Pixel-wise Gradient Uncertainty for Convolutional Neural Networks applied to Out-of-Distribution Segmentation

13 March 2023

Papers citing "Pixel-wise Gradient Uncertainty for Convolutional Neural Networks applied to Out-of-Distribution Segmentation"

14 / 14 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
Revisiting Gradient-based Uncertainty for Monocular Depth Estimation Julia Hornauer Amir El-Ghoussani Vasileios Belagiannis UQCV 50 0 0 09 Feb 2025
Multi-Scale Foreground-Background Confidence for Out-of-Distribution Segmentation Samuel Marschall Kira Maag 73 1 0 22 Dec 2024
Open-World Panoptic Segmentation Matteo Sodano Federico Magistri Jens Behley Cyrill Stachniss VLM 63 0 0 17 Dec 2024
Open-World Semantic Segmentation Including Class Similarity Matteo Sodano Federico Magistri Lucas Nunes Jens Behley C. Stachniss VLM 34 8 0 12 Mar 2024
Uncertainty estimates for semantic segmentation: providing enhanced reliability for automated motor claims handling Jan Küchler Daniel Kröll S. Schoenen Andreas Witte UQCV 32 1 0 17 Jan 2024
Uncertainty-weighted Loss Functions for Improved Adversarial Attacks on Semantic Segmentation Kira Maag Asja Fischer AAML SSeg 26 3 0 26 Oct 2023
Concurrent Misclassification and Out-of-Distribution Detection for Semantic Segmentation via Energy-Based Normalizing Flow Denis A. Gudovskiy Tomoyuki Okuno Yohei Nakata 52 6 0 16 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 27 19 0 05 Oct 2022
On the Importance of Gradients for Detecting Distributional Shifts in the Wild Rui Huang Andrew Geng Yixuan Li 173 324 0 01 Oct 2021
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 3,480 0 20 Aug 2019
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles Balaji Lakshminarayanan Alexander Pritzel Charles Blundell UQCV BDL 268 5,635 0 05 Dec 2016
Wider or Deeper: Revisiting the ResNet Model for Visual Recognition Zifeng Wu Chunhua Shen A. Hengel SSeg 243 1,476 0 30 Nov 2016
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 247 9,042 0 06 Jun 2015