Uncertainty Quantification Metrics for Deep Regression

no code implementations • 7 May 2024 • Ziliang Xiong, Simon Kristoffersson Lind, Per-Erik Forssén, Volker Krüger

Specifically, we focus on regression tasks, and investigate Area Under Sparsification Error (AUSE), Calibration Error, Spearman's Rank Correlation, and Negative Log-Likelihood (NLL).

regression Uncertainty Quantification

Detail-Enhancing Framework for Reference-Based Image Super-Resolution

no code implementations • 1 May 2024 • Zihan Wang, Ziliang Xiong, Hongying Tang, Xiaobing Yuan

Recent years have witnessed the prosperity of reference-based image super-resolution (Ref-SR).

Image Super-Resolution Reference-based Super-Resolution

Hinge-Wasserstein: Estimating Multimodal Aleatoric Uncertainty in Regression Tasks

no code implementations • 1 Jun 2023 • Ziliang Xiong, Arvi Jonnarth, Abdelrahman Eldesokey, Joakim Johnander, Bastian Wandt, Per-Erik Forssen

Computer vision systems that are deployed in safety-critical applications need to quantify their output uncertainty.

Density Estimation Disparity Estimation +4