Cognitive Refined Augmentation for Video Anomaly Detection in Weak Supervision

Cognitive Refined Augmentation for Video Anomaly Detection in Weak Supervision

Weakly supervised video anomaly detection is a methodology that assesses anomaly levels in individual frames based on labeled video data. Anomaly scores are computed by evaluating the deviation of distances derived from frames in an unbiased state. Weakly supervised video anomaly detection encounter...

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Bibliographic Details
Main Authors:	Junyeop Lee, Hyunbon Koo, Seongjun Kim, Hanseok Ko
Format:	Article
Language:	English
Published:	MDPI AG 2023-12-01
Series:	Sensors
Subjects:	weakly supervised video anomaly detection feature augmentation multiple instance learning
Online Access:	https://www.mdpi.com/1424-8220/24/1/58

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