Deep graph anomaly detection: A survey and new perspectives
Graph anomaly detection (GAD), which aims to identify unusual graph instances (nodes,
edges, subgraphs, or graphs), has attracted increasing attention in recent years due to its …
edges, subgraphs, or graphs), has attracted increasing attention in recent years due to its …
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 …
Quo Vadis, Anomaly Detection? LLMs and VLMs in the Spotlight
Video anomaly detection (VAD) has witnessed significant advancements through the
integration of large language models (LLMs) and vision-language models (VLMs) …
integration of large language models (LLMs) and vision-language models (VLMs) …
From explicit rules to implicit reasoning in an interpretable violence monitoring system
Recently, research based on pre-trained models has demonstrated outstanding
performance in violence surveillance tasks. However, most of them were black-box systems …
performance in violence surveillance tasks. However, most of them were black-box systems …
Injecting Explainability and Lightweight Design into Weakly Supervised Video Anomaly Detection Systems
WD Jiang, CY Chang, HC Chang, JY Chen… - arxiv preprint arxiv …, 2024 - arxiv.org
Weakly Supervised Monitoring Anomaly Detection (WSMAD) utilizes weak supervision
learning to identify anomalies, a critical task for smart city monitoring. However, existing …
learning to identify anomalies, a critical task for smart city monitoring. However, existing …
PLOVAD: Prompting Vision-Language Models for Open Vocabulary Video Anomaly Detection
C Xu, K Xu, X Jiang, T Sun - … on Circuits and Systems for Video …, 2025 - ieeexplore.ieee.org
Video anomaly detection (VAD) confronts significant challenges arising from data scarcity in
real-world open scenarios, encompassing sparse annotations, labeling costs, and …
real-world open scenarios, encompassing sparse annotations, labeling costs, and …
Detection, Retrieval, and Explanation Unified: A Violence Detection System Based on Knowledge Graphs and GAT
Recently, violence detection systems developed using unified multimodal models have
achieved significant success and attracted widespread attention. However, most of these …
achieved significant success and attracted widespread attention. However, most of these …