| MULDE-object-centric-micro |
- AUC
- 94.3%
|
MULDE: Multiscale Log-Density Estimation via Denoising Score Matching for Video Anomaly Detection 2024-03-21 |
코드 1 |
| AMSRC |
- AUC
- 93.8%
|
A Video Anomaly Detection Framework based on Appearance-Motion Semantics Representation Consistency 2022-04-08 |
연결 없음 |
| SSMTL++v1 |
- AUC
- 93.7%
- RBDC
- 40.9
- TBDC
- 82.1
- FPS
- 20
|
SSMTL++: Revisiting Self-Supervised Multi-Task Learning for Video Anomaly Detection 2022-07-16 |
연결 없음 |
| AI-VAD |
- AUC
- 93.7%
|
An Attribute-based Method for Video Anomaly Detection 2022-12-01 |
코드 1 · 코드 2 · 코드 3 · 코드 4 |
| Background-Agnostic Framework+SSMCTB |
- AUC
- 93.2%
- RBDC
- 66.04
- TBDC
- 65.12
- FPS
- 24
|
Self-Supervised Masked Convolutional Transformer Block for Anomaly Detection 2022-09-25 |
코드 1 |
| SSMTL+UBnormal |
- AUC
- 93.0%
- RBDC
- 61.10
- TBDC
- 61.38
|
UBnormal: New Benchmark for Supervised Open-Set Video Anomaly Detection 2021-11-16 |
코드 1 |
| Background- Agnostic Framework+SSPCAB |
- AUC
- 92.9%
- RBDC
- 65.99
- FPS
- 24
|
Self-Supervised Predictive Convolutional Attentive Block for Anomaly Detection 2021-11-17 |
코드 1 · 코드 2 · 코드 3 · 코드 4 |
| DMAD |
- AUC
- 92.8%
|
Diversity-Measurable Anomaly Detection 2023-03-09 |
코드 1 |
| VideoPatchCore |
- AUC
- 92.8%
|
VideoPatchCore: An Effective Method to Memorize Normality for Video Anomaly Detection 2024-09-24 |
코드 1 |
| PGM |
- AUC
- 92.72%
- RBDC
- 60.18
- TBDC
- 72.09
|
Bounding Boxes and Probabilistic Graphical Models: Video Anomaly Detection Simplified 2024-07-08 |
코드 1 |
| Background-Agnostic Framework |
- AUC
- 92.3%
- RBDC
- 65.05
- TBDC
- 66.85
- FPS
- 25
|
A Background-Agnostic Framework with Adversarial Training for Abnormal Event Detection in Video 2020-08-27 |
코드 1 · 코드 2 |
| SSMTL++v2 |
- AUC
- 91.6%
- RBDC
- 47.8
- TBDC
- 85.2
- FPS
- 19
|
연결 없음 논문 날짜 미기재 |
연결 없음 |
| SSMTL |
- AUC
- 91.5%
- RBDC
- 57.00
- TBDC
- 58.30
- FPS
- 51
|
Anomaly Detection in Video via Self-Supervised and Multi-Task Learning 2020-11-15 |
코드 1 |
| SD-MAE |
- AUC
- 91.3%
- RBDC
- 46.77
- TBDC
- 66.58
- FPS
- 1670
|
Self-Distilled Masked Auto-Encoders are Efficient Video Anomaly Detectors 2023-06-21 |
코드 1 |
| MAMA |
- AUC
- 91.2%
|
Making Anomalies More Anomalous: Video Anomaly Detection Using a Novel Generator and Destroyer 2024-02-26 |
코드 1 |
| VALD-GAN |
- AUC
- 91.03
|
VALD-GAN: video anomaly detection using latent discriminator augmented GAN 2023-10-18 |
연결 없음 |
| Two-stream |
- AUC
- 90.8%
|
Context Recovery and Knowledge Retrieval: A Novel Two-Stream Framework for Video Anomaly Detection 2022-09-07 |
코드 1 |
| AnomalyRuler |
- AUC
- 89.7%
|
Follow the Rules: Reasoning for Video Anomaly Detection with Large Language Models 2024-07-14 |
코드 1 |
| Cloze Test |
- AUC
- 89.6%
- FPS
- 5
|
Cloze Test Helps: Effective Video Anomaly Detection via Learning to Complete Video Events 2020-08-27 |
코드 1 |
| Narrowed Normality Clusters |
- AUC
- 88.9%
|
Detecting abnormal events in video using Narrowed Normality Clusters 2018-01-12 |
연결 없음 |
| AKD-VAD |
- AUC
- 88.3%
- FPS
- 1480
|
Lightning Fast Video Anomaly Detection via Adversarial Knowledge Distillation 2022-11-28 |
코드 1 |
| Object-centric AE |
- AUC
- 87.4%
- RBDC
- 15.77
- TBDC
- 27.01
|
Object-centric Auto-encoders and Dummy Anomalies for Abnormal Event Detection in Video 2018-12-11 |
코드 1 |
| Siamese Net |
- AUC
- 87.2%
- RBDC
- 41.20
- TBDC
- 78.60
|
Learning a distance function with a Siamese network to localize anomalies in videos 2020-01-24 |
연결 없음 |
| Learning not to reconstruct |
- AUC
- 87.1%
|
Learning Not to Reconstruct Anomalies 2021-10-19 |
코드 1 |
| Appearance-Motion Correspondence |
- AUC
- 86.9%
|
Anomaly Detection in Video Sequence with Appearance-Motion Correspondence 2019-08-17 |
코드 1 |
| ASTNet |
- AUC
- 86.7%
|
Attention-based residual autoencoder for video anomaly detection 2022-05-25 |
코드 1 |
| Any-Shot Sequential |
- AUC
- 86.4%
|
Any-Shot Sequential Anomaly Detection in Surveillance Videos 2020-04-05 |
연결 없음 |
| EVAL |
- AUC
- 86.02%
- RBDC
- 68.2
- TBDC
- 87.56
|
EVAL: Explainable Video Anomaly Localization 2022-12-15 |
연결 없음 |
| STemGAN |
- AUC
- 86.0
|
STemGAN: spatio-temporal generative adversarial network for video anomaly detection 2023-09-22 |
연결 없음 |
| FastAno |
- AUC
- 85.3%
- FPS
- 195
|
FastAno: Fast Anomaly Detection via Spatio-temporal Patch Transformation 2021-06-16 |
코드 1 |