Dual-Stream Attention-Enhanced Memory Networks for Video Anomaly Detection
Weakly supervised video anomaly detection (WSVAD) aims to identify unusual events using only video-level labels. However, current methods face several key challenges, including ineffective modelling of complex temporal dependencies, indistinct feature boundaries between visually similar normal and a...
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| Principais autores: | , , , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado: |
MDPI AG
2025-09-01
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| Series: | Sensors |
| Assuntos: | |
| Acceso en liña: | https://www.mdpi.com/1424-8220/25/17/5496 |
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