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Synthesize then Compare: Detecting Failures and Anomalies for Semantic
  Segmentation

Synthesize then Compare: Detecting Failures and Anomalies for Semantic Segmentation

18 March 2020
Yingda Xia
Yi Zhang
Fengze Liu
Wei Shen
Alan Yuille
    UQCV
ArXivPDFHTML

Papers citing "Synthesize then Compare: Detecting Failures and Anomalies for Semantic Segmentation"

31 / 31 papers shown
Title
Panoramic Out-of-Distribution Segmentation
Panoramic Out-of-Distribution Segmentation
Mengfei Duan
Kailun Yang
Yanmei Zhang
Yihong Cao
Fei Teng
Kai Luo
Jiaming Zhang
Zhiyong Li
Shutao Li
59
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
59
0
0
28 Apr 2025
SAM-LAD: Segment Anything Model Meets Zero-Shot Logic Anomaly Detection
SAM-LAD: Segment Anything Model Meets Zero-Shot Logic Anomaly Detection
Yun Peng
Xiao Lin
Nachuan Ma
Jiayuan Du
Chuangwei Liu
Chengju Liu
Qi Chen
92
3
0
17 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 Scenes
Yuanpeng Tu
Yuxi Li
Boshen Zhang
Liang Liu
Jing Zhang
Yun Wang
C. Zhao
74
3
0
03 Jan 2025
Attention-Guided Perturbation for Unsupervised Image Anomaly Detection
Attention-Guided Perturbation for Unsupervised Image Anomaly Detection
Tingfeng Huang
Yuxuan Cheng
Jingbo Xia
Rui Yu
Yuxuan Cai
Jinhai Xiang
Xinwei He
AAML
83
0
0
14 Aug 2024
Latency-aware Road Anomaly Segmentation in Videos: A Photorealistic
  Dataset and New Metrics
Latency-aware Road Anomaly Segmentation in Videos: A Photorealistic Dataset and New Metrics
Beiwen Tian
Huan-ang Gao
Leiyao Cui
Yupeng Zheng
Lan Luo
Baofeng Wang
Rong Zhi
Guyue Zhou
Hao Zhao
31
4
0
10 Jan 2024
ZePT: Zero-Shot Pan-Tumor Segmentation via Query-Disentangling and
  Self-Prompting
ZePT: Zero-Shot Pan-Tumor Segmentation via Query-Disentangling and Self-Prompting
Yankai Jiang
Zhongzhen Huang
Rongzhao Zhang
Xiaofan Zhang
Shaoting Zhang
VLM
56
11
0
07 Dec 2023
Mask2Anomaly: Mask Transformer for Universal Open-set Segmentation
Mask2Anomaly: Mask Transformer for Universal Open-set Segmentation
Shyam Nandan Rai
Fabio Cermelli
Barbara Caputo
Carlo Masone
ISeg
ViT
40
5
0
08 Sep 2023
Maskomaly:Zero-Shot Mask Anomaly Segmentation
Maskomaly:Zero-Shot Mask Anomaly Segmentation
J. Ackermann
Daniel Gehrig
Feng Yu
ISeg
57
23
0
26 May 2023
Top-Down Visual Attention from Analysis by Synthesis
Top-Down Visual Attention from Analysis by Synthesis
Baifeng Shi
Trevor Darrell
Xin Eric Wang
35
30
0
23 Mar 2023
Structured Generative Models for Scene Understanding
Structured Generative Models for Scene Understanding
Christopher K. I. Williams
OCL
3DV
43
3
0
07 Feb 2023
Improving Uncertainty-based Out-of-Distribution Detection for Medical
  Image Segmentation
Improving Uncertainty-based Out-of-Distribution Detection for Medical Image Segmentation
Benjamin Lambert
Florence Forbes
Senan Doyle
A. Tucholka
M. Dojat
UQCV
OOD
74
4
0
10 Nov 2022
Two Video Data Sets for Tracking and Retrieval of Out of Distribution
  Objects
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
59
19
0
05 Oct 2022
GMMSeg: Gaussian Mixture based Generative Semantic Segmentation Models
GMMSeg: Gaussian Mixture based Generative Semantic Segmentation Models
Chen Liang
Wenguan Wang
Jiaxu Miao
Yi Yang
VLM
54
117
0
05 Oct 2022
Self-Supervised Guided Segmentation Framework for Unsupervised Anomaly
  Detection
Self-Supervised Guided Segmentation Framework for Unsupervised Anomaly Detection
Peng-Fei Xing
Yanpeng Sun
Zechao Li
76
12
0
26 Sep 2022
ADTR: Anomaly Detection Transformer with Feature Reconstruction
ADTR: Anomaly Detection Transformer with Feature Reconstruction
Zhiyuan You
Kai Yang
Wenhan Luo
Lei Cui
Yu Zheng
Xinyi Le
ViT
53
42
0
05 Sep 2022
Probing Contextual Diversity for Dense Out-of-Distribution Detection
Probing Contextual Diversity for Dense Out-of-Distribution Detection
Silvio Galesso
M. A. Bravo
Mehdi Naouar
Thomas Brox
31
4
0
30 Aug 2022
Instance-Aware Observer Network for Out-of-Distribution Object
  Segmentation
Instance-Aware Observer Network for Out-of-Distribution Object Segmentation
Victor Besnier
Andrei Bursuc
David Picard
Alexandre Briot
49
1
0
18 Jul 2022
DenseHybrid: Hybrid Anomaly Detection for Dense Open-set Recognition
DenseHybrid: Hybrid Anomaly Detection for Dense Open-set Recognition
Matej Grcić
Petra Bevandić
Sinivsa vSegvić
42
54
0
06 Jul 2022
Amodal Cityscapes: A New Dataset, its Generation, and an Amodal Semantic
  Segmentation Challenge Baseline
Amodal Cityscapes: A New Dataset, its Generation, and an Amodal Semantic Segmentation Challenge Baseline
Jasmin Breitenstein
Tim Fingscheidt
31
21
0
01 Jun 2022
GOSS: Towards Generalized Open-set Semantic Segmentation
GOSS: Towards Generalized Open-set Semantic Segmentation
Jie Hong
Weihong Li
Junlin Han
Jiyang Zheng
Pengfei Fang
Mehrtash Harandi
L. Petersson
VLM
45
19
0
23 Mar 2022
CODA: A Real-World Road Corner Case Dataset for Object Detection in
  Autonomous Driving
CODA: A Real-World Road Corner Case Dataset for Object Detection in Autonomous Driving
Kaican Li
Kai Chen
Haoyu Wang
Lanqing Hong
Chao Ye
...
Chunjing Xu
Dit-Yan Yeung
Xiaodan Liang
Zhenguo Li
Hang Xu
39
98
0
15 Mar 2022
Open-set 3D Object Detection
Open-set 3D Object Detection
Jun Cen
Peng Yun
Junhao Cai
M. Y. Wang
Meilin Liu
3DPC
30
38
0
02 Dec 2021
Description of Corner Cases in Automated Driving: Goals and Challenges
Description of Corner Cases in Automated Driving: Goals and Challenges
Daniel Bogdoll
Jasmin Breitenstein
Florian Heidecker
Maarten Bieshaar
Bernhard Sick
Tim Fingscheidt
J. Marius Zöllner
48
55
0
20 Sep 2021
FSNet: A Failure Detection Framework for Semantic Segmentation
FSNet: A Failure Detection Framework for Semantic Segmentation
Q. Rahman
Niko Sünderhauf
Peter Corke
Feras Dayoub
UQCV
SSeg
45
20
0
19 Aug 2021
Triggering Failures: Out-Of-Distribution detection by learning from
  local adversarial attacks in Semantic Segmentation
Triggering Failures: Out-Of-Distribution detection by learning from local adversarial attacks in Semantic Segmentation
Victor Besnier
Andrei Bursuc
David Picard
Alexandre Briot
UQCV
46
48
0
03 Aug 2021
SegmentMeIfYouCan: A Benchmark for Anomaly Segmentation
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
29
136
0
30 Apr 2021
Detecting Road Obstacles by Erasing Them
Detecting Road Obstacles by Erasing Them
Krzysztof Lis
S. Honari
Pascal Fua
Mathieu Salzmann
UQCV
51
44
0
25 Dec 2020
Dense open-set recognition with synthetic outliers generated by Real NVP
Dense open-set recognition with synthetic outliers generated by Real NVP
Matej Grcić
Petra Bevandić
Sinisa Segvic
34
40
0
22 Nov 2020
Deep Nets: What have they ever done for Vision?
Deep Nets: What have they ever done for Vision?
Alan Yuille
Chenxi Liu
40
104
0
10 May 2018
Dropout as a Bayesian Approximation: Representing Model Uncertainty in
  Deep Learning
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning
Y. Gal
Zoubin Ghahramani
UQCV
BDL
305
9,202
0
06 Jun 2015
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