Entropy Maximization and Meta Classification for Out-Of-Distribution Detection in Semantic Segmentation

9 December 2020

Robin Shing Moon Chan

Papers citing "Entropy Maximization and Meta Classification for Out-Of-Distribution Detection in Semantic Segmentation"

21 / 21 papers shown

Title
Panoramic Out-of-Distribution Segmentation Mengfei Duan Kailun Yang Y. Zhang Yihong Cao Fei Teng Kai Luo Jiaming Zhang Zhiyong Li Shutao Li 52 0 0 06 May 2025
Open-set Anomaly Segmentation in Complex Scenarios Song Xia Yi Yu Henghui Ding Wenhan Yang S. Liu Alex C. Kot Xudong Jiang DiffM 50 0 0 28 Apr 2025
Out-of-Distribution Segmentation in Autonomous Driving: Problems and State of the Art Youssef Shoeb Azarm Nowzad Hanno Gottschalk UQCV 78 2 0 04 Mar 2025
Self-Supervised Likelihood Estimation with Energy Guidance for Anomaly Segmentation in Urban Scenes Yuanpeng Tu Yuxi Li Boshen Zhang Liang Liu J. Zhang Y. Wang C. Zhao 56 3 0 03 Jan 2025
Multi-Robot Motion Planning with Diffusion Models Yorai Shaoul Itamar Mishani Shivam Vats Jiaoyang Li Maxim Likhachev DiffM 38 5 0 04 Oct 2024
Uncertainty and Prediction Quality Estimation for Semantic Segmentation via Graph Neural Networks Edgar Heinert Stephan Tilgner Timo Palm Matthias Rottmann UQCV 32 0 0 17 Sep 2024
PixOOD: Pixel-Level Out-of-Distribution Detection Tomávs Vojívr Jan Sochman Jivrí Matas OODD 38 9 0 30 May 2024
AnoVox: A Benchmark for Multimodal Anomaly Detection in Autonomous Driving Daniel Bogdoll Iramm Hamdard Lukas Namgyu Rößler Felix Geisler Muhammed Bayram ... Miguel de Campos Anushervon Tabarov Yitian Yang Hanno Gottschalk J. Marius Zöllner 34 5 0 13 May 2024
Conformal Semantic Image Segmentation: Post-hoc Quantification of Predictive Uncertainty Luca Mossina Joseba Dalmau Léo Andéol UQCV 33 11 0 16 Apr 2024
Out-of-Distribution Detection & Applications With Ablated Learned Temperature Energy Will LeVine Benjamin Pikus Jacob Phillips Berk Norman Fernando Amat Gil Sean Hendryx OODD 51 1 0 22 Jan 2024
GenKL: An Iterative Framework for Resolving Label Ambiguity and Label Non-conformity in Web Images Via a New Generalized KL Divergence Xia Huang Kai Fong Ernest Chong 42 2 0 19 Jul 2023
Maskomaly:Zero-Shot Mask Anomaly Segmentation J. Ackermann Christos Sakaridis F. I. F. Richard Yu ISeg 18 23 0 26 May 2023
Cluster-aware Contrastive Learning for Unsupervised Out-of-distribution Detection Menglong Chen Xingtai Gui Shicai Fan OODD 11 1 0 06 Feb 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 27 19 0 05 Oct 2022
GMMSeg: Gaussian Mixture based Generative Semantic Segmentation Models Chen Liang Wenguan Wang Jiaxu Miao Yi Yang VLM 28 117 0 05 Oct 2022
Dual Decision Improves Open-Set Panoptic Segmentation Hainan Xu Hao Chen Lingqiao Liu Yufei Yin VLM 19 6 0 06 Jul 2022
Uncertainty Quantification and Resource-Demanding Computer Vision Applications of Deep Learning Julian Burghoff Robin Shing Moon Chan Hanno Gottschalk Annika Muetze Tobias Riedlinger Matthias Rottmann Marius Schubert BDL 18 0 0 30 May 2022
A-Eye: Driving with the Eyes of AI for Corner Case Generation K. Kowol S. Bracke Hanno Gottschalk 13 9 0 22 Feb 2022
An Application-Driven Conceptualization of Corner Cases for Perception in Highly Automated Driving Florian Heidecker Jasmin Breitenstein Kevin Rösch Jonas Löhdefink Maarten Bieshaar Christoph Stiller Tim Fingscheidt Bernhard Sick 12 40 0 05 Mar 2021
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles Balaji Lakshminarayanan Alexander Pritzel Charles Blundell UQCV BDL 268 5,660 0 05 Dec 2016
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 252 9,134 0 06 Jun 2015