| Paper | Code | Frame AUC | ModelName | ReleaseDate |
|---|---|---|---|---|
| TLMA: Mitigating the Impact of Weakly Labeled Information for Video Anomaly Detection | 89.47 | TLMA | 2026-06-03 | |
| CLUE-VAD: Structured Semantic Clues for Understanding Explainable Events in Video Anomaly Detection | 89.47 | CLUE-VAD | 2026-09-08 | |
| Alert-CLIP: Abnormality-aware Latent-Enhanced Representation Tuning of CLIP for Video Anomaly Detection | ✓ Link | 89.32 | Alert-CLIP (Full) | 2026-06-03 |
| Fine-VAD: Towards Fine-Grained Video Anomaly Detection via Progressive Cross-Granularity Learning | 88.79 | Fine-VAD | 2026-06-03 | |
| Joint Learning of General and Diverse Patterns with Mixture of Memory Experts for Weakly-Supervised Video Anomaly Detection | 88.32 | MoME | 2026-06-03 | |
| Text Prompt with Normality Guidance for Weakly Supervised Video Anomaly Detection | 87.79 | TPWNG | 2024-04-12 | |
| Prompt-Enhanced Multiple Instance Learning for Weakly Supervised Video Anomaly Detection | ✓ Link | 86.83 | PE-MIL | 2024-06-17 |