Prior2Former -- Evidential Modeling of Mask Transformers for Assumption-Free Open-World Panoptic Segmentation

7 April 2025

Papers citing "Prior2Former -- Evidential Modeling of Mask Transformers for Assumption-Free Open-World Panoptic Segmentation"

38 / 38 papers shown

Title
Joint Out-of-Distribution Filtering and Data Discovery Active Learning Sebastian Schmidt Leonard Schenk Leo Schwinn Stephan Günnemann 161 2 0 04 Mar 2025
A Unified Approach Towards Active Learning and Out-of-Distribution Detection Sebastian Schmidt Leonard Schenk Leo Schwinn Stephan Günnemann 106 4 0 18 May 2024
Stream-based Active Learning by Exploiting Temporal Properties in Perception with Temporal Predicted Loss Sebastian Schmidt Stephan Günnemann 52 7 0 11 Sep 2023
UGainS: Uncertainty Guided Anomaly Instance Segmentation Alexey Nekrasov Alexander Hermans L. Kuhnert Bastian Leibe 68 11 0 03 Aug 2023
Unmasking Anomalies in Road-Scene Segmentation Shyam Nandan Rai Fabio Cermelli Dario Fontanel Carlo Masone Barbara Caputo ISeg 50 41 0 25 Jul 2023
Maskomaly:Zero-Shot Mask Anomaly Segmentation J. Ackermann Daniel Gehrig Feng Yu ISeg 85 25 0 26 May 2023
On Advantages of Mask-level Recognition for Outlier-aware Segmentation Matej Grcić Josip vSarić Sinivsa vSegvić UQCV 142 34 0 09 Jan 2023
Segmenting Known Objects and Unseen Unknowns without Prior Knowledge Stefano Gasperini Alvaro Marcos-Ramiro Michael Schmidt Nassir Navab Benjamin Busam F. Tombari 72 8 0 12 Sep 2022
Masked-attention Mask Transformer for Universal Image Segmentation Bowen Cheng Ishan Misra Alex Schwing Alexander Kirillov Rohit Girdhar ISeg 253 2,374 0 02 Dec 2021
Graph Posterior Network: Bayesian Predictive Uncertainty for Node Classification Maximilian Stadler Bertrand Charpentier Simon Geisler Daniel Zügner Stephan Günnemann UQCV BDL 103 87 0 26 Oct 2021
CertainNet: Sampling-free Uncertainty Estimation for Object Detection Stefano Gasperini Johannes Haug M. N. Mahani Alvaro Marcos-Ramiro Nassir Navab Benjamin Busam F. Tombari UQCV 35 24 0 04 Oct 2021
Standardized Max Logits: A Simple yet Effective Approach for Identifying Unexpected Road Obstacles in Urban-Scene Segmentation Sanghun Jung Jungsoo Lee Daehoon Gwak Sungha Choi Jaegul Choo 121 96 0 23 Jul 2021
Per-Pixel Classification is Not All You Need for Semantic Segmentation Bowen Cheng Alex Schwing Alexander Kirillov VLM ViT 210 1,548 0 13 Jul 2021
A Survey of Uncertainty in Deep Neural Networks J. Gawlikowski Cedrique Rovile Njieutcheu Tassi Mohsin Ali Jongseo Lee Matthias Humt ... R. Roscher Muhammad Shahzad Wen Yang R. Bamler Xiaoxiang Zhu BDL UQCV OOD 229 1,155 0 07 Jul 2021
SegFormer: Simple and Efficient Design for Semantic Segmentation with Transformers Enze Xie Wenhai Wang Zhiding Yu Anima Anandkumar J. Álvarez Ping Luo ViT 312 5,051 0 31 May 2021
Exemplar-Based Open-Set Panoptic Segmentation Network Jaedong Hwang Seoung Wug Oh Joon-Young Lee Bohyung Han VLM 125 51 0 18 May 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 79 136 0 30 Apr 2021
Learning Transferable Visual Models From Natural Language Supervision Alec Radford Jong Wook Kim Chris Hallacy Aditya A. Ramesh Gabriel Goh ... Amanda Askell Pamela Mishkin Jack Clark Gretchen Krueger Ilya Sutskever CLIP VLM 967 29,731 0 26 Feb 2021
Deep Deterministic Uncertainty: A Simple Baseline Jishnu Mukhoti Andreas Kirsch Joost R. van Amersfoort Philip Torr Y. Gal UD UQCV PER BDL 96 155 0 23 Feb 2021
Entropy Maximization and Meta Classification for Out-Of-Distribution Detection in Semantic Segmentation Robin Shing Moon Chan Matthias Rottmann Hanno Gottschalk OODD 115 153 0 09 Dec 2020
Energy-based Out-of-distribution Detection Weitang Liu Xiaoyun Wang John Douglas Owens Yixuan Li OODD 271 1,366 0 08 Oct 2020
Simple and Principled Uncertainty Estimation with Deterministic Deep Learning via Distance Awareness Jeremiah Zhe Liu Zi Lin Shreyas Padhy Dustin Tran Tania Bedrax-Weiss Balaji Lakshminarayanan UQCV BDL 179 451 0 17 Jun 2020
Posterior Network: Uncertainty Estimation without OOD Samples via Density-Based Pseudo-Counts Bertrand Charpentier Daniel Zügner Stephan Günnemann UQCV UD EDL BDL 77 185 0 16 Jun 2020
Scaling Out-of-Distribution Detection for Real-World Settings Dan Hendrycks Steven Basart Mantas Mazeika Andy Zou Joe Kwon Mohammadreza Mostajabi Jacob Steinhardt Basel Alomair OODD 180 481 0 25 Nov 2019
Panoptic-DeepLab Bowen Cheng Maxwell D. Collins Yukun Zhu Ting Liu Thomas S. Huang Hartwig Adam Liang-Chieh Chen 74 613 0 10 Oct 2019
The Fishyscapes Benchmark: Measuring Blind Spots in Semantic Segmentation Hermann Blum Paul-Edouard Sarlin Juan I. Nieto Roland Siegwart Cesar Cadena UQCV 58 159 0 05 Apr 2019
Why ReLU networks yield high-confidence predictions far away from the training data and how to mitigate the problem Matthias Hein Maksym Andriushchenko Julian Bitterwolf OODD 170 558 0 13 Dec 2018
Evidential Deep Learning to Quantify Classification Uncertainty Murat Sensoy Lance M. Kaplan M. Kandemir OOD UQCV EDL BDL 185 1,000 0 05 Jun 2018
Predictive Uncertainty Estimation via Prior Networks A. Malinin Mark Gales UD BDL EDL UQCV PER 193 922 0 28 Feb 2018
Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation Liang-Chieh Chen Yukun Zhu George Papandreou Florian Schroff Hartwig Adam SSeg 477 13,168 0 07 Feb 2018
Generalised Dice overlap as a deep learning loss function for highly unbalanced segmentations Carole H Sudre Wenqi Li Tom Vercauteren Sébastien Ourselin M. Jorge Cardoso SSeg 124 2,149 0 11 Jul 2017
Rethinking Atrous Convolution for Semantic Image Segmentation Liang-Chieh Chen George Papandreou Florian Schroff Hartwig Adam SSeg 232 8,481 0 17 Jun 2017
What Uncertainties Do We Need in Bayesian Deep Learning for Computer Vision? Alex Kendall Y. Gal BDL OOD UD UQCV PER 359 4,718 0 15 Mar 2017
A Baseline for Detecting Misclassified and Out-of-Distribution Examples in Neural Networks Dan Hendrycks Kevin Gimpel UQCV 166 3,468 0 07 Oct 2016
Deep Residual Learning for Image Recognition Kaiming He Xinming Zhang Shaoqing Ren Jian Sun MedIm 2.2K 194,322 0 10 Dec 2015
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 831 9,345 0 06 Jun 2015
U-Net: Convolutional Networks for Biomedical Image Segmentation Olaf Ronneberger Philipp Fischer Thomas Brox SSeg 3DV 1.8K 77,341 0 18 May 2015
Microsoft COCO: Common Objects in Context Nayeon Lee Michael Maire Serge J. Belongie Lubomir Bourdev Ross B. Girshick James Hays Pietro Perona Deva Ramanan C. L. Zitnick Piotr Dollár ObjD 419 43,777 0 01 May 2014