Synthesize then Compare: Detecting Failures and Anomalies for Semantic Segmentation

18 March 2020

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

29 / 29 papers shown

Title
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 Song Xia Yi Yu Henghui Ding Wenhan Yang Shixuan Liu Alex C. Kot Xudong Jiang DiffM 57 0 0 28 Apr 2025
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 46 3 0 17 Feb 2025
Self-Supervised Likelihood Estimation with Energy Guidance for Anomaly Segmentation in Urban Scenes Yuanpeng Tu Yuxi Li Boshen Zhang Liang Liu Jingyang Zhang Yishuo Wang C. Zhao 61 3 0 03 Jan 2025
Attention-Guided Perturbation for Unsupervised Image Anomaly Detection Tingfeng Huang Yuxuan Cheng Jingbo Xia Rui Yu Yuxuan Cai Jinhai Xiang Xinwei He AAML 69 0 0 14 Aug 2024
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 26 4 0 10 Jan 2024
ZePT: Zero-Shot Pan-Tumor Segmentation via Query-Disentangling and Self-Prompting Yankai Jiang Zhongzhen Huang Rongzhao Zhang Xiaofan Zhang Shaoting Zhang VLM 42 10 0 07 Dec 2023
Mask2Anomaly: Mask Transformer for Universal Open-set Segmentation Shyam Nandan Rai Fabio Cermelli Barbara Caputo Carlo Masone ISeg ViT 33 5 0 08 Sep 2023
Maskomaly:Zero-Shot Mask Anomaly Segmentation J. Ackermann Daniel Gehrig Feng Yu ISeg 38 23 0 26 May 2023
Top-Down Visual Attention from Analysis by Synthesis Baifeng Shi Trevor Darrell Xin Eric Wang 25 29 0 23 Mar 2023
Structured Generative Models for Scene Understanding Christopher K. I. Williams OCL 3DV 19 3 0 07 Feb 2023
Improving Uncertainty-based Out-of-Distribution Detection for Medical Image Segmentation Benjamin Lambert Florence Forbes Senan Doyle A. Tucholka M. Dojat UQCV OOD 61 4 0 10 Nov 2022
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 40 19 0 05 Oct 2022
GMMSeg: Gaussian Mixture based Generative Semantic Segmentation Models Chen Liang Wenguan Wang Jiaxu Miao Yi Yang VLM 41 117 0 05 Oct 2022
Self-Supervised Guided Segmentation Framework for Unsupervised Anomaly Detection Peng-Fei Xing Yanpeng Sun Zechao Li 30 12 0 26 Sep 2022
ADTR: Anomaly Detection Transformer with Feature Reconstruction Zhiyuan You Kai Yang Wenhan Luo Lei Cui Yu Zheng Xinyi Le ViT 37 42 0 05 Sep 2022
Probing Contextual Diversity for Dense Out-of-Distribution Detection Silvio Galesso M. A. Bravo Mehdi Naouar Thomas Brox 21 4 0 30 Aug 2022
Instance-Aware Observer Network for Out-of-Distribution Object Segmentation Victor Besnier Andrei Bursuc David Picard Alexandre Briot 39 1 0 18 Jul 2022
DenseHybrid: Hybrid Anomaly Detection for Dense Open-set Recognition Matej Grcić Petra Bevandić Sinivsa vSegvić 32 54 0 06 Jul 2022
Amodal Cityscapes: A New Dataset, its Generation, and an Amodal Semantic Segmentation Challenge Baseline Jasmin Breitenstein Tim Fingscheidt 26 21 0 01 Jun 2022
GOSS: Towards Generalized Open-set Semantic Segmentation Jie Hong Weihong Li Junlin Han Jiyang Zheng Pengfei Fang Mehrtash Harandi L. Petersson VLM 30 19 0 23 Mar 2022
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 34 98 0 15 Mar 2022
Open-set 3D Object Detection Jun Cen Peng Yun Junhao Cai M. Y. Wang Meilin Liu 3DPC 30 37 0 02 Dec 2021
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 43 55 0 20 Sep 2021
FSNet: A Failure Detection Framework for Semantic Segmentation Q. Rahman Niko Sünderhauf Peter Corke Feras Dayoub UQCV SSeg 30 20 0 19 Aug 2021
Triggering Failures: Out-Of-Distribution detection by learning from local adversarial attacks in Semantic Segmentation Victor Besnier Andrei Bursuc David Picard Alexandre Briot UQCV 24 48 0 03 Aug 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 24 136 0 30 Apr 2021
Deep Nets: What have they ever done for Vision? Alan Yuille Chenxi Liu 25 100 0 10 May 2018
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 287 9,156 0 06 Jun 2015