:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Wu, Peng, Liu, Jing, He, Xiangteng, Peng, Yuxin, Wang, Peng, Zhang, Yanning
Format:	Preprint
Published:	2023
Subjects:	Computer Vision and Pattern Recognition Artificial Intelligence
Online Access:	https://arxiv.org/abs/2307.12545
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Deep Learning for Video Anomaly Detection: A Review
by: Wu, Peng, et al.
Published: (2024)

Weakly Supervised Video Anomaly Detection and Localization with Spatio-Temporal Prompts
by: Wu, Peng, et al.
Published: (2024)

Open-Vocabulary Video Anomaly Detection
by: Wu, Peng, et al.
Published: (2023)

Towards Video Anomaly Detection from Event Streams: A Baseline and Benchmark Datasets
by: Wu, Peng, et al.
Published: (2026)

Rethinking Metrics and Benchmarks of Video Anomaly Detection
by: Liu, Zihao, et al.
Published: (2025)

GV-VAD : Exploring Video Generation for Weakly-Supervised Video Anomaly Detection
by: Cai, Suhang, et al.
Published: (2025)

Towards Efficient Pixel Labeling for Industrial Anomaly Detection and Localization
by: Wu, Jingqi, et al.
Published: (2025)

Networking Systems for Video Anomaly Detection: A Tutorial and Survey
by: Liu, Jing, et al.
Published: (2024)

Towards Adaptive Human-centric Video Anomaly Detection: A Comprehensive Framework and A New Benchmark
by: Pazho, Armin Danesh, et al.
Published: (2024)

SlowFastVAD: Video Anomaly Detection via Integrating Simple Detector and RAG-Enhanced Vision-Language Model
by: Ding, Zongcan, et al.
Published: (2025)

No Need For Real Anomaly: MLLM Empowered Zero-Shot Video Anomaly Detection
by: Dai, Zunkai, et al.
Published: (2026)

Pistachio: Towards Synthetic, Balanced, and Long-Form Video Anomaly Benchmarks
by: Li, Jie, et al.
Published: (2025)

Dynamic Distinction Learning: Adaptive Pseudo Anomalies for Video Anomaly Detection
by: Lappas, Demetris, et al.
Published: (2024)

Unlocking Vision-Language Models for Video Anomaly Detection via Fine-Grained Prompting
by: Zou, Shu, et al.
Published: (2025)

MMVIAD: Multi-view Multi-task Video Understanding for Industrial Anomaly Detection
by: Zhao, Xiran, et al.
Published: (2026)

Text Prompt with Normality Guidance for Weakly Supervised Video Anomaly Detection
by: Yang, Zhiwei, et al.
Published: (2024)

Uncovering What, Why and How: A Comprehensive Benchmark for Causation Understanding of Video Anomaly
by: Du, Hang, et al.
Published: (2024)

AVadCLIP: Audio-Visual Collaboration for Robust Video Anomaly Detection
by: Wu, Peng, et al.
Published: (2025)

URA-Net: Uncertainty-Integrated Anomaly Perception and Restoration Attention Network for Unsupervised Anomaly Detection
by: Luo, Wei, et al.
Published: (2026)

VERA: Explainable Video Anomaly Detection via Verbalized Learning of Vision-Language Models
by: Ye, Muchao, et al.
Published: (2024)

Video Anomaly Detection with Structured Keywords
by: Foltz, Thomas
Published: (2025)

Exploring What Why and How: A Multifaceted Benchmark for Causation Understanding of Video Anomaly
by: Du, Hang, et al.
Published: (2024)

Perception, Understanding and Reasoning, A Multimodal Benchmark for Video Fake News Detection
by: Yakun, Cui, et al.
Published: (2025)

DA-Flow: Dual Attention Normalizing Flow for Skeleton-based Video Anomaly Detection
by: Wu, Ruituo, et al.
Published: (2024)

Graph-Jigsaw Conditioned Diffusion Model for Skeleton-based Video Anomaly Detection
by: Karami, Ali, et al.
Published: (2024)

IM-IAD: Industrial Image Anomaly Detection Benchmark in Manufacturing
by: Xie, Guoyang, et al.
Published: (2023)

Geometry-Aware Semantic Reasoning for Training Free Video Anomaly Detection
by: Zia, Ali, et al.
Published: (2026)

ACMamba: Fast Unsupervised Anomaly Detection via An Asymmetrical Consensus State Space Model
by: Wang, Guanchun, et al.
Published: (2025)

Learn Suspected Anomalies from Event Prompts for Video Anomaly Detection
by: Tao, Chenchen, et al.
Published: (2024)

AssistPDA: An Online Video Surveillance Assistant for Video Anomaly Prediction, Detection, and Analysis
by: Yang, Zhiwei, et al.
Published: (2025)

Video Anomaly Detection via Spatio-Temporal Pseudo-Anomaly Generation : A Unified Approach
by: Rai, Ayush K., et al.
Published: (2023)

Enhancing Weakly Supervised Multimodal Video Anomaly Detection through Text Guidance
by: Sun, Shengyang, et al.
Published: (2026)

Injecting Explainability and Lightweight Design into Weakly Supervised Video Anomaly Detection Systems
by: Jiang, Wen-Dong, et al.
Published: (2024)

Knowledge-Guided Textual Reasoning for Explainable Video Anomaly Detection via LLMs
by: Lee, Hari
Published: (2025)

Low-Latency Video Anonymization for Crowd Anomaly Detection: Privacy Versus Performance
by: Asres, Mulugeta Weldezgina, et al.
Published: (2024)

H2VU-Benchmark: A Comprehensive Benchmark for Hierarchical Holistic Video Understanding
by: Wu, Qi, et al.
Published: (2025)

Watching, Reasoning, and Searching: A Video Deep Research Benchmark on Open Web for Agentic Video Reasoning
by: Liu, Chengwen, et al.
Published: (2026)

Privacy-Aware Video Anomaly Detection through Orthogonal Subspace Projection
by: Wang, Lei, et al.
Published: (2026)

Taxonomy-Aware Representation Alignment for Hierarchical Visual Recognition with Large Multimodal Models
by: He, Hulingxiao, et al.
Published: (2026)

Towards Scalable Video Anomaly Retrieval: A Synthetic Video-Text Benchmark
by: Yang, Shuyu, et al.
Published: (2025)