ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2006.03689
  4. Cited By
Anomaly Detection with Domain Adaptation

Anomaly Detection with Domain Adaptation

5 June 2020
Ziyi Yang
I. S. Bozchalooi
Eric F. Darve
    OOD
ArXiv (abs)PDFHTML

Papers citing "Anomaly Detection with Domain Adaptation"

11 / 11 papers shown
Title
Subject Information Extraction for Novelty Detection with Domain Shifts
Subject Information Extraction for Novelty Detection with Domain Shifts
Yangyang Qu
Dazhi Fu
Jicong Fan
OOD
102
0
0
30 Apr 2025
Fault Diagnosis in New Wind Turbines using Knowledge from Existing Turbines by Generative Domain Adaptation
Fault Diagnosis in New Wind Turbines using Knowledge from Existing Turbines by Generative Domain Adaptation
S. Jonas
Angela Meyer
AI4CE
78
0
0
24 Apr 2025
When Unsupervised Domain Adaptation meets One-class Anomaly Detection: Addressing the Two-fold Unsupervised Curse by Leveraging Anomaly Scarcity
When Unsupervised Domain Adaptation meets One-class Anomaly Detection: Addressing the Two-fold Unsupervised Curse by Leveraging Anomaly Scarcity
Nesryne Mejri
Enjie Ghorbel
Anis Kacem
Pavel Chernakov
Niki Maria Foteinopoulou
Djamila Aouada
127
0
0
28 Feb 2025
ROADS: Robust Prompt-driven Multi-Class Anomaly Detection under Domain
  Shift
ROADS: Robust Prompt-driven Multi-Class Anomaly Detection under Domain Shift
Hossein Kashiani
Niloufar Alipour Talemi
Fatemeh Afghah
141
2
0
25 Nov 2024
TAB: Text-Align Anomaly Backbone Model for Industrial Inspection Tasks
TAB: Text-Align Anomaly Backbone Model for Industrial Inspection Tasks
Ho-Weng Lee
Shang-Hong Lai
34
0
0
15 Dec 2023
Unsupervised Sim-to-Real Adaptation of Soft Robot Proprioception using a
  Dual Cross-modal Autoencoder
Unsupervised Sim-to-Real Adaptation of Soft Robot Proprioception using a Dual Cross-modal Autoencoder
Chaeree Park
Hyunkyu Park
Jung Kim
49
0
0
21 Oct 2023
Tight Rates in Supervised Outlier Transfer Learning
Tight Rates in Supervised Outlier Transfer Learning
Mohammadreza M. Kalan
Samory Kpotufe
38
1
0
07 Oct 2023
Zero-shot domain adaptation of anomalous samples for semi-supervised
  anomaly detection
Zero-shot domain adaptation of anomalous samples for semi-supervised anomaly detection
Tomoya Nishida
Takashi Endo
Yohei Kawaguchi
45
1
0
05 Apr 2023
ADBench: Anomaly Detection Benchmark
ADBench: Anomaly Detection Benchmark
Songqiao Han
Xiyang Hu
Hailiang Huang
Mingqi Jiang
Yue Zhao
OOD
103
313
0
19 Jun 2022
Anomaly Detection in IR Images of PV Modules using Supervised
  Contrastive Learning
Anomaly Detection in IR Images of PV Modules using Supervised Contrastive Learning
Lukas Bommes
M. Hoffmann
C. Buerhop‐Lutz
Tobias Pickel
J. Hauch
Christoph J. Brabec
Andreas Maier
I. M. Peters
97
33
0
06 Dec 2021
Adversarial Discriminative Domain Adaptation
Adversarial Discriminative Domain Adaptation
Eric Tzeng
Judy Hoffman
Kate Saenko
Trevor Darrell
GANOOD
299
4,685
0
17 Feb 2017
1