RoSAS: Deep Semi-Supervised Anomaly Detection with
Contamination-Resilient Continuous Supervision

RoSAS: Deep Semi-Supervised Anomaly Detection with Contamination-Resilient Continuous Supervision

25 July 2023

Songlei Jian

Papers citing "RoSAS: Deep Semi-Supervised Anomaly Detection with Contamination-Resilient Continuous Supervision"

8 / 8 papers shown

Title
Decomposition-based multi-scale transformer framework for time series anomaly detection Wenxin Zhang Cuicui Luo AI4TS 47 0 0 19 Apr 2025
Catching Both Gray and Black Swans: Open-set Supervised Anomaly Detection Choubo Ding Guansong Pang Chunhua Shen OOD 29 113 0 28 Mar 2022
TiWS-iForest: Isolation Forest in Weakly Supervised and Tiny ML scenarios T. Barbariol Gian Antonio Susto 27 21 0 30 Nov 2021
Explainable Deep Few-shot Anomaly Detection with Deviation Networks Guansong Pang Choubo Ding Chunhua Shen Anton Van Den Hengel 57 87 0 01 Aug 2021
Neural Contextual Anomaly Detection for Time Series Chris U. Carmona Franccois-Xavier Aubet Valentin Flunkert Jan Gasthaus BDL AI4TS 73 65 0 16 Jul 2021
Deep Learning for Anomaly Detection: A Review Guansong Pang Chunhua Shen LongBing Cao Anton Van Den Hengel 64 910 0 06 Jul 2020
Self-trained Deep Ordinal Regression for End-to-End Video Anomaly Detection Guansong Pang Cheng Yan Chunhua Shen Anton Van Den Hengel Xiao Bai 32 209 0 15 Mar 2020
Deep Semi-Supervised Anomaly Detection Lukas Ruff Robert A. Vandermeulen Nico Görnitz Alexander Binder Emmanuel Müller K. Müller Marius Kloft UQCV 27 543 0 06 Jun 2019