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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 Scenes

3 January 2025
Yuanpeng Tu
Yuxi Li
Boshen Zhang
Liang Liu
J. Zhang
Y. Wang
C. Zhao
ArXivPDFHTML

Papers citing "Self-Supervised Likelihood Estimation with Energy Guidance for Anomaly Segmentation in Urban Scenes"

5 / 5 papers shown
Title
Open-set Anomaly Segmentation in Complex Scenarios
Open-set Anomaly Segmentation in Complex Scenarios
Song Xia
Yi Yu
Henghui Ding
Wenhan Yang
S. Liu
Alex C. Kot
Xudong Jiang
DiffM
50
0
0
28 Apr 2025
Concurrent Misclassification and Out-of-Distribution Detection for
  Semantic Segmentation via Energy-Based Normalizing Flow
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
Consensus Synergizes with Memory: A Simple Approach for Anomaly
  Segmentation in Urban Scenes
Consensus Synergizes with Memory: A Simple Approach for Anomaly Segmentation in Urban Scenes
Jiazhong Cen
Zekun Jiang
Lingxi Xie
Qi Tian
Dongsheng Jiang
Wei Shen
19
5
0
24 Nov 2021
Simple and Scalable Predictive Uncertainty Estimation using Deep
  Ensembles
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles
Balaji Lakshminarayanan
Alexander Pritzel
Charles Blundell
UQCV
BDL
268
5,635
0
05 Dec 2016
ImageNet Large Scale Visual Recognition Challenge
ImageNet Large Scale Visual Recognition Challenge
Olga Russakovsky
Jia Deng
Hao Su
J. Krause
S. Satheesh
...
A. Karpathy
A. Khosla
Michael S. Bernstein
Alexander C. Berg
Li Fei-Fei
VLM
ObjD
279
39,083
0
01 Sep 2014
1