MSEG-VCUQ: Multimodal SEGmentation with Enhanced Vision Foundation Models, Convolutional Neural Networks, and Uncertainty Quantification for High-Speed Video Phase Detection Data

Documenti analoghi

• VideoSAM: A Large Vision Foundation Model for High-Speed Video Segmentation
  di: Maduabuchi, Chika, et al.
  Pubblicazione: (2024)
• Interlaced dynamic XCT reconstruction with spatio-temporal implicit neural representations
  di: Boulanger, Mathias, et al.
  Pubblicazione: (2025)
• Neural variational Data Assimilation with Uncertainty Quantification using SPDE priors
  di: Beauchamp, Maxime, et al.
  Pubblicazione: (2024)
• AutoEncoder Convolutional Neural Network for Pneumonia Detection
  di: Nosa-Omoruyi, Michael, et al.
  Pubblicazione: (2024)
• Neural Orientation Distribution Fields for Estimation and Uncertainty Quantification in Diffusion MRI
  di: Consagra, William, et al.
  Pubblicazione: (2023)