| Divide and Conquer in Video Anomaly Detection: A Comprehensive Review and New Approach | ✓ Link | 87.72% | | | DAC(STG-NF + Jigsaw) | 2023-09-26 |
| MULDE: Multiscale Log-Density Estimation via Denoising Score Matching for Video Anomaly Detection | ✓ Link | 86.7% | | | MULDE-object-centric-micro | 2024-03-21 |
| An Attribute-based Method for Video Anomaly Detection | ✓ Link | 85.94% | | | AI-VAD | 2022-12-01 |
| Normalizing Flows for Human Pose Anomaly Detection | ✓ Link | 85.9% | | | STG-NF | 2022-11-20 |
| Follow the Rules: Reasoning for Video Anomaly Detection with Large Language Models | ✓ Link | 85.2% | | | AnomalyRuler | 2024-07-14 |
| VideoPatchCore: An Effective Method to Memorize Normality for Video Anomaly Detection | ✓ Link | 85.1% | | | VideoPatchCore | 2024-09-24 |
| Video Anomaly Detection by Solving Decoupled Spatio-Temporal Jigsaw Puzzles | ✓ Link | 84.3% | | | Jigsaw-VAD | 2022-07-20 |
| SSMTL++: Revisiting Self-Supervised Multi-Task Learning for Video Anomaly Detection | | 83.8% | 47.10 | 85.60 | SSMTL++v2 | 2022-07-16 |
| UBnormal: New Benchmark for Supervised Open-Set Video Anomaly Detection | ✓ Link | 83.7% | 47.15 | 86.15 | SSMTL+UBnormal | 2021-11-16 |
| Context Recovery and Knowledge Retrieval: A Novel Two-Stream Framework for Video Anomaly Detection | ✓ Link | 83.7% | | | two-stream | 2022-09-07 |
| Self-Supervised Masked Convolutional Transformer Block for Anomaly Detection | ✓ Link | 83.6% | 47.73 | 85.65 | SSMTL+++SSMCTB | 2022-09-25 |
| Self-Supervised Predictive Convolutional Attentive Block for Anomaly Detection | ✓ Link | 83.6% | | | Background- Agnostic Framework+SSPCAB | 2021-11-17 |
| Regularity Learning via Explicit Distribution Modeling for Skeletal Video Anomaly Detection | ✓ Link | 83.35 | | | MoPRL | 2021-12-07 |
| SSMTL++: Revisiting Self-Supervised Multi-Task Learning for Video Anomaly Detection | | 82.9% | 43.2 | 84.1 | SSMTL++v1 | 2022-07-16 |
| A Background-Agnostic Framework with Adversarial Training for Abnormal Event Detection in Video | ✓ Link | 82.7% | | | Background-Agnostic Framework | 2020-08-27 |
| Anomaly Detection in Video via Self-Supervised and Multi-Task Learning | ✓ Link | 82.4% | | | SSMTL | 2020-11-15 |
| MULDE: Multiscale Log-Density Estimation via Denoising Score Matching for Video Anomaly Detection | ✓ Link | 81.3% | | | MULDE-frame-centric-micro | 2024-03-21 |
| An Exploratory Study on Human-Centric Video Anomaly Detection through Variational Autoencoders and Trajectory Prediction | ✓ Link | 80.6% | | | TSGAD | 2024-04-29 |
| Diversity-Measurable Anomaly Detection | ✓ Link | 78.8% | | | DMAD | 2023-03-09 |
| Object-centric Auto-encoders and Dummy Anomalies for Abnormal Event Detection in Video | ✓ Link | 78.7% | | | Object-centric AE | 2018-12-11 |
| Spatio-temporal predictive tasks for abnormal event detection in videos | | 77.1% | 51.6 | 84.6 | STPT | 2022-10-27 |
| EVAL: Explainable Video Anomaly Localization | | 76.63% | 59.21 | 89.44 | EVAL | 2022-12-15 |
| Making Anomalies More Anomalous: Video Anomaly Detection Using a Novel Generator and Destroyer | ✓ Link | 76.5% | | | MAMA | 2024-02-26 |
| STAN: Spatio-Temporal Adversarial Networks for Abnormal Event Detection | | 76.2% | | | STAN | 2018-04-23 |
| Multi-timescale Trajectory Prediction for Abnormal Human Activity Detection | | 76.03% | | | Multi-timescale Prediction | 2019-08-12 |
| Attention-based residual autoencoder for video anomaly detection | ✓ Link | 73.6 | | | ASTNet | 2022-05-25 |
| Learning Regularity in Skeleton Trajectories for Anomaly Detection in Videos | ✓ Link | 73.40% | | | MPED-RNN | 2019-03-08 |
| Any-Shot Sequential Anomaly Detection in Surveillance Videos | | 71.6% | | | Any-Shot Sequential | 2020-04-05 |
| A Revisit of Sparse Coding Based Anomaly Detection in Stacked RNN Framework | ✓ Link | 68.0% | | | Sparse Coding Stacked RNN | 2017-10-01 |
| Bounding Boxes and Probabilistic Graphical Models: Video Anomaly Detection Simplified | ✓ Link | 61.28% | 45.40 | 81.87 | PGM | 2024-07-08 |
| Self-Supervised Predictive Convolutional Attentive Block for Anomaly Detection | ✓ Link | | 45.45 | 84.50 | HF2VAD+SSPCAB | 2021-11-17 |