Sequential Variational Autoencoder with Adversarial Classifier for Video Disentanglement
In this paper, we propose a sequential variational autoencoder for video disentanglement, which is a representation learning method that can be used to separately extract static and dynamic features from videos. Building sequential variational autoencoders with a two-stream architecture induces indu...
Salvato in:
| Autori principali: | , , |
|---|---|
| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
MDPI AG
2023-02-01
|
| Serie: | Sensors |
| Soggetti: | |
| Accesso online: | https://www.mdpi.com/1424-8220/23/5/2515 |
| Tags: |
Nessun Tag, puoi essere il primo ad aggiungerne!!
|