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SotA/Methodology/Anomaly Detection/CUHK Avenue

Anomaly Detection on CUHK Avenue

Metric: TBDC (higher is better)

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#Model↕TBDC▼AugmentationsPaperDate↕Code
1HF2VAD+SSPCAB89.28NoSelf-Supervised Predictive Convolutional Attenti...2021-11-17Code
2EVAL87.56NoEVAL: Explainable Video Anomaly Localization2022-12-15-
3SSMTL++v285.2No---
4SSMTL++v182.1NoSSMTL++: Revisiting Self-Supervised Multi-Task L...2022-07-16-
5Siamese Net78.6NoLearning a distance function with a Siamese netw...2020-01-24-
6PGM72.09NoBounding Boxes and Probabilistic Graphical Model...2024-07-08Code
7PGM72.09NoBounding Boxes and Probabilistic Graphical Model...2024-07-08Code
8Background-Agnostic Framework66.85YesA Background-Agnostic Framework with Adversarial...2020-08-27Code
9SD-MAE66.58NoSelf-Distilled Masked Auto-Encoders are Efficien...2023-06-21Code
10Background-Agnostic Framework+SSMCTB65.12NoSelf-Supervised Masked Convolutional Transformer...2022-09-25Code
11SSMTL+UBnormal61.38YesUBnormal: New Benchmark for Supervised Open-Set ...2021-11-16Code
12SSMTL58.3NoAnomaly Detection in Video via Self-Supervised a...2020-11-15Code
13Future Frame Prediction56.01NoFuture Frame Prediction for Anomaly Detection --...2017-12-28Code
14Object-centric AE27.01NoObject-centric Auto-encoders and Dummy Anomalies...2018-12-11Code