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2012.11113
Cited By
Improving unsupervised anomaly localization by applying multi-scale memories to autoencoders
21 December 2020
Yifei Yang
Shibing Xiang
Ruixiang Zhang
Re-assign community
ArXiv (abs)
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Papers citing
"Improving unsupervised anomaly localization by applying multi-scale memories to autoencoders"
5 / 5 papers shown
PathoSCOPE: Few-Shot Pathology Detection via Self-Supervised Contrastive Learning and Pathology-Informed Synthetic Embeddings
Sinchee Chin
Yinuo Ma
Xiaochen Yang
Jing-Hao Xue
Wenming Yang
SSL
MedIm
250
0
0
23 May 2025
Memory Efficient Continual Learning for Edge-Based Visual Anomaly Detection
Manuel Barusco
Lorenzo DÁntoni
Davide Dalle Pezze
Francesco Borsatti
Gian Antonio Susto
286
2
0
04 Mar 2025
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
289
10
0
19 Mar 2024
A deep learning approach for detection and localization of leaf anomalies
David M. Calabro
Massimiliano Lupo Pasini
Nicola Ferro
S. Perotto
145
1
0
07 Oct 2022
Deep Learning for Unsupervised Anomaly Localization in Industrial Images: A Survey
IEEE Transactions on Instrumentation and Measurement (IEEE Trans. Instrum. Meas.), 2022
Xian Tao
Xinyi Gong
X. Zhang
Shaohua Yan
Chandranath Adak
UQCV
244
218
0
21 Jul 2022
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