COMPARISON OF UNCERTAINTY QUANTIFICATION METHODS FOR CNN-BASED REGRESSION

6 citations as recorded by crossref.

1. Density uncertainty quantification with NeRF-Ensembles: Impact of data and scene constraints M. Jäger et al. 10.1016/j.jag.2025.104406
2. DUDES: Deep Uncertainty Distillation using Ensembles for Semantic Segmentation S. Landgraf et al. 10.1007/s41064-024-00280-4
3. Sensitivity Analysis of RFML Applications B. Muller et al. 10.1109/ACCESS.2024.3409471
4. Deep learning-aided temporal downscaling of GRACE-derived terrestrial water storage anomalies across the Contiguous United States M. Uz et al. 10.1016/j.jhydrol.2024.132194
5. Application of Uncertainty to Out-of-Distribution Detection for Autonomous Driving Perception Safety K. Wang et al. 10.1109/TITS.2025.3557996
6. Uncertainty Quantification for Safety of the Intended Functionality of Autonomous Driving: A Comprehensive Survey K. Wang et al. 10.1109/TIM.2025.3602549