Abstract
Original language | English |
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Title of host publication | Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) |
Editors | L. O'Conner |
Pages | 4399 - 4409 |
ISBN (Electronic) | 978-1-6654-0191-3 |
Publication status | Published - 2021 |
Event | 2021 IEEE/CVF International Conference on Computer Vision Workshops (ICCVW) - Virtual at Montreal, Canada Duration: 11 Oct 2021 → 17 Oct 2021 |
Conference
Conference | 2021 IEEE/CVF International Conference on Computer Vision Workshops (ICCVW) |
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Country/Territory | Canada |
City | Virtual at Montreal |
Period | 11/10/21 → 17/10/21 |
Fingerprint
Dive into the research topics of 'Zero-Shot Day-Night Domain Adaptation with a Physics Prior'. Together they form a unique fingerprint.Datasets
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Code underlying the publication: Zero-Shot Day-Night Domain Adaptation with a Physics Prior
Lengyel, A. (Creator), van Gemert, J. C. (Creator), Garg, S. (Creator) & Milford, M. J. (Creator), TU Delft - 4TU.ResearchData, 29 Nov 2023
DOI: 10.4121/47C143D4-0692-42B8-BCEA-0CA2C1EE5056
Dataset/Software: Software
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CODaN: Common Objects Day and Night, an image classification dataset.
Lengyel, A. (Creator), van Gemert, J. C. (Creator), Garg, S. (Creator) & Milford, M. J. (Creator), TU Delft - 4TU.ResearchData, 29 Nov 2023
DOI: 10.4121/05246B12-F291-460C-BE8A-F14A89D249E5, https://research.tudelft.nl/en/publications/zero-shot-day-night-domain-adaptation-with-a-physics-prior
Dataset/Software: Software
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Shapenet Illuminants - dataset from "Zero-Shot Day-Night Domain Adaptation with a Physics Prior"
Lengyel, A. (Creator), TU Delft - 4TU.ResearchData, 12 Aug 2021
DOI: 10.4121/15141273
Dataset/Software: Dataset