Update w-uncertainty-estimation-for-cv.md

DmitryRyumin · Jan 18, 2024 · 9641bf2 · 9641bf2
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 | Adversarial Attacks Against Uncertainty Quantification | :heavy_minus_sign: | [![thecvf](https://img.shields.io/badge/pdf-thecvf-7395C5.svg)](https://openaccess.thecvf.com/content/ICCV2023W/UnCV/papers/Ledda_Adversarial_Attacks_Against_Uncertainty_Quantification_ICCVW_2023_paper.pdf) <br /> [![arXiv](https://img.shields.io/badge/arXiv-2309.10586-b31b1b.svg)](https://arxiv.org/abs/2309.10586) | :heavy_minus_sign: |
 | Biased Class disagreement: detection of out of distribution instances by using differently biased semantic segmentation models |:heavy_minus_sign: | [![thecvf](https://img.shields.io/badge/pdf-thecvf-7395C5.svg)](https://openaccess.thecvf.com/content/ICCV2023W/UnCV/papers/https://openaccess.thecvf.com/content/ICCV2023W/UnCV/papers/Alcover-Couso_Biased_Class_disagreement_detection_of_out_of_distribution_instances_by_ICCVW_2023_paper.pdf) | :heavy_minus_sign: |
 | Calibrated Out-of-Distribution Detection with a Generic Representation | [![GitHub](https://img.shields.io/github/stars/vojirt/GROOD?style=flat)](https://github.com/vojirt/GROOD) | [![thecvf](https://img.shields.io/badge/pdf-thecvf-7395C5.svg)](https://openaccess.thecvf.com/content/ICCV2023W/SG2RL/papers/https://openaccess.thecvf.com/content/ICCV2023W/UnCV/papers/Vojir_Calibrated_Out-of-Distribution_Detection_with_a_Generic_Representation_ICCVW_2023_paper.pdf) <br /> [![arXiv](https://img.shields.io/badge/arXiv-2303.13148-b31b1b.svg)](https://arxiv.org/abs/2303.13148) | :heavy_minus_sign: |
-| DELO: Deep Evidential LiDAR Odometry using Partial Optimal Transport | | | |
-| Distance matters for improving performance estimation under covariate shift | | | |
+| DELO: Deep Evidential LiDAR Odometry using Partial Optimal Transport | :heavy_minus_sign: | [![thecvf](https://img.shields.io/badge/pdf-thecvf-7395C5.svg)](https://openaccess.thecvf.com/content/ICCV2023W/UnCV/papers/Ali_DELO_Deep_Evidential_LiDAR_Odometry_Using_Partial_Optimal_Transport_ICCVW_2023_paper.pdf) <br /> [![arXiv](https://img.shields.io/badge/arXiv-2308.07153-b31b1b.svg)](https://arxiv.org/abs/2308.07153) | :heavy_minus_sign: |
+| Distance matters for improving performance estimation under covariate shift | [![GitHub](https://img.shields.io/github/stars/melanibe/distance_matters_performance_estimation?style=flat)](https://github.com/melanibe/distance_matters_performance_estimation)  | [![thecvf](https://img.shields.io/badge/pdf-thecvf-7395C5.svg)](https://openaccess.thecvf.com/content/ICCV2023W/UnCV/papers/Roschewitz_Distance_Matters_For_Improving_Performance_Estimation_Under_Covariate_Shift_ICCVW_2023_paper.pdf) <br /> [![arXiv](https://img.shields.io/badge/arXiv-2308.07223-b31b1b.svg)](https://arxiv.org/abs/2308.07223) | :heavy_minus_sign: |
 | Dual-level Interaction for Domain Adaptive Semantic Segmentation | | | |
 | Exploring Inlier and Outlier Specification for Improved Medical OOD Detection | | | |
 | Far Away in the Deep Space: Dense Nearest-Neighbor-Based Out-of-Distribution Detection | | | |