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. 2503.21125
  4. Cited By
Omni-AD: Learning to Reconstruct Global and Local Features for Multi-class Anomaly Detection

Omni-AD: Learning to Reconstruct Global and Local Features for Multi-class Anomaly Detection

27 March 2025
Jiajie Quan
Ao Tong
Yuxuan Cai
Xinwei He
Yanjie Wang
Yang Zhou
ArXivPDFHTML

Papers citing "Omni-AD: Learning to Reconstruct Global and Local Features for Multi-class Anomaly Detection"

1 / 1 papers shown
Title
Towards Scalable IoT Deployment for Visual Anomaly Detection via Efficient Compression
Towards Scalable IoT Deployment for Visual Anomaly Detection via Efficient Compression
Arianna Stropeni
Francesco Borsatti
Manuel Barusco
Davide Dalle Pezze
Marco Fabris
Gian Antonio Susto
21
0
0
11 May 2025
1