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PIT: Position-Invariant Transform for Cross-FoV Domain Adaptation

Gu, Q, Zhou, Q, Xu, M, Feng, Z, Cheng, G, Lu, Xuequan, Shi, J and Ma, L 2021, PIT: Position-Invariant Transform for Cross-FoV Domain Adaptation, in ICCV 2021 : Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, IEEE, Piscataway, N.J., pp. 8741-8750, doi: 10.1109/ICCV48922.2021.00864.

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Title PIT: Position-Invariant Transform for Cross-FoV Domain Adaptation
Author(s) Gu, Q
Zhou, Q
Xu, M
Feng, Z
Cheng, G
Lu, XuequanORCID iD for Lu, Xuequan orcid.org/0000-0003-0959-408X
Shi, J
Ma, L
Conference name IEEE/CVF Computer Vision. Conference (2021 : Montral, Canada)
Conference location Montreal, Canada
Conference dates 2021/10/10 - 2021/10/17
Title of proceedings ICCV 2021 : Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision
Publication date 2021
Start page 8741
End page 8750
Total pages 10
Publisher IEEE
Place of publication Piscataway, N.J.
Keyword(s) CORE2020 A*
ISBN 9781665428125
ISSN 1550-5499
Language eng
DOI 10.1109/ICCV48922.2021.00864
HERDC Research category E1 Full written paper - refereed
Persistent URL http://hdl.handle.net/10536/DRO/DU:30166839

Document type: Conference Paper
Collections: Faculty of Science, Engineering and Built Environment
School of Information Technology
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Created: Thu, 28 Apr 2022, 10:46:20 EST

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