{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,10,30]],"date-time":"2024-10-30T00:13:02Z","timestamp":1730247182843,"version":"3.28.0"},"reference-count":18,"publisher":"IEEE","license":[{"start":{"date-parts":[[2021,9,19]],"date-time":"2021-09-19T00:00:00Z","timestamp":1632009600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2021,9,19]],"date-time":"2021-09-19T00:00:00Z","timestamp":1632009600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2021,9,19]]},"DOI":"10.1109\/icip42928.2021.9506048","type":"proceedings-article","created":{"date-parts":[[2021,8,23]],"date-time":"2021-08-23T17:08:41Z","timestamp":1629738521000},"page":"694-698","source":"Crossref","is-referenced-by-count":1,"title":["Provable Translational Robustness For Object Detection With Convolutional Neural Networks"],"prefix":"10.1109","author":[{"given":"Axel","family":"Vierling","sequence":"first","affiliation":[{"name":"Technische Universit&#x00E4;t Kaiserslautern,Robotics Research Lab,Kaiserslautern,Germany"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Charu","family":"James","sequence":"additional","affiliation":[{"name":"Technische Universit&#x00E4;t Kaiserslautern,Robotics Research Lab,Kaiserslautern,Germany"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Karsten","family":"Berns","sequence":"additional","affiliation":[{"name":"Technische Universit&#x00E4;t Kaiserslautern,Robotics Research Lab,Kaiserslautern,Germany"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Nikoletta","family":"Katsaouni","sequence":"additional","affiliation":[{"name":"Goethe University Frankfurt am Main Institute of Cardiovascular Regeneration Frankfurt am Main,Germany"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2016.2601622"},{"article-title":"Understanding image representations by measuring their equivariance and equivalence","year":"2014","author":"lenc","key":"ref11"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2009.5459469"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2007.383157"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2016.2577031"},{"key":"ref15","article-title":"Mobilenets: Efficient convolutional neural networks for mobile vision applications","author":"howard","year":"2017","journal-title":"arXiv preprint arXiv 1704 04861"},{"key":"ref16","article-title":"Faster r-cnn: Towards real-time object detection with region proposal networks","volume":"abs 1506 1497","author":"ren","year":"2015","journal-title":"CoRR"},{"journal-title":"Euclidean voronoi diagram svg","year":"2015","key":"ref17"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-48989-2_3"},{"key":"ref4","first-page":"1985","article-title":"Position estimation of moving objects: Practical provable approximation","volume":"4","author":"danial","year":"2019","journal-title":"IEEE l of Robotics and Automation"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2012.230"},{"article-title":"Deep neural network approximation theory","year":"2019","author":"grohs","key":"ref6"},{"article-title":"Provable bounds for learning some deep representations","year":"2013","author":"arora","key":"ref5"},{"article-title":"Provable defenses against adversarial examples via the convex outer adversarial polytope","year":"2017","author":"wong","key":"ref8"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.24963\/ijcai.2018\/368"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/TIT.2017.2776228"},{"key":"ref9","first-page":"1885","article-title":"Understanding black-box predictions via influence functions","volume":"70","author":"koh","year":"2017","journal-title":"Proceedings of the 34th International Conference on Machine Learning"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.22260\/ISARC2018\/0123"}],"event":{"name":"2021 IEEE International Conference on Image Processing (ICIP)","start":{"date-parts":[[2021,9,19]]},"location":"Anchorage, AK, USA","end":{"date-parts":[[2021,9,22]]}},"container-title":["2021 IEEE International Conference on Image Processing (ICIP)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/9506008\/9506009\/09506048.pdf?arnumber=9506048","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,12,6]],"date-time":"2022-12-06T18:47:05Z","timestamp":1670352425000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9506048\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,9,19]]},"references-count":18,"URL":"https:\/\/doi.org\/10.1109\/icip42928.2021.9506048","relation":{},"subject":[],"published":{"date-parts":[[2021,9,19]]}}}