Enhancing Weakly-Supervised Video Anomaly Detection With Temporal Constraints

Anomaly Detection has been a significant field in Machine Learning since it began gaining traction. In the context of Computer Vision, the increased interest is notorious as it enables the development of video processing models for different tasks without the need for a cumbersome effort with the an...

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Bibliografiske detaljer

Principais autores:	Francisco Caetano, Pedro Carvalho, Christina Mastralexi, Jaime S. Cardoso
Format:	Artigo
Sprog:	Inglês
Udgivet:	IEEE 2025-01-01
Serier:	IEEE Access
Fag:	Multiple instance learning temporal constraints video anomaly detection weakly-supervised models
Online adgang:	https://ieeexplore.ieee.org/document/10965669/
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