Learning and Evaluating Representations for Deep One-class Classification

4 November 2020

Chun-Liang Li

Tomas Pfister

Papers citing "Learning and Evaluating Representations for Deep One-class Classification"

38 / 38 papers shown

Title
GlocalCLIP: Object-agnostic Global-Local Prompt Learning for Zero-shot Anomaly Detection Jiyul Ham Yonggon Jung Jun-Geol Baek VLM 41 1 0 09 Nov 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
Finding needles in a haystack: A Black-Box Approach to Invisible Watermark Detection Minzhou Pan Zhengting Wang Xin Dong Vikash Sehwag Lingjuan Lyu Xue Lin 40 3 0 23 Mar 2024
COFT-AD: COntrastive Fine-Tuning for Few-Shot Anomaly Detection Jingyi Liao Xun Xu Manh Cuong Nguyen A. Goodge Chuan-Sheng Foo 42 9 0 29 Feb 2024
Multimodal Industrial Anomaly Detection by Crossmodal Feature Mapping Alex Costanzino Pierluigi Zama Ramirez Giuseppe Lisanti Luigi Di Stefano 19 10 0 07 Dec 2023
Industrial Internet of Things Intelligence Empowering Smart Manufacturing: A Literature Review Member Ieee Yujiao Hu Qingmin Jia Yuao Yao Yong Lee Mengjie Lee Chenyi Wang Xiaomao Zhou Senior Member Ieee Renchao Xie Feng Yu 29 29 0 02 Dec 2023
Segment Any Anomaly without Training via Hybrid Prompt Regularization Yunkang Cao Xiaohao Xu Chen Sun Y. Cheng Zongwei Du Liang Gao Nong Sang VLM 37 70 0 18 May 2023
Deep Anomaly Detection under Labeling Budget Constraints Aodong Li Chen Qiu Marius Kloft Padhraic Smyth Stephan Mandt Maja R. Rudolph 38 13 0 15 Feb 2023
Deep Orthogonal Hypersphere Compression for Anomaly Detection Yunhe Zhang Yan Sun Jinyu Cai Jicong Fan 38 10 0 13 Feb 2023
SPADE: Semi-supervised Anomaly Detection under Distribution Mismatch Jinsung Yoon Kihyuk Sohn Chun-Liang Li Sercan Ö. Arik Tomas Pfister 29 7 0 30 Nov 2022
SeeABLE: Soft Discrepancies and Bounded Contrastive Learning for Exposing Deepfakes Nicolas Larue Ngoc-Son Vu Vitomir Štruc Peter Peer V. Christophides AAML 35 27 0 21 Nov 2022
Anomaly Detection via Multi-Scale Contrasted Memory Loic Jezequel Ngoc-Son Vu Jean Beaudet A. Histace 27 0 0 16 Nov 2022
Reconstruction from edge image combined with color and gradient difference for industrial surface anomaly detection Tongkun Liu Bing Li Zhu Zhao Xiaoyu Du Bin Jiang Leqi Geng 28 35 0 26 Oct 2022
Learning image representations for anomaly detection: application to discovery of histological alterations in drug development I. Zingman B. Stierstorfer C. Lempp Fabian Heinemann OOD MedIm 27 11 0 14 Oct 2022
Hierarchical Semi-Supervised Contrastive Learning for Contamination-Resistant Anomaly Detection Gaoang Wang Yibing Zhan Xinchao Wang Min-Gyoo Song K. Nahrstedt 27 11 0 24 Jul 2022
Intrinsic Anomaly Detection for Multi-Variate Time Series Stephan Rabanser Tim Januschowski Kashif Rasul Oliver Borchert Richard Kurle Jan Gasthaus Michael Bohlke-Schneider Nicolas Papernot Valentin Flunkert AI4TS 36 4 0 29 Jun 2022
Robustness Evaluation of Deep Unsupervised Learning Algorithms for Intrusion Detection Systems D'Jeff K. Nkashama Ariana Soltani Jean-Charles Verdier Marc Frappier Pierre-Marting Tardif F. Kabanza OOD AAML 29 5 0 25 Jun 2022
TracInAD: Measuring Influence for Anomaly Detection Hugo Thimonier Fabrice Popineau Arpad Rimmel Bich-Liên Doan Fabrice Daniel TDI 11 6 0 03 May 2022
Generalized Reference Kernel for One-class Classification Jenni Raitoharju Alexandros Iosifidis 21 2 0 01 May 2022
OCFormer: One-Class Transformer Network for Image Classification Prerana Mukherjee C. Roy Swalpa Kumar Roy ViT 22 1 0 25 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
Self-Supervised and Interpretable Anomaly Detection using Network Transformers Daniel L. Marino Chathurika S. Wickramasinghe C. Rieger Milos Manic 29 8 0 25 Feb 2022
Anomaly Clustering: Grouping Images into Coherent Clusters of Anomaly Types Kihyuk Sohn Jinsung Yoon Chun-Liang Li Chen-Yu Lee Tomas Pfister 19 18 0 21 Dec 2021
FROB: Few-shot ROBust Model for Classification and Out-of-Distribution Detection Nikolaos Dionelis Mehrdad Yaghoobi Sotirios A. Tsaftaris OODD 19 4 0 30 Nov 2021
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 32 19 0 24 Nov 2021
OMASGAN: Out-of-Distribution Minimum Anomaly Score GAN for Sample Generation on the Boundary Nikolaos Dionelis Mehrdad Yaghoobi Sotirios A. Tsaftaris OODD 23 6 0 28 Oct 2021
Pediatric Otoscopy Video Screening with Shift Contrastive Anomaly Detection Weiyao Wang Aniruddha Tamhane Christine Santos J. Rzasa James H Clark Therese L. Canares Mathias Unberath 32 4 0 25 Oct 2021
A Multi-Scale A Contrario method for Unsupervised Image Anomaly Detection Matías Tailanián Pablo Musé Álvaro Pardo 37 8 0 05 Oct 2021
CrossCLR: Cross-modal Contrastive Learning For Multi-modal Video Representations Mohammadreza Zolfaghari Yi Zhu Peter V. Gehler Thomas Brox 135 127 0 30 Sep 2021
Towards Zero and Few-shot Knowledge-seeking Turn Detection in Task-orientated Dialogue Systems Di Jin Shuyang Gao Seokhwan Kim Yang Liu Dilek Z. Hakkani-Tür 18 7 0 18 Sep 2021
Taxonomy of Machine Learning Safety: A Survey and Primer Sina Mohseni Haotao Wang Zhiding Yu Chaowei Xiao Zhangyang Wang J. Yadawa 21 31 0 09 Jun 2021
Do We Really Need to Learn Representations from In-domain Data for Outlier Detection? Zhisheng Xiao Qing Yan Y. Amit OOD UQCV 20 18 0 19 May 2021
CutPaste: Self-Supervised Learning for Anomaly Detection and Localization Chun-Liang Li Kihyuk Sohn Jinsung Yoon Tomas Pfister SSL UQCV 13 754 0 08 Apr 2021
Deep One-Class Classification via Interpolated Gaussian Descriptor Yuanhong Chen Yu Tian Guansong Pang G. Carneiro VLM 30 96 0 25 Jan 2021
Are generative deep models for novelty detection truly better? V. Škvára Tomás Pevný Václav Smídl 31 38 0 13 Jul 2018
Pixel Recurrent Neural Networks Aaron van den Oord Nal Kalchbrenner Koray Kavukcuoglu SSeg GAN 251 2,550 0 25 Jan 2016