Generalized video anomaly event detection: Systematic taxonomy and comparison of deep models
Video Anomaly Detection (VAD) serves as a pivotal technology in the intelligent surveillance
systems, enabling the temporal or spatial identification of anomalous events within videos …
systems, enabling the temporal or spatial identification of anomalous events within videos …
Vadclip: Adapting vision-language models for weakly supervised video anomaly detection
The recent contrastive language-image pre-training (CLIP) model has shown great success
in a wide range of image-level tasks, revealing remarkable ability for learning powerful …
in a wide range of image-level tasks, revealing remarkable ability for learning powerful …
Open-vocabulary video anomaly detection
Current video anomaly detection (VAD) approaches with weak supervisions are inherently
limited to a closed-set setting and may struggle in open-world applications where there can …
limited to a closed-set setting and may struggle in open-world applications where there can …
Deep learning for video anomaly detection: A review
Video anomaly detection (VAD) aims to discover behaviors or events deviating from the
normality in videos. As a long-standing task in the field of computer vision, VAD has …
normality in videos. As a long-standing task in the field of computer vision, VAD has …
Weakly supervised video anomaly detection and localization with spatio-temporal prompts
Current weakly supervised video anomaly detection (WSVAD) task aims to achieve frame-
level anomalous event detection with only coarse video-level annotations available. Existing …
level anomalous event detection with only coarse video-level annotations available. Existing …
BAVS: bootstrapping audio-visual segmentation by integrating foundation knowledge
Given an audio-visual pair, audio-visual segmentation (AVS) aims to locate sounding
sources by predicting pixel-wise maps. Previous methods assume that each sound …
sources by predicting pixel-wise maps. Previous methods assume that each sound …
A novel tree pattern-based violence detection model using audio signals
Physical violence detection using multimedia data is crucial for public safety and security.
This is an important research area in information security and digital forensics. Research in …
This is an important research area in information security and digital forensics. Research in …
FTCF: Full temporal cross fusion network for violence detection in videos
T Zhenhua, X Zhenche, W Pengfei, D Chang… - Applied …, 2023 - Springer
Automatic violence detection in video is a meaningful yet challenging task. Violent actions
can be characterized both by intense sequential frames and by continuous spatial moves …
can be characterized both by intense sequential frames and by continuous spatial moves …
GOL-SFSTS based few-shot learning mechanical anomaly detection using multi-channel audio signal
F Zou, X Li, Y Li, S Sang, M Jiang, H Zhang - Knowledge-Based Systems, 2024 - Elsevier
Anomaly detection has become an essential component of mechanical equipment
preventive maintenance. When encountered in complicated industrial and military …
preventive maintenance. When encountered in complicated industrial and military …
A lightweight video anomaly detection model with weak supervision and adaptive instance selection
Video anomaly detection is to determine whether there are any abnormal events, behaviors
or objects in a given video, which enables effective and intelligent public safety …
or objects in a given video, which enables effective and intelligent public safety …