Learning Prompt-Enhanced Context Features for Weakly-Supervised Video Anomaly Detection

Weakly supervised video anomaly detection aims to locate abnormal activities in untrimmed videos without the need for frame-level supervision. Prior work has utilized graph convolution networks or self-attention mechanisms alongside multiple instance learning (MIL)-based classification loss to model...

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Publié dans:	IEEE transactions on image processing : a publication of the IEEE Signal Processing Society. - 1992. - 33(2024) vom: 01., Seite 4923-4936
Auteur principal:	Pu, Yujiang (Auteur)
Autres auteurs:	Wu, Xiaoyu, Yang, Lulu, Wang, Shengjin
Format:	Article en ligne
Langue:	English
Publié:	2024
Accès à la collection:	IEEE transactions on image processing : a publication of the IEEE Signal Processing Society
Sujets:	Journal Article