Nowozin, J. Shotton, F. Michel, S. Gumhold, and C. Rother, \"Dsac-differentiable ransac for camera localization,\" in Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2017, pp. 6684--6692.","journal-title":"\"Dsac-differentiable ransac for camera localization,\" in Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition"},{"key":"e_1_3_2_1_10_1","first-page":"1525","volume-title":"IEEE","author":"Naseer T.","year":"2017","unstructured":"T. Naseer and W. Burgard , \" Deep regression for monocular camerabased 6-dof global localization in outdoor environments,\" in 2017 IEEE\/RSJ International Conference on Intelligent Robots and Systems (IROS) . IEEE , 2017 , pp. 1525 -- 1530 . T. Naseer and W. Burgard, \"Deep regression for monocular camerabased 6-dof global localization in outdoor environments,\" in 2017 IEEE\/RSJ International Conference on Intelligent Robots and Systems (IROS). IEEE, 2017, pp. 1525--1530."},{"key":"e_1_3_2_1_11_1","volume-title":"Very deep convolutional networks for large-scale image recognition,\" arXiv preprint arXiv:1409.1556","author":"Simonyan K.","year":"2014","unstructured":"K. Simonyan and A. Zisserman , \" Very deep convolutional networks for large-scale image recognition,\" arXiv preprint arXiv:1409.1556 , 2014 . K. Simonyan and A. Zisserman, \"Very deep convolutional networks for large-scale image recognition,\" arXiv preprint arXiv:1409.1556, 2014."},{"key":"e_1_3_2_1_12_1","first-page":"2650","volume-title":"Predicting depth, surface normals and semantic labels with a common multi-scale convolutional architecture,\" in Proceedings of the IEEE international conference on computer vision","author":"Eigen D.","year":"2015","unstructured":"D. Eigen and R. Fergus , \" Predicting depth, surface normals and semantic labels with a common multi-scale convolutional architecture,\" in Proceedings of the IEEE international conference on computer vision , 2015 , pp. 2650 -- 2658 . D. Eigen and R. Fergus, \"Predicting depth, surface normals and semantic labels with a common multi-scale convolutional architecture,\" in Proceedings of the IEEE international conference on computer vision, 2015, pp. 2650--2658."},{"key":"e_1_3_2_1_13_1","first-page":"2616","author":"Brahmbhatt S.","year":"2018","unstructured":"S. Brahmbhatt , J. Gu , K. Kim , J. Hays , and J. Kautz , R@\"Geometry-aware learning of maps for camera localization,\" in Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition , 2018 , pp. 2616 -- 2625 . S. Brahmbhatt, J. Gu, K. Kim, J. Hays, and J. Kautz, R@\"Geometry-aware learning of maps for camera localization,\" in Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2018, pp. 2616--2625.","journal-title":"R@\"Geometry-aware learning of maps for camera localization,\" in Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition"},{"key":"e_1_3_2_1_14_1","first-page":"1","author":"Szegedy C.","year":"2015","unstructured":"C. Szegedy , W. Liu , Y. Jia , P. Sermanet , S. Reed , D. Anguelov , D. Erhan , V. Vanhoucke , and A. Rabinovich , \"Going deeper with convolutions,\" in Proceedings of the IEEE conference on computer vision and pattern recognition , 2015 , pp. 1 -- 9 . C. Szegedy, W. Liu, Y. Jia, P. Sermanet, S. Reed, D. Anguelov, D. Erhan, V. Vanhoucke, and A. Rabinovich, \"Going deeper with convolutions,\" in Proceedings of the IEEE conference on computer vision and pattern recognition, 2015, pp. 1--9.","journal-title":"\"Going deeper with convolutions,\" in Proceedings of the IEEE conference on computer vision and pattern recognition"},{"key":"e_1_3_2_1_15_1","first-page":"2041","volume-title":"Megadepth: Learning single-view depth prediction from internet photos,\" in Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition","author":"Li Z.","year":"2018","unstructured":"Z. Li and N. Snavely , \" Megadepth: Learning single-view depth prediction from internet photos,\" in Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition , 2018 , pp. 2041 -- 2050 . Z. Li and N. Snavely, \"Megadepth: Learning single-view depth prediction from internet photos,\" in Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2018, pp. 2041--2050."},{"key":"e_1_3_2_1_16_1","volume-title":"Integrated recognition, localization and detection using convolutional networks,\" arXiv preprint arXiv:1312.6229","author":"Sermanet P.","year":"2013","unstructured":"P. Sermanet , D. Eigen , X. Zhang , M. Mathieu , R. Fergus , and Y. LeCun , \"Overfeat : Integrated recognition, localization and detection using convolutional networks,\" arXiv preprint arXiv:1312.6229 , 2013 . P. Sermanet, D. Eigen, X. Zhang, M. Mathieu, R. Fergus, and Y. LeCun, \"Overfeat: Integrated recognition, localization and detection using convolutional networks,\" arXiv preprint arXiv:1312.6229, 2013."},{"key":"e_1_3_2_1_17_1","first-page":"1013","volume-title":"IEEE","author":"Teichmann M.","year":"2018","unstructured":"M. Teichmann , M. Weber , M. Zoellner , R. Cipolla , and R. Urtasun , \" Multinet: Real-time joint semantic reasoning for autonomous driving,\" in 2018 IEEE Intelligent Vehicles Symposium (IV) . IEEE , 2018 , pp. 1013 -- 1020 . M. Teichmann, M. Weber, M. Zoellner, R. Cipolla, and R. Urtasun, \"Multinet: Real-time joint semantic reasoning for autonomous driving,\" in 2018 IEEE Intelligent Vehicles Symposium (IV). IEEE, 2018, pp. 1013--1020."},{"key":"e_1_3_2_1_18_1","volume-title":"Bdd100k: A diverse driving video database with scalable annotation tooling,\" arXiv preprint arXiv:1805.04687","author":"Yu F.","year":"2018","unstructured":"F. Yu , W. Xian , Y. Chen , F. Liu , M. Liao , V. Madhavan , and T. Darrell , \" Bdd100k: A diverse driving video database with scalable annotation tooling,\" arXiv preprint arXiv:1805.04687 , 2018 . F. Yu, W. Xian, Y. Chen, F. Liu, M. Liao, V. Madhavan, and T. Darrell, \"Bdd100k: A diverse driving video database with scalable annotation tooling,\" arXiv preprint arXiv:1805.04687, 2018."},{"key":"e_1_3_2_1_19_1","volume-title":"Automatic differentiation in pytorch","author":"Paszke A.","year":"2017","unstructured":"A. Paszke , S. Gross , S. Chintala , G. Chanan , E. Yang , Z. DeVito , Z. Lin , A. Desmaison , L. Antiga , and A. Lerer , \" Automatic differentiation in pytorch ,\" 2017 . A. Paszke, S. Gross, S. Chintala, G. Chanan, E. Yang, Z. DeVito, Z. Lin, A. Desmaison, L. Antiga, and A. Lerer, \"Automatic differentiation in pytorch,\" 2017."},{"key":"e_1_3_2_1_20_1","volume-title":"fastai,\" https:\/\/github.com\/fastai\/fastai","author":"Howard J.","year":"2018","unstructured":"J. Howard , \" fastai,\" https:\/\/github.com\/fastai\/fastai , 2018 J. 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