{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,16]],"date-time":"2026-06-16T14:51:12Z","timestamp":1781621472356,"version":"3.54.5"},"reference-count":47,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"4","license":[{"start":{"date-parts":[[2021,10,1]],"date-time":"2021-10-01T00:00:00Z","timestamp":1633046400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2021,10,1]],"date-time":"2021-10-01T00:00:00Z","timestamp":1633046400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2021,10,1]],"date-time":"2021-10-01T00:00:00Z","timestamp":1633046400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"name":"ERC","award":["637076"],"award-info":[{"award-number":["637076"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Robot. Autom. Lett."],"published-print":{"date-parts":[[2021,10]]},"DOI":"10.1109\/lra.2021.3093870","type":"journal-article","created":{"date-parts":[[2021,6,30]],"date-time":"2021-06-30T19:34:31Z","timestamp":1625081671000},"page":"6616-6623","source":"Crossref","is-referenced-by-count":18,"title":["DA4Event: Towards Bridging the Sim-to-Real Gap for Event Cameras Using Domain Adaptation"],"prefix":"10.1109","volume":"6","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-7238-1867","authenticated-orcid":false,"given":"Mirco","family":"Planamente","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4984-7432","authenticated-orcid":false,"given":"Chiara","family":"Plizzari","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9217-3552","authenticated-orcid":false,"given":"Marco","family":"Cannici","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3306-1323","authenticated-orcid":false,"given":"Marco","family":"Ciccone","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Francesco","family":"Strada","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8894-5089","authenticated-orcid":false,"given":"Andrea","family":"Bottino","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8306-6739","authenticated-orcid":false,"given":"Matteo","family":"Matteucci","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7169-0158","authenticated-orcid":false,"given":"Barbara","family":"Caputo","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2019.2963386"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00398"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00186"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2016.2574707"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/CVPRW.2019.00209"},{"key":"ref30","article-title":"Event-based feature detection, recognition and classification","author":"cohen","year":"2015"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1109\/LRA.2020.3002480"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-58565-5_9"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1109\/ICPR48806.2021.9412991"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00108"},{"key":"ref10","first-page":"529","article-title":"Semi-supervised learning by entropy minimization","volume":"17","author":"grandvalet","year":"2005","journal-title":"Proc Adv Neural Inform Process Syst"},{"key":"ref40","first-page":"0","article-title":"N-rod: A neuromorphic dataset for synthetic-to-real domain adaptation","author":"cannici","year":"2021","journal-title":"Proc IEEE\/CVF Conf Comput Vis Pattern Recognit Workshops"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.3389\/fnins.2015.00437"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/ICRA.2011.5980382"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00392"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.01004"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v34i04.6054"},{"key":"ref16","doi-asserted-by":"crossref","first-page":"156\ufffd694","DOI":"10.1109\/ACCESS.2019.2949697","article-title":"Self-supervised domain adaptation for computer vision tasks","volume":"7","author":"jiaolong","year":"2019","journal-title":"IEEE Access"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00233"},{"key":"ref18","first-page":"343","article-title":"Domain separation networks","volume":"29","author":"bousmalis","year":"2016","journal-title":"Proc Adv Neural Informat Process Syst"},{"key":"ref19","year":"0"},{"key":"ref28","first-page":"21","article-title":"Unsupervised domain adaptation learning algorithm for RGBD stairway recognition","volume":"6","author":"wang","year":"2019","journal-title":"Instrumentation"},{"key":"ref4","first-page":"3586","article-title":"Video to events: Recycling video datasets for event cameras","author":"gehrig","year":"2020","journal-title":"Proc IEEE Conf Comput Vis and Pattern Recog"},{"key":"ref27","first-page":"1989","article-title":"Cycada: Cycle-consistent adversarial domain adaptation","author":"hoffman","year":"2018","journal-title":"Proc Int Conf Mach Learn"},{"key":"ref3","first-page":"969","article-title":"Esim: An open event camera simulator","author":"rebecq","year":"2018","journal-title":"Proc Conf Robot Learn PMLR"},{"key":"ref6","first-page":"1180","volume":"37","author":"ganin","year":"0","journal-title":"Ser in Machine Learning"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1016\/j.sigpro.2016.07.018"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-58583-9_32"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/LRA.2020.3007092"},{"key":"ref7","first-page":"97","article-title":"Learning transferable features with deep adaptation networks","author":"long","year":"2015","journal-title":"Proc Int Conf Mach Learn"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00573"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00151"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00568"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.74"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.352"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-46466-4_5"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/LRA.2020.3009075"},{"key":"ref47","article-title":"ImageNet-trained CNNs are biased towards texture; increasing shape bias improves accuracy and robustness","author":"geirhos","year":"2019","journal-title":"Proc Int Conf Learn Representations"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-46475-6_7"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2006.79"},{"key":"ref24","article-title":"Fcns in the wild: Pixel-level adversarial and constraint-based adaptation","author":"hoffman","year":"2016"},{"key":"ref41","volume":"27","author":"yosinski","year":"0","journal-title":"Proc Adv Neural Informat Process Syst"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.350"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00262"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1162\/neco.1997.9.8.1735"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00780"}],"container-title":["IEEE Robotics and Automation Letters"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/7083369\/9475905\/09468960.pdf?arnumber=9468960","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,5,10]],"date-time":"2022-05-10T14:54:11Z","timestamp":1652194451000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9468960\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,10]]},"references-count":47,"journal-issue":{"issue":"4"},"URL":"https:\/\/doi.org\/10.1109\/lra.2021.3093870","relation":{},"ISSN":["2377-3766","2377-3774"],"issn-type":[{"value":"2377-3766","type":"electronic"},{"value":"2377-3774","type":"electronic"}],"subject":[],"published":{"date-parts":[[2021,10]]}}}