| dc.contributor.author | Knowles, Milo | |
| dc.contributor.author | Peretroukhin, Valentin | |
| dc.contributor.author | Greene, W Nicholas | |
| dc.contributor.author | Roy, Nicholas | |
| dc.date.accessioned | 2022-09-20T16:43:50Z | |
| dc.date.available | 2022-09-20T16:43:50Z | |
| dc.date.issued | 2021 | |
| dc.identifier.uri | https://hdl.handle.net/1721.1/145527 | |
| dc.language.iso | en | |
| dc.publisher | Institute of Electrical and Electronics Engineers (IEEE) | en_US |
| dc.relation.isversionof | 10.1109/ICRA48506.2021.9562012 | en_US |
| dc.rights | Creative Commons Attribution-Noncommercial-Share Alike | en_US |
| dc.rights.uri | http://creativecommons.org/licenses/by-nc-sa/4.0/ | en_US |
| dc.source | MIT web domain | en_US |
| dc.title | Toward Robust and Efficient Online Adaptation for Deep Stereo Depth Estimation | en_US |
| dc.type | Article | en_US |
| dc.identifier.citation | Knowles, Milo, Peretroukhin, Valentin, Greene, W Nicholas and Roy, Nicholas. 2021. "Toward Robust and Efficient Online Adaptation for Deep Stereo Depth Estimation." 2021 IEEE International Conference on Robotics and Automation (ICRA). | |
| dc.contributor.department | Massachusetts Institute of Technology. Department of Aeronautics and Astronautics | en_US |
| dc.relation.journal | 2021 IEEE International Conference on Robotics and Automation (ICRA) | en_US |
| dc.eprint.version | Author's final manuscript | en_US |
| dc.type.uri | http://purl.org/eprint/type/ConferencePaper | en_US |
| eprint.status | http://purl.org/eprint/status/NonPeerReviewed | en_US |
| dc.date.updated | 2022-09-20T16:37:04Z | |
| dspace.orderedauthors | Knowles, M; Peretroukhin, V; Greene, WN; Roy, N | en_US |
| dspace.date.submission | 2022-09-20T16:37:09Z | |
| mit.license | OPEN_ACCESS_POLICY | |
| mit.metadata.status | Authority Work and Publication Information Needed | en_US |
