Mean-Shifted Contrastive Loss for Anomaly Detection

7 June 2021

Papers citing "Mean-Shifted Contrastive Loss for Anomaly Detection"

20 / 20 papers shown

Title
Killing it with Zero-Shot: Adversarially Robust Novelty Detection Hossein Mirzaei Mohammad Jafari Hamid Reza Dehbashi Zeinab Sadat Taghavi Mohammad Sabokrou M. Rohban 69 1 0 28 Jan 2025
GeneralAD: Anomaly Detection Across Domains by Attending to Distorted Features Luc P.J. Strater Mohammadreza Salehi E. Gavves Cees G. M. Snoek Yuki M. Asano 41 7 0 17 Jul 2024
Learning Non-Linear Invariants for Unsupervised Out-of-Distribution Detection Lars Doorenbos Raphael Sznitman Pablo Márquez-Neila 42 1 0 04 Jul 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
Continual Unsupervised Out-of-Distribution Detection Lars Doorenbos Raphael Sznitman Pablo Márquez-Neila OODD 33 0 0 04 Jun 2024
DWE+: Dual-Way Matching Enhanced Framework for Multimodal Entity Linking Shezheng Song Shasha Li Shan Zhao Xiaopeng Li Chengyu Wang Jie Yu Jun Ma Tianwei Yan Bing Ji Xiaoguang Mao 23 0 0 07 Apr 2024
Heterogeneous Contrastive Learning for Foundation Models and Beyond Lecheng Zheng Baoyu Jing Zihao Li Hanghang Tong Jingrui He VLM 36 19 0 30 Mar 2024
A Dual-way Enhanced Framework from Text Matching Point of View for Multimodal Entity Linking Shezheng Song Shan Zhao Chengyu Wang Tianwei Yan Shasha Li Xiaoguang Mao Meng Wang 13 6 0 19 Dec 2023
Set Features for Anomaly Detection Niv Cohen Issar Tzachor Yedid Hoshen 29 0 0 24 Nov 2023
Environment-biased Feature Ranking for Novelty Detection Robustness Stefan Smeu Elena Burceanu Emanuela Haller Andrei Liviu Nicolicioiu OOD 36 0 0 21 Sep 2023
Cluster-aware Contrastive Learning for Unsupervised Out-of-distribution Detection Menglong Chen Xingtai Gui Shicai Fan OODD 11 1 0 06 Feb 2023
Anomalies, Representations, and Self-Supervision B. Dillon Luigi Favaro Friedrich Feiden Tanmoy Modak Tilman Plehn 21 9 0 11 Jan 2023
Anomaly Detection via Multi-Scale Contrasted Memory Loic Jezequel Ngoc-Son Vu Jean Beaudet A. Histace 27 0 0 16 Nov 2022
Hierarchical Semi-Supervised Contrastive Learning for Contamination-Resistant Anomaly Detection Gaoang Wang Yibing Zhan Xinchao Wang Min-Gyoo Song K. Nahrstedt 24 11 0 24 Jul 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 34 3 0 19 Mar 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 29 19 0 24 Nov 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
Deep One-Class Classification via Interpolated Gaussian Descriptor Yuanhong Chen Yu Tian Guansong Pang G. Carneiro VLM 24 96 0 25 Jan 2021
Improved Baselines with Momentum Contrastive Learning Xinlei Chen Haoqi Fan Ross B. Girshick Kaiming He SSL 267 3,371 0 09 Mar 2020