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SotA/Methodology/Anomaly Detection/CUHK Avenue

Anomaly Detection on CUHK Avenue

Metric: RBDC (higher is better)

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#Model↕RBDC▼AugmentationsPaperDate↕Code
1EVAL68.2NoEVAL: Explainable Video Anomaly Localization2022-12-15-
2Background-Agnostic Framework+SSMCTB66.04NoSelf-Supervised Masked Convolutional Transformer...2022-09-25Code
3Background- Agnostic Framework+SSPCAB65.99NoSelf-Supervised Predictive Convolutional Attenti...2021-11-17Code
4Background-Agnostic Framework65.05YesA Background-Agnostic Framework with Adversarial...2020-08-27Code
5SSMTL+UBnormal61.1YesUBnormal: New Benchmark for Supervised Open-Set ...2021-11-16Code
6PGM60.18NoBounding Boxes and Probabilistic Graphical Model...2024-07-08Code
7PGM60.18NoBounding Boxes and Probabilistic Graphical Model...2024-07-08Code
8SSMTL57NoAnomaly Detection in Video via Self-Supervised a...2020-11-15Code
9SSMTL++v247.8No---
10SD-MAE46.77NoSelf-Distilled Masked Auto-Encoders are Efficien...2023-06-21Code
11Siamese Net41.2NoLearning a distance function with a Siamese netw...2020-01-24-
12SSMTL++v140.9NoSSMTL++: Revisiting Self-Supervised Multi-Task L...2022-07-16-
13Future Frame Prediction19.59NoFuture Frame Prediction for Anomaly Detection --...2017-12-28Code
14Object-centric AE15.77NoObject-centric Auto-encoders and Dummy Anomalies...2018-12-11Code