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On Advantages of Mask-level Recognition for Outlier-aware Segmentation

9 January 2023

Papers citing "On Advantages of Mask-level Recognition for Outlier-aware Segmentation"

30 / 30 papers shown

Title
A Machine Learning Perspective on Automated Driving Corner Cases Sebastian Schmidt Julius Körner Stephan Günnemann 136 0 0 12 Oct 2025
Road Obstacle Video Segmentation Shyam Nandan Rai Shyamgopal Karthik Mariana-Iuliana Georgescu Barbara Caputo Carlo Masone Zeynep Akata VOS 149 0 0 16 Sep 2025
From Pixel to Mask: A Survey of Out-of-Distribution Segmentation Wenjie Zhao Jia Li Yunhui Guo 84 0 0 14 Aug 2025
Uncertainty-Aware Likelihood Ratio Estimation for Pixel-Wise Out-of-Distribution Detection Marc Hölle Walter Kellermann Vasileios Belagiannis OODD UQCV 138 0 0 01 Aug 2025
Panoramic Out-of-Distribution Segmentation Mengfei Duan Kailun Yang Yanmei Zhang Yihong Cao Fei Teng Kai Luo Kailai Li Zhiyong Li 342 0 0 06 May 2025
Prior2Former -- Evidential Modeling of Mask Transformers for Assumption-Free Open-World Panoptic Segmentation Sebastian Schmidt Julius Körner Dominik Fuchsgruber Stefano Gasperini F. Tombari Stephan Günnemann 283 2 0 07 Apr 2025
A Dataset for Semantic Segmentation in the Presence of UnknownsComputer Vision and Pattern Recognition (CVPR), 2025 Zakaria Laskar Tomás Vojír Matej Grcic Iaroslav Melekhov Shankar Gangisettye Arno Solin Jirí Matas Giorgos Tolias C.V. Jawahar UQCV 171 0 0 28 Mar 2025
Multi-modality Anomaly Segmentation on the Road Heng Gao Zhuolin He Shoumeng Qiu Xiangyang Xue Jian Pu 221 0 0 22 Mar 2025
Out-of-Distribution Segmentation in Autonomous Driving: Problems and State of the Art Youssef Shoeb Azarm Nowzad Hanno Gottschalk UQCV 512 6 0 04 Mar 2025
Multi-Scale Foreground-Background Confidence for Out-of-Distribution Segmentation Samuel Marschall Kira Maag 271 1 0 22 Dec 2024
Open-World Panoptic Segmentation Matteo Sodano Federico Magistri Jens Behley Cyrill Stachniss VLM 285 2 0 17 Dec 2024
Volumetric Mapping with Panoptic Refinement via Kernel Density Estimation for Mobile RobotsIEEE/RJS International Conference on Intelligent RObots and Systems (IROS), 2024 Khai Nguyen Tuan Dang Manfred Huber 193 4 0 15 Dec 2024
FlowCLAS: Enhancing Normalizing Flow Via Contrastive Learning For Anomaly Segmentation Chang Won Lee Selina Leveugle Svetlana Stolpner Chris Langley Paul Grouchy Jonathan Kelly Steven Waslander 259 1 0 29 Nov 2024
TESGNN: Temporal Equivariant Scene Graph Neural Networks for Efficient and Robust Multi-View 3D Scene Understanding Quang P.M. Pham Khoi T.N. Nguyen Lan C. Ngo Truong Do Truong Do Truong-Son Hy 3DPC 402 3 0 15 Nov 2024
Generalize or Detect? Towards Robust Semantic Segmentation Under Multiple Distribution ShiftsNeural Information Processing Systems (NeurIPS), 2024 Zhitong Gao Bingnan Li Mathieu Salzmann Xuming He OOD VLM 317 5 0 06 Nov 2024
VL4AD: Vision-Language Models Improve Pixel-wise Anomaly Detection Liangyu Zhong Joachim Sicking Fabian Hüger Hanno Gottschalk VLM 196 0 0 25 Sep 2024
A Likelihood Ratio-Based Approach to Segmenting Unknown ObjectsInternational Journal of Computer Vision (IJCV), 2024 Nazir Nayal Youssef Shoeb Fatma Güney OODD 206 8 0 10 Sep 2024
Diffusion for Out-of-Distribution Detection on Road Scenes and Beyond Silvio Galesso Philipp Schroppel Hssan Driss Thomas Brox 169 4 0 22 Jul 2024
PixOOD: Pixel-Level Out-of-Distribution Detection Tomávs Vojívr Jan Sochman Jivrí Matas OODD 246 14 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 241 8 0 13 May 2024
Random Walk on Pixel Manifolds for Anomaly Segmentation of Complex Driving Scenes Zelong Zeng Kaname Tomite 223 1 0 27 Apr 2024
Finding Dino: A Plug-and-Play Framework for Zero-Shot Detection of Out-of-Distribution Objects Using PrototypesIEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2024 Poulami Sinhamahapatra Franziska Schwaiger Shirsha Bose Huiyu Wang Karsten Roscher Stephan Guennemann 194 1 0 11 Apr 2024
Outlier detection by ensembling uncertainty with negative objectness Anja Delić Matej Grcić Sinisa Segvic UQCV 268 25 0 23 Feb 2024
Uncertainty estimates for semantic segmentation: providing enhanced reliability for automated motor claims handlingMachine Vision and Applications (MVA), 2024 Jan Küchler Daniel Kröll S. Schoenen Andreas Witte UQCV 135 2 0 17 Jan 2024
CSL: Class-Agnostic Structure-Constrained Learning for Segmentation Including the UnseenAAAI Conference on Artificial Intelligence (AAAI), 2023 Hao Zhang Fang Li Lu Qi Ming-Hsuan Yang Narendra Ahuja 188 14 0 09 Dec 2023
Have We Ever Encountered This Before? Retrieving Out-of-Distribution Road Obstacles from Driving ScenesIEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2023 Youssef Shoeb Robin Shing Moon Chan Gesina Schwalbe Azarm Nowzard Fatma Guney Hanno Gottschalk 148 8 0 08 Sep 2023
Anomaly-Aware Semantic Segmentation via Style-Aligned OoD Augmentation Dan Zhang K. Sakmann William H. Beluch Robin Hutmacher Yumeng Li 146 8 0 19 Aug 2023
Exploring the Potential of World Models for Anomaly Detection in Autonomous DrivingIEEE Symposium Series on Computational Intelligence (IEEE-SSCI), 2023 Daniel Bogdoll Lukas Bosch Tim Joseph Helen Gremmelmaier Yitian Yang J. Marius Zöllner 230 6 0 10 Aug 2023
Pixel-wise Gradient Uncertainty for Convolutional Neural Networks applied to Out-of-Distribution Segmentation Kira Maag Tobias Riedlinger UQCV 171 9 0 13 Mar 2023
Far Away in the Deep Space: Dense Nearest-Neighbor-Based Out-of-Distribution Detection Silvio Galesso Max Argus Thomas Brox UQCV 211 14 0 12 Nov 2022