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Yingxu Qiao

Datos Biográficos

ID10054899
NOMBREYingxu Qiao
NOMBRESYingxu
APELLIDOQiao
FIRMAQIAO Y
AFILIACIONESHenan Polytechnic University
ORCID0000-0001-6227-614X
VERIFICADOSí
TOTAL DE OBRAS1
TOTAL DE CITAS0
OBRAS COMO AUTOR1
OBRAS COMO EDITOR0
PRIMER AÑO DE PUBLICACIÓN2024
AÑO MÁS RECIENTE DE PUBLICACIÓN2024
ÍNDICE H0
  • Robust Synthetic-to-Real Ensemble Dehazing Algorithm With the Intermediate Domain

    Open Access•Yingxu Qiao, Xing Wang et al.•ARTICLE•IEEE Transactions on Computational…•2024

    Learning-based dehazing methods using synthetic datasets cannot generalize well on real-world hazy images due to the large domain discrepancy. To tackle this issue, we propose a robust synthetic-to-real dehazing framework with the construction of an intermediate domain and ensemble learning strategy. First, by mapping all examples to the intermediate domain, the bidirectional match strategy with adversarial training and the constraint of intermed…

Sin obras prominentes en esta página.

  • Robust Synthetic-to-Real Ensemble Dehazing Algorithm With the Intermediate Domain

    Open Access•Yingxu Qiao, Xing Wang et al.•ARTICLE•IEEE Transactions on Computational…•2024

    Learning-based dehazing methods using synthetic datasets cannot generalize well on real-world hazy images due to the large domain discrepancy. To tackle this issue, we propose a robust synthetic-to-real dehazing framework with the construction of an intermediate domain and ensemble learning strategy. First, by mapping all examples to the intermediate domain, the bidirectional match strategy with adversarial training and the constraint of intermed…

Advanced Image Processing Techniques (1 obra) · Algorithm (1 obra) · Artificial Intelligence (1 obra) · Computer Science (1 obra) · Computer vision (1 obra) · Domain adaptation (1 obra) · Fidelity (1 obra) · Generalization (1 obra) · Image Enhancement Techniques (1 obra) · Mathematics (1 obra)

Ethnos_APP • Proyecto Open Source • Licencia MIT • Frontend v2.0.0 • Privacidad y Cookies • Documentación de la API: api.ethnos.app/docs • Código de la API: GitHub • DOI: 10.5281/zenodo.17049435 • Código del Frontend: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae