Rebecca S. Stone

Publication Activity (10 Years)

Years Active: 2022-2023
Publications (10 Years): 5

Top Topics

Minimum Description Length

Dempster Shafer

Segmentation Errors

Posterior Marginals

Top Venues

CLIP/FAIMI/EPIMI@MICCAI

Publications

Rebecca S. Stone, Nishant Ravikumar, Andrew J. Bulpitt, David C. Hogg
Implicit Visual Bias Mitigation by Posterior Estimate Sharpening of a Bayesian Neural Network. CoRR (2023)
Rebecca S. Stone, Pedro Esteban Chavarrias-Solano, Andrew J. Bulpitt, David C. Hogg, Sharib Ali
Bayesian Uncertainty-Weighted Loss for Improved Generalisability on Polyp Segmentation Task. CLIP/FAIMI/EPIMI@MICCAI (2023)
Rebecca S. Stone, Pedro Esteban Chavarrias-Solano, Andrew J. Bulpitt, David C. Hogg, Sharib Ali
Bayesian uncertainty-weighted loss for improved generalisability on polyp segmentation task. CoRR (2023)
Rebecca S. Stone, Nishant Ravikumar, Andrew J. Bulpitt, David C. Hogg
Epistemic Uncertainty-Weighted Loss for Visual Bias Mitigation. CVPR Workshops (2022)
Rebecca S. Stone, Nishant Ravikumar, Andrew J. Bulpitt, David C. Hogg
Epistemic Uncertainty-Weighted Loss for Visual Bias Mitigation. CoRR (2022)