| dc.contributor.author | Kollias, D | en_US |
| dc.contributor.author | European Conference on Computer Vision (ECCV) | en_US |
| dc.date.accessioned | 2022-09-14T08:25:22Z | |
| dc.date.available | 2022-08-15 | en_US |
| dc.identifier.uri | https://qmro.qmul.ac.uk/xmlui/handle/123456789/80480 | |
| dc.rights | This is a pre-copyedited, author-produced version accepted for publication in European Conference on Computer Vision (ECCV) following peer review. The version of record is available https://link.springer.com/chapter/10.1007/978-3-031-25075-0_12 | |
| dc.title | Abaw: Learning from synthetic data & multi-task learning challenges | en_US |
| dc.type | Conference Proceeding | |
| dc.rights.holder | © 2023 The Author(s), under exclusive license to Springer Nature Switzerland AG | |
| pubs.notes | Not known | en_US |
| pubs.publication-status | Accepted | en_US |
| dcterms.dateAccepted | 2022-08-15 | en_US |
| rioxxterms.funder | Default funder | en_US |
| rioxxterms.identifier.project | Default project | en_US |
