Towards Scalable IoT Deployment for Visual Anomaly Detection via Efficient Compression

11 May 2025

Papers citing "Towards Scalable IoT Deployment for Visual Anomaly Detection via Efficient Compression"

6 / 6 papers shown

Title
Omni-AD: Learning to Reconstruct Global and Local Features for Multi-class Anomaly Detection Jiajie Quan Ao Tong Yuxuan Cai Xinwei He Yanjie Wang Yang Zhou 117 1 0 27 Mar 2025
PaSTe: Improving the Efficiency of Visual Anomaly Detection at the Edge Manuel Barusco Francesco Borsatti Davide Dalle Pezze Francesco Paissan Elisabetta Farella Gian Antonio Susto 59 3 0 15 Oct 2024
CFA: Coupled-hypersphere-based Feature Adaptation for Target-Oriented Anomaly Localization Sungwook Lee Seunghyun Lee B. Song 86 192 0 09 Jun 2022
FastFlow: Unsupervised Anomaly Detection and Localization via 2D Normalizing Flows Jiawei Yu1 Ye Zheng Xiang Wang Wei Li Yushuang Wu Rui Zhao Liwei Wu 59 310 0 15 Nov 2021
Towards Total Recall in Industrial Anomaly Detection Karsten Roth Latha Pemula J. Zepeda Bernhard Schölkopf Thomas Brox Peter V. Gehler UQCV 83 910 0 15 Jun 2021
PaDiM: a Patch Distribution Modeling Framework for Anomaly Detection and Localization Thomas Defard Aleksandr Setkov Angélique Loesch Romaric Audigier UQCV 77 838 0 17 Nov 2020