Continual Learning Approaches for Anomaly Detection

Continual Learning Approaches for Anomaly Detection

21 December 2022

Davide Dalle Pezze

Gian Antonio Susto

Papers citing "Continual Learning Approaches for Anomaly Detection"

6 / 6 papers shown

Title
Memory Efficient Continual Learning for Edge-Based Visual Anomaly Detection Manuel Barusco Lorenzo DÁntoni Davide Dalle Pezze Francesco Borsatti Gian Antonio Susto 58 0 0 04 Mar 2025
Latent Distillation for Continual Object Detection at the Edge Francesco Pasti Marina Ceccon Davide Dalle Pezze Francesco Paissan Elisabetta Farella Gian Antonio Susto Nicola Bellotto 40 4 0 03 Sep 2024
Unveiling the Anomalies in an Ever-Changing World: A Benchmark for Pixel-Level Anomaly Detection in Continual Learning Nikola Bugarin Jovana Bugaric Manuel Barusco Davide Dalle Pezze Gian Antonio Susto 49 4 0 19 Mar 2024
Online Continual Learning via the Meta-learning Update with Multi-scale Knowledge Distillation and Data Augmentation Ya-nan Han Jian-wei Liu KELM CLL 38 10 0 12 Sep 2022
Regularization-based Continual Learning for Anomaly Detection in Discrete Manufacturing Benjamin Maschler T. Pham M. Weyrich 38 32 0 02 Jan 2021
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