OCGAN: One-class Novelty Detection Using GANs with Constrained Latent Representations

20 March 2019

Papers citing "OCGAN: One-class Novelty Detection Using GANs with Constrained Latent Representations"

50 / 81 papers shown

Title
AdaptCLIP: Adapting CLIP for Universal Visual Anomaly Detection Bin-Bin Gao Yue Zhou Jiangtao Yan Y. Cai Wenbo Zhang Meng Wang Jun Liu Yong-Jin Liu Lei Wang Chengjie Wang VLM 46 0 0 15 May 2025
Learning to Detect Multi-class Anomalies with Just One Normal Image Prompt Bin-Bin Gao 37 4 0 14 May 2025
MetaUAS: Universal Anomaly Segmentation with One-Prompt Meta-Learning Bin-Bin Gao VLM 25 0 0 14 May 2025
Learning Run-time Safety Monitors for Machine Learning Components Ozan Vardal Richard Hawkins Colin Paterson Chiara Picardi Daniel Omeiza Lars Kunze Ibrahim Habli 33 0 0 23 Jun 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 48 0 0 15 Jun 2024
Deep Positive-Unlabeled Anomaly Detection for Contaminated Unlabeled Data Hiroshi Takahashi Tomoharu Iwata Atsutoshi Kumagai Yuuki Yamanaka 43 1 0 29 May 2024
COFT-AD: COntrastive Fine-Tuning for Few-Shot Anomaly Detection Jingyi Liao Xun Xu Manh Cuong Nguyen A. Goodge Chuan-Sheng Foo 42 10 0 29 Feb 2024
A Survey on Open-Set Image Recognition Jiaying Sun Qiulei Dong BDL ObjD 34 3 0 25 Dec 2023
Identifying the Defective: Detecting Damaged Grains for Cereal Appearance Inspection Lei Fan Yiwen Ding Dongdong Fan Yong Wu Maurice Pagnucco Yang Song 39 5 0 20 Nov 2023
GRAM: An Interpretable Approach for Graph Anomaly Detection using Gradient Attention Maps Yifei Yang Peng Wang Xiaofan He Dongmian Zou 24 5 0 10 Nov 2023
PAD: A Dataset and Benchmark for Pose-agnostic Anomaly Detection Qiang Zhou Weize Li Lihan Jiang Guoliang Wang Guyue Zhou Shanghang Zhang Hao Zhao 37 30 0 11 Oct 2023
Understanding the Feature Norm for Out-of-Distribution Detection Jaewoo Park Jacky Chen Long Chai Jaeho Yoon Andrew Beng Jin Teoh OODD 29 12 0 09 Oct 2023
AGAD: Adversarial Generative Anomaly Detection Jian Shi Ni Zhang 21 0 0 09 Apr 2023
ISSTAD: Incremental Self-Supervised Learning Based on Transformer for Anomaly Detection and Localization WenPing Jin Fei-Yu Guo Li Zhu ViT MedIm 40 1 0 30 Mar 2023
EfficientAD: Accurate Visual Anomaly Detection at Millisecond-Level Latencies Kilian Batzner Lars Heckler Rebecca König 48 130 0 25 Mar 2023
Anomaly Detection under Distribution Shift T. Cao Jiawen Zhu Guansong Pang 48 26 0 24 Mar 2023
Multimodal Industrial Anomaly Detection via Hybrid Fusion Yue Wang Jinlong Peng Jiangning Zhang Ran Yi Yabiao Wang Chengjie Wang 3DPC 83 87 0 01 Mar 2023
Explainable Anomaly Detection in Images and Videos: A Survey Yizhou Wang Dongliang Guo Sheng Li Octavia Camps Yun Fu 37 5 0 13 Feb 2023
Deep Orthogonal Hypersphere Compression for Anomaly Detection Yunhe Zhang Yan Sun Jinyu Cai Jicong Fan 38 10 0 13 Feb 2023
Unsupervised Deep One-Class Classification with Adaptive Threshold based on Training Dynamics Minkyung Kim Junsik Kim Jongmin Yu Jun Kyun Choi 19 2 0 13 Feb 2023
Cluster-aware Contrastive Learning for Unsupervised Out-of-distribution Detection Menglong Chen Xingtai Gui Shicai Fan OODD 13 1 0 06 Feb 2023
An Upper Bound for the Distribution Overlap Index and Its Applications Hao Fu Prashanth Krishnamurthy S. Garg Farshad Khorrami VLM 24 0 0 16 Dec 2022
Multi-scale Feature Imitation for Unsupervised Anomaly Localization Chao Hu Shengxin Lai 19 0 0 12 Dec 2022
DeSTSeg: Segmentation Guided Denoising Student-Teacher for Anomaly Detection Xuan Zhang Shiyu Li Xi Li Ping Huang Jiulong Shan Ting Chen 18 126 0 21 Nov 2022
Towards Realistic Out-of-Distribution Detection: A Novel Evaluation Framework for Improving Generalization in OOD Detection Vahid Reza Khazaie Anthony C. Wong Mohammad Sabokrou OODD 18 2 0 20 Nov 2022
Normal Reference Attention and Defective Feature Perception Network for Surface Defect Detection Wei Luo Haiming Yao Wenyong Yu 32 15 0 18 Nov 2022
Anomaly Detection via Multi-Scale Contrasted Memory Loic Jezequel Ngoc-Son Vu Jean Beaudet A. Histace 27 0 0 16 Nov 2022
Self-Supervised Texture Image Anomaly Detection By Fusing Normalizing Flow and Dictionary Learning Yaohua Guo Lijuan Song Zirui Ma 29 0 0 15 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
Constraining Representations Yields Models That Know What They Don't Know João Monteiro Pau Rodríguez López Pierre-Andre Noel I. Laradji David Vazquez AAML 44 0 0 30 Aug 2022
Augment to Detect Anomalies with Continuous Labelling Vahid Reza Khazaie A. Wong Y. Mohsenzadeh 25 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 42 3 0 03 Jul 2022
ADBench: Anomaly Detection Benchmark Songqiao Han Xiyang Hu Hailiang Huang Mingqi Jiang Yue Zhao OOD 41 296 0 19 Jun 2022
Attack-Agnostic Adversarial Detection Jiaxin Cheng Mohamed Hussein J. Billa Wael AbdAlmageed AAML 28 0 0 01 Jun 2022
Self-Supervised Masking for Unsupervised Anomaly Detection and Localization Chaoqin Huang Qinwei Xu Yanfeng Wang Yu Wang Ya Zhang 37 66 0 13 May 2022
Anomaly Detection by Leveraging Incomplete Anomalous Knowledge with Anomaly-Aware Bidirectional GANs Bowen Tian Qinliang Su Jian Yin 31 18 0 28 Apr 2022
Discriminative Feature Learning Framework with Gradient Preference for Anomaly Detection Muhao Xu Xueying Zhou Xizhan Gao Wei-Xiong He Sijie Niu 29 7 0 23 Apr 2022
Unsupervised Change Detection Based on Image Reconstruction Loss Hyeoncheol Noh Jingi Ju Min-seok Seo Jong-chan Park Dong-Geol Choi 33 36 0 04 Apr 2022
Catching Both Gray and Black Swans: Open-set Supervised Anomaly Detection Choubo Ding Guansong Pang Chunhua Shen OOD 24 112 0 28 Mar 2022
No Shifted Augmentations (NSA): compact distributions for robust self-supervised Anomaly Detection Mohamed Yousef Marcel R. Ackermann Unmesh Kurup Tom E. Bishop OODD OOD 40 3 0 19 Mar 2022
Open-set Adversarial Defense with Clean-Adversarial Mutual Learning Rui Shao Pramuditha Perera Pong C. Yuen Vishal M. Patel AAML 20 32 0 12 Feb 2022
Anomaly Detection via Reverse Distillation from One-Class Embedding Hanqiu Deng Xingyu Li UQCV 123 449 0 26 Jan 2022
Keeping Deep Lithography Simulators Updated: Global-Local Shape-Based Novelty Detection and Active Learning Hao-Chiang Shao Hsing-Lei Ping Kuo-shiuan Chen Weng-Tai Su Chia-Wen Lin Shao-Yun Fang Pin-Yian Tsai Yan-Hsiu Liu 30 7 0 24 Jan 2022
Data Invariants to Understand Unsupervised Out-of-Distribution Detection Lars Doorenbos Raphael Sznitman Pablo Márquez-Neila OODD 27 6 0 26 Nov 2021
Efficient Anomaly Detection Using Self-Supervised Multi-Cue Tasks Loic Jezequel Ngoc-Son Vu Jean Beaudet A. Histace 34 19 0 24 Nov 2021
Generalized Out-of-Distribution Detection: A Survey Jingkang Yang Kaiyang Zhou Yixuan Li Ziwei Liu 188 879 0 21 Oct 2021
Open-Set Recognition: a Good Closed-Set Classifier is All You Need? S. Vaze Kai Han Andrea Vedaldi Andrew Zisserman BDL 169 409 0 12 Oct 2021
Y-GAN: Learning Dual Data Representations for Efficient Anomaly Detection Marija Ivanovska Vitomir Štruc 25 2 0 28 Sep 2021
Visual Anomaly Detection for Images: A Survey Jie Yang Rui Xu Zhiquan Qi Yong Shi 25 35 0 27 Sep 2021
Self-supervised Representation Learning for Reliable Robotic Monitoring of Fruit Anomalies Taeyeong Choi Owen Would A. Gomez Grzegorz Cielniak 28 16 0 21 Sep 2021