Awesomme Video Anomaly Detection

Related works

HSTforU: See HSTforU: Anomaly Detection in Aerial and Ground-based Videos with Hierarchical Spatio-Temporal Transformer for U-net .

ASTNet: See ASTNet: Attention-based Residual Autoencoder for Video Anomaly Detection.

Title	Date	Venue	Task	Resource	Model
Ada-VAD: Domain Adaptable Video Anomaly Detection	2024	C-SIAM			Model
Attention-guided generator with dual discriminator GAN for real-time video anomaly detection	2024	J-EAAI			Model
Video anomaly detection guided by clustering learning	2024	J-PR			Model
Toward Video Anomaly Retrieval From Video Anomaly Detection: New Benchmarks and Model	2024	J-ITIP		-	Model
Multi-Scale Video Anomaly Detection by Multi-Grained Spatio-Temporal Representation Learning	2024	C-CVPR		-	Model
Follow the Rules: Reasoning for Video Anomaly Detection with Large Language Models	2024	C-ECCV			Model
Video Anomaly Detection and Explanation via Large Language Models	2024	arxiv		-	Model
Context-aware Video Anomaly Detection in Long-Term Datasets	2024	C-CVPR		-	Model
Harnessing Large Language Models for Training-free Video Anomaly Detection	2024	C-CVPR			Model
Video anomaly detection guided by clustering learning	2024	J-PR			Model
Attention-guided generator with dual discriminator GAN for real-time video anomaly detection	2024	J-EPAI			Model
Context Recovery and Knowledge Retrieval: A Novel Two-Stream Framework for Video Anomaly Detection	2024	J-TIP		-	Model
Contracting skeletal kinematics for human-related video anomaly detection	2024	J-PR			Model
A Coarse-to-Fine Pseudo-Labeling (C2FPL) Framework for Unsupervised Video Anomaly Detection	2024	C-WACV			Model
Dual GroupGAN: An unsupervised four-competitor (2V2) approach for video anomaly detection	2024	J-PR		-	Model
Multi-Scale Video Anomaly Detection by Multi-Grained Spatio-Temporal Representation Learning	2024	C-CVPR		-	Model
Collaborative Learning of Anomalies with Privacy (CLAP) for Unsupervised Video Anomaly Detection: A New Baseline	2024	C-CVPR			Model
Ada-VAD: Domain Adaptable Video Anomaly Detection	2024	?			Model
Cross-modality integration framework with prediction, perception and discrimination for video anomaly detection	2024	J-NN		-	Model
MULDE: Multiscale Log-Density Estimation via Denoising Score Matching for Video Anomaly Detection	2024	C-CVPR			Model
Memory-enhanced appearance-motion consistency framework for video anomaly detection	2024	J-CC		-	Model
Enhancing Video Anomaly Detection Using Spatio-Temporal Autoencoders and Convolutional LSTM Networks	2024	J-SNCS		-	Model
Spatially Aware Fusion in 3D Convolutional Autoencoders for Video Anomaly Detection	2024	J-IA		-	Model
Anomaly detection in surveillance videos using deep autoencoder	2024	J-IJIT		-	Model
CVAD-GAN: Constrained video anomaly detection via generative adversarial network	2024	J-IVC			Model
Self-Distilled Masked Auto-Encoders are Efficient Video Anomaly Detectors	2024	C-CVPR			Model
VADiffusion: Compressed Domain Information Guided Conditional Diffusion for Video Anomaly Detection	2024	J-ITCaSfV			Model
A deep learning-assisted visual attention mechanism for anomaly detection in videos	2024	J-MTnA		-	Model
Delving into CLIP latent space for Video Anomaly Recognition	2024	J-CVnIU			Model
An Exploratory Study on Human-Centric Video Anomaly Detection through Variational Autoencoders and Trajectory Prediction	2024	C-WACV			Model
Holistic Representation Learning for Multitask Trajectory Anomaly Detection	2024	C-WACV			Model
Deep learning based anomaly detection in real‑time video	2024	J-MTnA		-	Model
DAST-Net: Dense visual attention augmented spatio-temporal network for unsupervised video anomaly detection	2024	J-NC		-	Model
ANOMALY DETECTION IN SATELLITE VIDEOS USING DIFFUSION MODELS	2024	C-WMSP			Model
Evolving graph-based video crowd anomaly detection	2024	J-TVC		-	Model
Feature Reconstruction With Disruption for Unsupervised Video Anomaly Detection	2024	J-IToMs			Model
Cognition Guided Video Anomaly Detection Framework for Surveillance Services	2024	J-IEoSC			Model
An informative dual ForkNet for video anomaly detection	2024	J-NN		-	Model
MCANet: Multimodal Caption Aware Training-Free Video Anomaly Detection via Large Language Model	2024	C-PR		-	Model
Open-Vocabulary Video Anomaly Detection	2024	C-CVPR		-	Model
Video Anomaly Detection and Explanation via Large Language Models	2024	ArXiv		-	Model
Harnessing Large Language Models for Training-free Video Anomaly Detection	2024	C-CVPR			Model
Follow the Rules: Reasoning for Video Anomaly Detection with Large Language Models	2024	C-ECCV			Model
VadCLIP: Adapting Vision-Language Models for Weakly Supervised Video Anomaly Detection	2024	C-AAAI			Model
Video Anomaly Detection via Spatio-Temporal Pseudo-Anomaly Generation : A Unified Approach	2024	C-CVPR			Model
Video anomaly detection with both normal and anomaly memory modules	2024	J-TVC			Model
Video anomaly detection based on multi-scale optical flow spatio-temporal enhancement and normality mining	2024	J-MLC		-	Model
Generate anomalies from normal: a partial pseudo-anomaly augmented approach for video anomaly detection	2024	J-TVC			Model
CroSA: Unsupervised domain adaptation abnormal behavior detection via cross-space alignment	2024	J-ESWA		-	Model
A novel spatio-temporal memory network for video anomaly detection	2024	J-MTnA		-	Model
AADC-Net: A Multimodal Deep Learning Framework for Automatic Anomaly Detection in Real-Time Surveillance	2025	J-TIM		-	Model
STAD-AI: Spatio-Temporal Anomaly Detection in Videos with Attentive Dual-Stage Integration	2025	J-N		-	Model
A Region based Salient Stacking Optimized Detector (ReSOD) for an effective anomaly detection and video tracking in surveillance systems	2025	J-N		-	Model
Prototype-guided and dynamic-aware video anomaly detection	2025	J-NN		-	Model
AVadCLIP: Audio-Visual Collaboration for Robust Video Anomaly Detection	2025	C-arXiv		-	Model
VADMamba: Exploring State Space Models for Fast Video Anomaly Detection	2025	C-arXiv			Model
A Region based Salient Stacking Optimized Detector (ReSOD) for an effective anomaly detection and video tracking in surveillance systems	2025	J-N		-	Model
STVAD: A Lightweight Spatio–Temporal Attention Network for Video Anomaly Detection	2025	J-TCSS		-	Model
Video anomaly detection with motion and appearance guided patch diffusion model	2025	C-AAAI		-	Model
HSTforU: anomaly detection in aerial and ground-based videos with hierarchical spatio-temporal transformer for U-net	2025	J-AI			Model
Fast video anomaly detection via context-aware shortcut exploration and abnormal feature distance learning	2025	J-PR			Model
AnyAnomaly: Zero-Shot Customizable Video Anomaly Detection with LVLM	2025	ArXiv			Model
Video Anomaly Detection via self-supervised and spatio-temporal proxy tasks learning	2025	J-PR		-	Model
A multi-memory-augmented network with a curvy metric method for video anomaly detection	2025	J-NN		-	Model
Learning a multi-cluster memory prototype for unsupervised video anomaly detection	2025	J-IS			Model
Deep video anomaly detection in automated laboratory setting	2025	J-ESWA		-	Model
Adversarial diffusion for few-shot scene adaptive video anomaly detection	2025	J-N		-	Model
Spatio-temporal graph-based self-labeling for video anomaly detection	2025	J-N		-	Model
SSIM over MSE: A new perspective for video anomaly detection	2025	J-NN			Model
Rethinking prediction-based video anomaly detection from local–global normality perspective	2025	J-ESWA			Model
AnomLite: Efficient binary and multiclass video anomaly detection	2025	J-RiE			Model
Audio-Visual Collaborative Learning for Weakly Supervised Video Anomaly Detection	2025	C-CVPR		-	Model
Language-guided Open-world Video Anomaly Detection	2025	ArXiv		-	Model
A video anomaly detection framework based on feature-strengthened and memory feature-ernhanced reconstruction	2025	J-MS		-	Model
A lightweight video anomaly detection model with weak supervision and adaptive instance selection	2025	J-N		-	Model
Retrieving and Reasoning: Multivariate Feature and Attribute Cooperation for Video Anomaly Detection	2025	J-I_SPL		-	Model
FDC-Net: foreground dynamic capture with deep feature enhancement for video anomaly detection	2025	J-MS		-	Model
Drone Video Anomaly Detection by Future Segmentation Prediction and Spatio- Temporal Relational Modeling	2025	J-IE		-	Model
Learning dual updatable memory modules for video anomaly detection	2025	J-MS		-	Model
Time-Efficient Video Anomaly Detection With Parallel Computing and Twice-Reconstruction	2025	J-ISJ		-	Model
Crowd Anomaly Detection From Drone and Ground	2025	J-IE			Model
Spatial–temporal sequential network for anomaly detection based on long short-term magnitude representation	2025	J-InVC		-	Model
Probabilistic memory auto-encoding network for abnormal behavior detection in surveillance video	2025	J-NN		-	Model
Human pose feature enhancement for human anomaly detection and tracking	2025	C-IJoIT		-	Model
VERA: Explainable Video Anomaly Detection via Verbalized Learning of Vision-Language Models	2025	C-CVPR			Model
A video anomaly detection framework based on semantic consistency and multi-attribute feature complementarity	2025	J-PR			Model
MSTAgent-VAD: Multi-scale video anomaly detection using time agent mechanism for segments’ temporal context mining	2025	J-ESWA		-	Model
PLOVAD: Prompting Vision-Language Models for Open Vocabulary Video Anomaly Detection	2025	J-TCSVT			Model
UCF-Crime-DVS: A Novel Event-Based Dataset for Video Anomaly Detection with Spiking Neural Networks	2025	C-AAAI			Model
CRCL: Causal Representation Consistency Learning for Anomaly Detection in Surveillance Videos	2025	J-TIP		-	Model
Delving Into Instance Modeling for Weakly Supervised Video Anomaly Detection	2025	J-TCSV		-	Model
SUVAD: Semantic Understanding Based Video Anomaly Detection Using MLLM	2025	C-ICASSP		-	Model
Autoregressive Denoising Score Matching is a Good Video Anomaly Detector	2025	C-ArXiv			Model
FDC-Net: foreground dynamic capture with deep feature enhancement for video anomaly detection	2025	J-MS		-	Model
MMVAD: A vision–language model for cross-domain video anomaly detection with contrastive learning and scale-adaptive frame segmentation	2025	J-ESWA		-	Model
Dual-Stage attention mechanism for robust video anomaly detection and localization	2025	J-SIVP		-	Model
A novel video anomaly detection using hybrid sand cat Swarm optimization with backpropagation neural network by UCSD Ped 1 dataset	2025	C-ICASSP		-	Model
SUVAD: Semantic Understanding Based Video Anomaly Detection Using MLLM	2025	J-ArXiv		-	Model
DAMS:Dual-Branch Adaptive Multiscale Spatiotemporal Framework for Video Anomaly Detection	2025	J-ArXiv		-	Model
Deep Learning for Anomaly Detection: A CNN-LSTM Autoencoder Approach	2025	C-CACCT		-	Model
Spatio-temporal graph-based self-labeling for video anomaly detection	2025	J-N		-	Model
Human pose feature enhancement for human anomaly detection and tracking	2025	J-IT		-	Model
Graph-Jigsaw Conditioned Diffusion Model for Skeleton-Based Video Anomaly Detection	2025	C-WACV		-	Model
Semi-supervised Video Anomaly Detection With Compact Deformable 3D Convolution	2025	C-ICASSP		-	Model
Time-Efficient Video Anomaly Detection With Parallel Computing and Twice-Reconstruction	2025	J-SJ		-	Model

🚀 🚀 🚀

Weakly Supervised VAD

Title	Date	Venue	Task	Resource	Model
BatchNorm-based Weakly Supervised Video Anomaly Detection	2024	J-IToCnSVT			Model
VadCLIP: Adapting Vision-Language Models for Weakly Supervised Video Anomaly Detection	2024	C-AAAI			Model
Open-Vocabulary Video Anomaly Detection	2024	C-CVPR		-	Model
Text Prompt with Normality Guidance for Weakly Supervised Video Anomaly Detection	2024	C-CVPR		-	Model
Weakly Supervised Video Anomaly Detection and Localization with Spatio-Temporal Prompts	2024	C-ACM ICoM		-	Model
Learning Prompt-Enhanced Context Features for Weakly-Supervised Video Anomaly Detection	2024	J-IRoIP			Model
BatchNorm-based Weakly Supervised Video Anomaly Detection	2024	J-IToCnSfVT			Model
Text Prompt with Normality Guidance for Weakly Supervised Video Anomaly Detection	2024	C-CVPR			Model
Learning Prompt-Enhanced Context Features for Weakly-Supervised Video Anomaly Detection	2024	J-IToIP			Model
Real-Time Weakly Supervised Video Anomaly Detection	2024	C-WACV		-	Model
Overlooked Video Classification in Weakly Supervised Video Anomaly Detection	2024	C-WACV			Model
Prompt-Enhanced Multiple Instance Learning for Weakly Supervised Video Anomaly Detection	2024	C-CVPR			Model
Cross-Modal Fusion and Attention Mechanism for Weakly Supervised Video Anomaly Detection	2024	C-CVPR		-	Model
GlanceVAD: Exploring Glance Supervision for Label-efficient Video Anomaly Detection	2024	C-CVPR			Model
TDSD: Text-Driven Scene-Decoupled Weakly Supervised Video Anomaly Detection	2024	C-CVPR			Model
A Multi-Head Approach with Shuffled Segments for Weakly-Supervised Video Anomaly Detection	2024	C-WACV		-	Model
Diffusion-based normality pre-training for weakly supervised video anomaly detection	2024	J-ESWA		-	Model
OE-CTST: Outlier-Embedded Cross Temporal Scale Transformer for Weakly-supervised Video Anomaly Detection	2024	C-WACV		-	Model
VPE-WSVAD: Visual prompt exemplars for weakly-supervised video anomaly detection	2024	J-KBS			Model
BatchNorm-Based Weakly Supervised Video Anomaly Detection	2024	C-CVPR			Model
Text Prompt with Normality Guidance for Weakly Supervised Video Anomaly Detection	2024	C-CVPR		-	Model
BatchNorm-Based Weakly Supervised Video Anomaly Detection	2024	C-CVPR			Model
Transformer-enabled weakly supervised abnormal event detection in intelligent video surveillance systems	2024	J-EAAI			Model
Dual-Detector Reoptimization for Federated Weakly Supervised Video Anomaly Detection via Adaptive Dynamic Recursive Mapping	2025	J-TII		-	Model
ProDisc-VAD: An Efficient System for Weakly-Supervised Anomaly Detection in Video Surveillance Applications	2025	C-ArXiv			Model
Anomaly-aware self-supervised feature learning for weakly supervised video anomaly detection	2025	J-CVIU		-	Model
Multimodal Evidential Learning for Open-World Weakly-Supervised Video Anomaly Detection	2025	C-CVPR		-	Model
Federated Weakly Supervised Video Anomaly Detection with Multimodal Prompt	2025	C-AAAI			Model
Federated weakly-supervised video anomaly detection with mixture of local-to-global experts	2025	J-IF		-	Model
Positive and unlabeled learning on generating strategy for weakly anomaly detection	2025	J-SInVP		-	Model
Semantic-driven dual consistency learning for weakly supervised video anomaly detection	2025	J-PR		-	Model
Distilling Aggregated Knowledge for Weakly-Supervised Video Anomaly Detection	2025	C-WACV		-	Model
Dual Distillation Fusion for Weakly Supervised Anomaly Detection in Surveillance Videos	2025	J-TCSVT		-	Model
Dual-Detector Reoptimization for Federated Weakly Supervised Video Anomaly Detection via Adaptive Dynamic Recursive Mapping	2025	J-TII		-	Model

🚀 🚀 🚀

Surveys

Title	Date	Venue	Task	Resource	Model
Skeletal Video Anomaly Detection Using Deep Learning: Survey, Challenges, and Future Directions	2024	J-IToETiCI		-	Model
Video anomaly detection: A systematic review of issues and prospects	2024	J-NC		-	Model
A survey on deep learning-based real-time crowd anomaly detection for secure distributed video surveillance	2024	J-PnUC		-	Model
A critical study on the recent deep learning based semi-supervised video anomaly detection methods	2024	J-MTnA		-	Model
A comprehensive review of datasets for detection and localization of video anomalies: a step towards data-centric artificial intelligence-based video anomaly detection	2024	J-MTnA		-	Model
Networking Systems for Video Anomaly Detection: A Tutorial and Survey	2024	C-X			Model
Video anomaly detection: A systematic review of issues and prospects	2024	J-N		-	Model
Deep learning for video anomaly detection: A review	2024	arXiv		-	Model
A Survey on Diffusion Models for Anomaly Detection	2025	ArXiv			Model
Deep crowd anomaly detection: state-of-the-art, challenges, and future research directions	2025	J-AIR		-	Model
A Survey on Diffusion Models for Anomaly Detection	2025	J-ArXiv			Model

🚀 🚀 🚀

New VAD Datasets

Title	Date	Venue	Task	Resource	Model
Advancing Video Anomaly Detection: A Concise Review and a New Dataset	2024	J-X			Model

🚀 🚀 🚀