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Entropy Maximization and Meta Classification for Out-Of-Distribution
  Detection in Semantic Segmentation
v1v2 (latest)

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

IEEE International Conference on Computer Vision (ICCV), 2020
9 December 2020
Robin Shing Moon Chan
Matthias Rottmann
Hanno Gottschalk
    OODD
ArXiv (abs)PDFHTML

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

50 / 104 papers shown
ClimaOoD: Improving Anomaly Segmentation via Physically Realistic Synthetic Data
ClimaOoD: Improving Anomaly Segmentation via Physically Realistic Synthetic Data
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Y. Liu
Huanhuan Liang
Ji Zhang
Zeyu Sun
Yong Liu
114
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02 Dec 2025
SupLID: Geometrical Guidance for Out-of-Distribution Detection in Semantic Segmentation
SupLID: Geometrical Guidance for Out-of-Distribution Detection in Semantic SegmentationInternational Conference on Information and Knowledge Management (CIKM), 2025
Nimeshika Udayangani
S. Erfani
Christopher Leckie
OODD
214
1
0
24 Nov 2025
Relative Energy Learning for LiDAR Out-of-Distribution Detection
Relative Energy Learning for LiDAR Out-of-Distribution Detection
Zizhao Li
Zhengkang Xiang
Jiayang Ao
Joseph West
Kourosh Khoshelham
OODD
533
0
0
10 Nov 2025
RS-OOD: A Vision-Language Augmented Framework for Out-of-Distribution Detection in Remote Sensing
RS-OOD: A Vision-Language Augmented Framework for Out-of-Distribution Detection in Remote Sensing
Yingrui Ji
Jiansheng Chen
Jingbo Chen
Anzhi Yue
Chenhao Wang
296
0
0
02 Sep 2025
Frustratingly Easy Feature Reconstruction for Out-of-Distribution Detection
Frustratingly Easy Feature Reconstruction for Out-of-Distribution Detection
YingSheng Wang
Shuo Lu
Jian Liang
A. Zheng
Ran He
OODD
279
0
0
02 Sep 2025
Activation Subspaces for Out-of-Distribution Detection
Activation Subspaces for Out-of-Distribution Detection
Barış Zöngür
Robin Hesse
Stefan Roth
OODD
232
1
0
29 Aug 2025
Sharpness-Aware Geometric Defense for Robust Out-Of-Distribution Detection
Sharpness-Aware Geometric Defense for Robust Out-Of-Distribution Detection
Jeng-Lin Li
Ming-Ching Chang
Wei-Chao Chen
175
0
0
24 Aug 2025
From Pixel to Mask: A Survey of Out-of-Distribution Segmentation
From Pixel to Mask: A Survey of Out-of-Distribution Segmentation
Wenjie Zhao
Jia Li
Yunhui Guo
214
0
0
14 Aug 2025
Uncertainty-Aware Likelihood Ratio Estimation for Pixel-Wise Out-of-Distribution Detection
Uncertainty-Aware Likelihood Ratio Estimation for Pixel-Wise Out-of-Distribution Detection
Marc Hölle
Walter Kellermann
Vasileios Belagiannis
OODDUQCV
244
0
0
01 Aug 2025
CoT-Segmenter: Enhancing OOD Detection in Dense Road Scenes via Chain-of-Thought Reasoning
CoT-Segmenter: Enhancing OOD Detection in Dense Road Scenes via Chain-of-Thought Reasoning
Jeonghyo Song
Kimin Yun
DaeUng Jo
JinYoung Kim
Y. Yoo
LRM
170
2
0
05 Jul 2025
Finer Disentanglement of Aleatoric Uncertainty Can Accelerate Chemical Histopathology Imaging
Finer Disentanglement of Aleatoric Uncertainty Can Accelerate Chemical Histopathology ImagingInternational Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2025
Ji-Hun Oh
Kianoush Falahkheirkhah
Rohit Bhargava
301
0
0
01 Jul 2025
NERO: Explainable Out-of-Distribution Detection with Neuron-level Relevance
NERO: Explainable Out-of-Distribution Detection with Neuron-level RelevanceInternational Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2025
Anju Chhetri
Jari Korhonen
P. Gyawali
Binod Bhattarai
OODD
382
2
0
18 Jun 2025
Anomalies by Synthesis: Anomaly Detection using Generative Diffusion Models for Off-Road Navigation
Anomalies by Synthesis: Anomaly Detection using Generative Diffusion Models for Off-Road NavigationIEEE International Conference on Robotics and Automation (ICRA), 2025
Siddharth Ancha
Sunshine Jiang
Travis Manderson
Laura Brandt
Yilun Du
Philip R. Osteen
Nicholas Roy
492
2
0
28 May 2025
Panoramic Out-of-Distribution Segmentation
Panoramic Out-of-Distribution Segmentation
Mengfei Duan
Kailun Yang
Yanmei Zhang
Yihong Cao
Fei Teng
Kai Luo
Kailai Li
Zhiyong Li
502
0
0
06 May 2025
Open-set Anomaly Segmentation in Complex Scenarios
Open-set Anomaly Segmentation in Complex Scenarios
Song Xia
Yi Yu
Henghui Ding
Wenhan Yang
Shixuan Liu
Alex C. Kot
Xudong Jiang
DiffM
288
1
0
28 Apr 2025
Prior2Former -- Evidential Modeling of Mask Transformers for Assumption-Free Open-World Panoptic Segmentation
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
408
2
0
07 Apr 2025
Out-of-Distribution Segmentation in Autonomous Driving: Problems and State of the Art
Out-of-Distribution Segmentation in Autonomous Driving: Problems and State of the Art
Youssef Shoeb
Azarm Nowzad
Hanno Gottschalk
UQCV
683
9
0
04 Mar 2025
Improving Open-world Continual Learning under the Constraints of Scarce Labeled Data
Improving Open-world Continual Learning under the Constraints of Scarce Labeled Data
Yongbin Li
Xiangkun Wang
Xin Yang
Marcello Bonsangue
Jing Zhang
Tianrui Li
CLLVLM
458
3
0
28 Feb 2025
Revisiting Kernel Attention with Correlated Gaussian Process Representation
Revisiting Kernel Attention with Correlated Gaussian Process RepresentationConference on Uncertainty in Artificial Intelligence (UAI), 2025
Long Minh Bui
Tho Tran Huu
Duy-Tung Dinh
T. Nguyen
Trong Nghia Hoang
442
8
0
27 Feb 2025
Exploring Open-world Continual Learning with Knowns-Unknowns Knowledge Transfer
Exploring Open-world Continual Learning with Knowns-Unknowns Knowledge Transfer
Yujie Li
Guannan Lai
Xin Yang
Yongbin Li
Marcello Bonsangue
Tianrui Li
CLLVLM
431
3
0
27 Feb 2025
HOpenCls: Training Hyperspectral Image Open-Set Classifiers in Their Living Environments
HOpenCls: Training Hyperspectral Image Open-Set Classifiers in Their Living Environments
Hengwei Zhao
Xinyu Wang
Zhuo Zheng
Jingtao Li
Yanfei Zhong
VLM
352
1
0
24 Feb 2025
Self-Supervised Likelihood Estimation with Energy Guidance for Anomaly Segmentation in Urban Scenes
Self-Supervised Likelihood Estimation with Energy Guidance for Anomaly Segmentation in Urban ScenesAAAI Conference on Artificial Intelligence (AAAI), 2023
Yuanpeng Tu
Yuxi Li
Boshen Zhang
Liang Liu
Jing Zhang
Yun Wang
C. Zhao
700
9
0
03 Jan 2025
AttEntropy: On the Generalization Ability of Supervised Semantic Segmentation Transformers to New Objects in New Domains
AttEntropy: On the Generalization Ability of Supervised Semantic Segmentation Transformers to New Objects in New DomainsBritish Machine Vision Conference (BMVC), 2022
Krzysztof Lis
Matthias Rottmann
Annika Mütze
S. Honari
Pascal Fua
Mathieu Salzmann
ViT
373
3
0
31 Dec 2024
Multi-Scale Foreground-Background Confidence for Out-of-Distribution
  Segmentation
Multi-Scale Foreground-Background Confidence for Out-of-Distribution Segmentation
Samuel Marschall
Kira Maag
419
3
0
22 Dec 2024
Neural Network Meta Classifier: Improving the Reliability of Anomaly
  Segmentation
Neural Network Meta Classifier: Improving the Reliability of Anomaly Segmentation
Jurica Runtas
Tomislav Petkovic
UQCV
304
0
0
14 Dec 2024
NCDD: Nearest Centroid Distance Deficit for Out-Of-Distribution
  Detection in Gastrointestinal Vision
NCDD: Nearest Centroid Distance Deficit for Out-Of-Distribution Detection in Gastrointestinal Vision
Sandesh Pokhrel
Sanjay Bhandari
Sharib Ali
Tryphon Lambrou
Anh Nguyen
Yash Raj Shrestha
Angus Watson
Danail Stoyanov
P. Gyawali
Binod Bhattarai
345
3
0
02 Dec 2024
FlowCLAS: Enhancing Normalizing Flow Via Contrastive Learning For Anomaly Segmentation
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
339
1
0
29 Nov 2024
Generalize or Detect? Towards Robust Semantic Segmentation Under
  Multiple Distribution Shifts
Generalize or Detect? Towards Robust Semantic Segmentation Under Multiple Distribution ShiftsNeural Information Processing Systems (NeurIPS), 2024
Zhitong Gao
Bingnan Li
Mathieu Salzmann
Xuming He
OODVLM
474
7
0
06 Nov 2024
Multi-Robot Motion Planning with Diffusion Models
Multi-Robot Motion Planning with Diffusion ModelsInternational Conference on Learning Representations (ICLR), 2024
Yorai Shaoul
Itamar Mishani
Shivam Vats
Jiaoyang Li
Maxim Likhachev
DiffM
538
17
0
04 Oct 2024
VL4AD: Vision-Language Models Improve Pixel-wise Anomaly Detection
VL4AD: Vision-Language Models Improve Pixel-wise Anomaly Detection
Liangyu Zhong
Joachim Sicking
Fabian Hüger
Hanno Gottschalk
VLM
296
0
0
25 Sep 2024
Learning Multi-Manifold Embedding for Out-Of-Distribution Detection
Learning Multi-Manifold Embedding for Out-Of-Distribution Detection
Jeng-Lin Li
Ming-Ching Chang
Wei-Chao Chen
OODD
214
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0
19 Sep 2024
Uncertainty and Prediction Quality Estimation for Semantic Segmentation
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Edgar Heinert
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Timo Palm
Matthias Rottmann
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406
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A Likelihood Ratio-Based Approach to Segmenting Unknown Objects
A Likelihood Ratio-Based Approach to Segmenting Unknown ObjectsInternational Journal of Computer Vision (IJCV), 2024
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On the Potential of Open-Vocabulary Models for Object Detection in
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Diffusion for Out-of-Distribution Detection on Road Scenes and Beyond
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Silvio Galesso
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CAS: Confidence Assessments of classification algorithms for Semantic
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Nikolaos Dionelis
Alessandra Feliciotti
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PixOOD: Pixel-Level Out-of-Distribution Detection
PixOOD: Pixel-Level Out-of-Distribution Detection
Tomávs Vojívr
Jan Sochman
Jivrí Matas
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400
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30 May 2024
AnoVox: A Benchmark for Multimodal Anomaly Detection in Autonomous
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Iramm Hamdard
Lukas Namgyu Rößler
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Yitian Yang
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Random Walk on Pixel Manifolds for Anomaly Segmentation of Complex
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Zelong Zeng
Kaname Tomite
321
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Criteria for Uncertainty-based Corner Cases Detection in Instance
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Florian Heidecker
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223
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Conformal Semantic Image Segmentation: Post-hoc Quantification of
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Finding Dino: A Plug-and-Play Framework for Zero-Shot Detection of Out-of-Distribution Objects Using Prototypes
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Open-World Semantic Segmentation Including Class Similarity
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Federico Magistri
Lucas Nunes
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Placing Objects in Context via Inpainting for Out-of-distribution
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Grégory Rogez
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424
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Yufan Chen
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Towards Reliable AI Model Deployments: Multiple Input Mixup for
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