v1v2 (latest)

G2D: Generate to Detect Anomaly

IEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2025

20 June 2020

Papers citing "G2D: Generate to Detect Anomaly"

40 / 40 papers shown

Title
The Evolution of Video Anomaly Detection: A Unified Framework from DNN to MLLM Shibo Gao P. Yang Haiyang Guo Y. Liu Y. Chen Shuai Li Han Zhu Jian Xu Xu-Yao Zhang Linlin Huang VGen 55 0 0 29 Jul 2025
Identifying Spatio-Temporal Drivers of Extreme Events Mohamad Hakam Shams Eddin Juergen Gall AI4TS 156 0 0 31 Oct 2024
zGAN: An Outlier-focused Generative Adversarial Network For Realistic Synthetic Data Generation Azizjon Azimi Bonu Boboeva Ilyas Varshavskiy Shuhrat Khalilbekov Akhlitdin Nizamitdinov Najima Noyoftova Sergey Shulgin 97 0 0 28 Oct 2024
Context Enhancement with Reconstruction as Sequence for Unified Unsupervised Anomaly Detection Hui-Yue Yang Hui Chen Lihao Liu Zijia Lin Kai Chen Liejun Wang Jungong Han Guiguang Ding 115 1 0 10 Sep 2024
Deep Learning for Video Anomaly Detection: A Review Peng Wu Chengyu Pan Yuting Yan Guansong Pang Peng Wang Yanning Zhang VLM AI4TS 120 23 0 09 Sep 2024
Enhancing Anomaly Detection Generalization through Knowledge Exposure: The Dual Effects of Augmentation Mohammad Akhavan Anvari Rojina Kashefi Vahid Reza Khazaie Mohammad Khalooei Mohammad Sabokrou 168 0 0 15 Jun 2024
A Comprehensive Survey on Machine Learning Driven Material Defect Detection Jun Bai Di Wu T. Shelley Peter Schubel David Twine John Russell Xuesen Zeng J. Zhang 183 13 0 12 Jun 2024
LogicAL: Towards logical anomaly synthesis for unsupervised anomaly localization Ying Zhao 124 8 0 11 May 2024
Exploiting Autoencoder's Weakness to Generate Pseudo Anomalies Marcella Astrid Muhammad Zaigham Zaheer Djamila Aouada Seung-Ik Lee AAML 125 2 0 09 May 2024
Constricting Normal Latent Space for Anomaly Detection with Normal-only Training Data Marcella Astrid Muhammad Zaigham Zaheer Seung-Ik Lee UQCV 98 1 0 24 Mar 2024
CSE: Surface Anomaly Detection with Contrastively Selected Embedding Simon Thomine H. Snoussi 96 1 0 04 Mar 2024
Distillation-based fabric anomaly detection Simon Thomine H. Snoussi 117 15 0 04 Jan 2024
Video Anomaly Detection via Spatio-Temporal Pseudo-Anomaly Generation : A Unified Approach Ayush K. Rai Tarun Krishna Feiyan Hu Alexandru Drimbarean Kevin McGuinness Alan F. Smeaton Noel E. O'Connor 168 6 0 27 Nov 2023
Out-of-distribution Detection Learning with Unreliable Out-of-distribution Sources Haotian Zheng Qizhou Wang Zhen Fang Xiaobo Xia Feng Liu Tongliang Liu Bo Han 305 31 0 06 Nov 2023
Don't Miss Out on Novelty: Importance of Novel Features for Deep Anomaly Detection S. Sivaprasad Mario Fritz AAML 175 0 0 01 Oct 2023
Contextual Affinity Distillation for Image Anomaly Detection Jie Zhang Masanori Suganuma Takayuki Okatani 153 23 0 06 Jul 2023
MixedTeacher : Knowledge Distillation for fast inference textural anomaly detection Simon Thomine H. Snoussi Mahmoud Soua 145 7 0 16 Jun 2023
FABLE : Fabric Anomaly Detection Automation Process Simon Thomine H. Snoussi Mahmoud Soua 85 5 0 16 Jun 2023
Anomaly Detection under Distribution Shift T. Cao Jiawen Zhu Guansong Pang 160 37 0 24 Mar 2023
PseudoBound: Limiting the anomaly reconstruction capability of one-class classifiers using pseudo anomalies Marcella Astrid M. Zaheer Seung-Ik Lee 109 22 0 19 Mar 2023
Whole-slide-imaging Cancer Metastases Detection and Localization with Limited Tumorous Data Yinsheng He Xingyu Li MedIm 114 2 0 18 Mar 2023
Dissolving Is Amplifying: Towards Fine-Grained Anomaly Detection Jian Shi Pengyi Zhang Ni Zhang Hakim Ghazzai Y. Massoud MedIm 164 7 0 28 Feb 2023
Generative Oversampling for Imbalanced Data via Majority-Guided VAE Qingzhong Ai Pengyun Wang Lirong He Liangjiang Wen Lujia Pan Zenglin Xu 96 10 0 14 Feb 2023
Robust One-Class Classification with Signed Distance Function using 1-Lipschitz Neural Networks Louis Bethune Paul Novello Thibaut Boissin Guillaume Coiffier M. Serrurier Quentin Vincenot Andres Troya-Galvis 143 10 0 26 Jan 2023
Cross-Domain Video Anomaly Detection without Target Domain Adaptation Abhishek Aich Kuan-Chuan Peng Amit K. Roy-Chowdhury 139 29 0 14 Dec 2022
Teacher-Student Network for 3D Point Cloud Anomaly Detection with Few Normal Samples Jianjian Qin Chunzhi Gu Junzhou Yu Chaoxi Zhang 3DPC 157 16 0 31 Oct 2022
Connective Reconstruction-based Novelty Detection Seyyed Morteza Hashemi Parvaneh Aliniya Parvin Razzaghi OODD 100 1 0 25 Oct 2022
Augment to Detect Anomalies with Continuous Labelling Vahid Reza Khazaie A. Wong Y. Mohsenzadeh 147 1 0 03 Jul 2022
Anomaly Detection with Adversarially Learned Perturbations of Latent Space Vahid Reza Khazaie A. Wong John Taylor Jewell Y. Mohsenzadeh AAML 160 4 0 03 Jul 2022
A Unified Model for Multi-class Anomaly Detection Zhiyuan You Lei Cui Yujun Shen Kai Yang Xin Lu Yu Zheng Xinyi Le 272 294 0 08 Jun 2022
Fake It Till You Make It: Towards Accurate Near-Distribution Novelty Detection Hossein Mirzaei Mohammadreza Salehi Sajjad Shahabi E. Gavves Cees G. M. Snoek Mohammad Sabokrou M. Rohban OOD 114 6 0 28 May 2022
Unknown Face Presentation Attack Detection via Localised Learning of Multiple Kernels Shervin Rahimzadeh Arashloo CVBM AAML 127 11 0 22 Apr 2022
ALGAN: Anomaly Detection by Generating Pseudo Anomalous Data via Latent Variables Hironori Murase Kenji Fukumizu 112 13 0 21 Feb 2022
Anomaly Detection via Reverse Distillation from One-Class Embedding Hanqiu Deng Xingyu Li UQCV 265 596 0 26 Jan 2022
FROB: Few-shot ROBust Model for Classification and Out-of-Distribution Detection Nikolaos Dionelis Mehrdad Yaghoobi Sotirios A. Tsaftaris OODD 92 4 0 30 Nov 2021
OMASGAN: Out-of-Distribution Minimum Anomaly Score GAN for Sample Generation on the Boundary Nikolaos Dionelis Mehrdad Yaghoobi Sotirios A. Tsaftaris OODD 131 6 0 28 Oct 2021
A Unified Survey on Anomaly, Novelty, Open-Set, and Out-of-Distribution Detection: Solutions and Future Challenges Mohammadreza Salehi Hossein Mirzaei Dan Hendrycks Yixuan Li M. Rohban Mohammad Sabokrou OOD 283 206 0 26 Oct 2021
Applications of Generative Adversarial Networks in Anomaly Detection: A Systematic Literature Review Mikael Sabuhi Ming Zhou Cor-Paul Bezemer Petr Musílek AI4TS MedIm 121 70 0 22 Oct 2021
Learning Not to Reconstruct Anomalies Marcella Astrid M. Zaheer Jae-Yeong Lee Seung-Ik Lee 155 50 0 19 Oct 2021
Image/Video Deep Anomaly Detection: A Survey Bahram Mohammadi M. Fathy Mohammad Sabokrou 95 39 0 02 Mar 2021