Confidence-based Out-of-Distribution Detection: A Comparative Study and
Analysis

Confidence-based Out-of-Distribution Detection: A Comparative Study and Analysis

6 July 2021

Christoph Berger

Magdalini Paschali

Konstantinos Kamnitsas

Papers citing "Confidence-based Out-of-Distribution Detection: A Comparative Study and Analysis"

16 / 16 papers shown

Title
Test-Time Model Adaptation with Only Forward Passes Shuaicheng Niu Chunyan Miao Guohao Chen Pengcheng Wu Peilin Zhao TTA 48 19 0 02 Apr 2024
Dimensionality Reduction for Improving Out-of-Distribution Detection in Medical Image Segmentation M. Woodland Nihil Patel Mais Al Taie J. Yung Tucker Netherton Ankit B. Patel Kristy K. Brock OOD 30 6 0 07 Aug 2023
Multi-layer Aggregation as a key to feature-based OOD detection Benjamin Lambert Florence Forbes Senan Doyle M. Dojat 30 5 0 28 Jul 2023
Unsupervised out-of-distribution detection for safer robotically guided retinal microsurgery Alain Jungo Lars Doorenbos Tommaso Da Col Maarten J. Beelen M. Zinkernagel Pablo Márquez-Neila Raphael Sznitman OODD 42 3 0 11 Apr 2023
Improving Uncertainty-based Out-of-Distribution Detection for Medical Image Segmentation Benjamin Lambert Florence Forbes Senan Doyle A. Tucholka M. Dojat UQCV OOD 61 4 0 10 Nov 2022
Uncertainty estimations methods for a deep learning model to aid in clinical decision-making -- a clinician's perspective M. Dohopolski Kai Wang Biling Wang T. Bai D. Nguyen David Sher Steve B. Jiang Jing Wang OOD 13 5 0 02 Oct 2022
nnOOD: A Framework for Benchmarking Self-supervised Anomaly Localisation Methods Matthew Baugh Jeremy Tan Athanasios Vlontzos Johanna P. Müller Bernhard Kainz OOD 24 2 0 02 Sep 2022
Towards out of distribution generalization for problems in mechanics Lingxiao Yuan Harold S. Park Emma Lejeune OOD AI4CE 36 17 0 29 Jun 2022
Which models are innately best at uncertainty estimation? Ido Galil Mohammed Dabbah Ran El-Yaniv UQCV 34 5 0 05 Jun 2022
Exploring How Anomalous Model Input and Output Alerts Affect Decision-Making in Healthcare Marissa Radensky Dustin Burson Rajya Bhaiya Daniel S. Weld 24 0 0 27 Apr 2022
Recommendations on test datasets for evaluating AI solutions in pathology A. Homeyer Christian Geißler L. O. Schwen Falk Zakrzewski Theodore Evans ... Tobias Lang P. Boor Heimo Muller P. Hufnagl N. Zerbe 49 42 0 21 Apr 2022
Efficient Test-Time Model Adaptation without Forgetting Shuaicheng Niu Jiaxiang Wu Yifan Zhang Yaofo Chen S. Zheng P. Zhao Mingkui Tan OOD VLM TTA 39 311 0 06 Apr 2022
Surgical Workflow Recognition: from Analysis of Challenges to Architectural Study Tobias Czempiel Aidean Sharghi Magdalini Paschali Nassir Navab Omid Mohareri 19 8 0 17 Mar 2022
Test for non-negligible adverse shifts Vathy M. Kamulete 17 3 0 07 Jul 2021
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles Balaji Lakshminarayanan Alexander Pritzel Charles Blundell UQCV BDL 276 5,675 0 05 Dec 2016
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 285 9,145 0 06 Jun 2015