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. 2207.03478
  4. Cited By
Red PANDA: Disambiguating Anomaly Detection by Removing Nuisance Factors

Red PANDA: Disambiguating Anomaly Detection by Removing Nuisance Factors

7 July 2022
Niv Cohen
Jonathan Kahana
Yedid Hoshen
ArXivPDFHTML

Papers citing "Red PANDA: Disambiguating Anomaly Detection by Removing Nuisance Factors"

4 / 4 papers shown
Title
Contrastive Learning Inverts the Data Generating Process
Contrastive Learning Inverts the Data Generating Process
Roland S. Zimmermann
Yash Sharma
Steffen Schneider
Matthias Bethge
Wieland Brendel
SSL
238
208
0
17 Feb 2021
Towards Fair Deep Anomaly Detection
Towards Fair Deep Anomaly Detection
Hongjing Zhang
Ian Davidson
FaML
55
39
0
29 Dec 2020
A Style-Based Generator Architecture for Generative Adversarial Networks
A Style-Based Generator Architecture for Generative Adversarial Networks
Tero Karras
S. Laine
Timo Aila
306
10,368
0
12 Dec 2018
Image-to-Image Translation with Conditional Adversarial Networks
Image-to-Image Translation with Conditional Adversarial Networks
Phillip Isola
Jun-Yan Zhu
Tinghui Zhou
Alexei A. Efros
SSeg
212
19,455
0
21 Nov 2016
1