A Kalman Variational Autoencoder Model Assisted by Odometric Clustering for Video Frame Prediction and Anomaly Detection-Reference-Cited by-同舟云学术

A Kalman Variational Autoencoder Model Assisted by Odometric Clustering for Video Frame Prediction and Anomaly Detection

Author:

Slavic Giulia¹^ORCID,Alemaw Abrham Shiferaw¹,Marcenaro Lucio²^ORCID,Martin Gomez David³^ORCID,Regazzoni Carlo²^ORCID

Affiliation:

1. Department of Electrical, Electronics and Telecommunication Engineering and Naval Architecture (DITEN), University of Genoa, Genoa, Italy

2. National, Inter-University Consortium for Telecommunications (CNIT), Genoa, Italy

3. Department of Systems Engineering and Automation, Universidad Carlos III de Madrid, Leganés, Spain

Funder

Spanish Government

Comunidad de Madrid

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computer Graphics and Computer-Aided Design,Software

Link

Reference44 articles.

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4. Dynamical variational autoencoders: A comprehensive review;girin;arXiv 2008 12595,2020

5. Generative adversarial nets;goodfellow;Proc Adv Neural Inf Process Syst,2014

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