Detection and Retrieval of Out-of-Distribution Objects in Semantic Segmentation

14 May 2020

Papers citing "Detection and Retrieval of Out-of-Distribution Objects in Semantic Segmentation"

10 / 10 papers shown

Title
Uncertainty and Prediction Quality Estimation for Semantic Segmentation via Graph Neural Networks Edgar Heinert Stephan Tilgner Timo Palm Matthias Rottmann UQCV 43 0 0 17 Sep 2024
Latency-aware Road Anomaly Segmentation in Videos: A Photorealistic Dataset and New Metrics Beiwen Tian Huan-ang Gao Leiyao Cui Yupeng Zheng Lan Luo Baofeng Wang Rong Zhi Guyue Zhou Hao Zhao 26 4 0 10 Jan 2024
Maskomaly:Zero-Shot Mask Anomaly Segmentation J. Ackermann Christos Sakaridis F. I. F. Richard Yu ISeg 33 23 0 26 May 2023
Two Video Data Sets for Tracking and Retrieval of Out of Distribution Objects Kira Maag Robin Shing Moon Chan Svenja Uhlemeyer K. Kowol Hanno Gottschalk 32 19 0 05 Oct 2022
Triggering Failures: Out-Of-Distribution detection by learning from local adversarial attacks in Semantic Segmentation Victor Besnier Andrei Bursuc David Picard Alexandre Briot UQCV 24 48 0 03 Aug 2021
SegmentMeIfYouCan: A Benchmark for Anomaly Segmentation Robin Shing Moon Chan Krzysztof Lis Svenja Uhlemeyer Hermann Blum S. Honari Roland Siegwart Pascal Fua Mathieu Salzmann Matthias Rottmann UQCV 24 136 0 30 Apr 2021
Entropy Maximization and Meta Classification for Out-Of-Distribution Detection in Semantic Segmentation Robin Shing Moon Chan Matthias Rottmann Hanno Gottschalk OODD 37 149 0 09 Dec 2020
Rescaling Egocentric Vision Dima Damen Hazel Doughty G. Farinella Antonino Furnari Evangelos Kazakos ... Davide Moltisanti Jonathan Munro Toby Perrett Will Price Michael Wray EgoV 19 436 0 23 Jun 2020
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles Balaji Lakshminarayanan Alexander Pritzel Charles Blundell UQCV BDL 276 5,660 0 05 Dec 2016
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 285 9,138 0 06 Jun 2015