Towards Unsupervised Open World Semantic Segmentation

4 January 2022

Papers citing "Towards Unsupervised Open World Semantic Segmentation"

9 / 9 papers shown

Title
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
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
Perception Datasets for Anomaly Detection in Autonomous Driving: A Survey Daniel Bogdoll Svenja Uhlemeyer K. Kowol J. Marius Zöllner 17 19 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
A-Eye: Driving with the Eyes of AI for Corner Case Generation K. Kowol S. Bracke Hanno Gottschalk 13 9 0 22 Feb 2022
Deep High-Resolution Representation Learning for Visual Recognition Jingdong Wang Ke Sun Tianheng Cheng Borui Jiang Chaorui Deng ... Yadong Mu Mingkui Tan Xinggang Wang Wenyu Liu Bin Xiao 190 3,516 0 20 Aug 2019
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles Balaji Lakshminarayanan Alexander Pritzel Charles Blundell UQCV BDL 268 5,652 0 05 Dec 2016
Conditional Image Synthesis With Auxiliary Classifier GANs Augustus Odena C. Olah Jonathon Shlens GAN 224 3,189 0 30 Oct 2016
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 247 9,134 0 06 Jun 2015