ADBench is (to our best knowledge)the most comprehensive tabular anomaly detection benchmark, where we analyze the performance of30anomaly detection algorithms on57 datasets(where we introduced 10 new datasets). By analyzing both research needs and deployment requirements in industry, ADBench conducts ...
Detection AUROCSegmentation AUPROSegmentation AUROCSegmentation APFPSExtra Training DataPaperCodeResultYearTags 1 GLASS 99.9 96.8 99.3 A Unified Anomaly Synthesis Strategy with Gradient Ascent for Industrial Anomaly Detection and Localization 2024 2 UniNet 99.90 96.00 98.81 UniNet: A Contrastive Learning-...
网格数据上的异常检测 (ADBench: Anomaly Detection Benchmark) 时间序列上的异常检测(Revisiting Time Series Outlier Detection: Definitions and Benchmarks) 在我们最新的45页论文 ADBench:Anomaly Detection Benchmark中,我们( @芝士确实是热量 @局关THU)尝试通过10万个实验来定量分析网格数据(tabular data)中的这...
5 Mulsen-AD BenchmarkDue to space limit, detailed Mulsen-AD bench can refer to Tab4&Tab5 in our [Paper]6 To use our dataset for Single 3D Anomaly DetectionOur Mulsen-AD dataset contains a high quality 3D dataset. We also encourage to just use our dataset for 3D anomaly detection. ...
In addition to the tabular benchmark datasets provided inclassical directory. We provide more details on the generation of the 10 CV/NLP datasets as below. In a nutshell, pretrained models are applied to extract data embedding from CV and NLP datasets to access more complex representations, which...
TSB-UAD: An End-to-End Benchmark Suite for Univariate Time-Series Anomaly Detection. VUS: A New Accuracy Evaluation Measure for Time-Series Anomaly Detection. If you find our work helpful, please consider citing: "The Elephant in the Room: Towards A Reliable Time-Series Anomaly Detection Benc...
@article{li2024nlp, title={NLP-ADBench: NLP Anomaly Detection Benchmark}, author={Li, Yuangang and Li, Jiaqi and Xiao, Zhuo and Yang, Tiankai and Nian, Yi and Hu, Xiyang and Zhao, Yue}, journal={arXiv preprint arXiv:2412.04784}, year={2024} }...
Official code and data repository of ADBench: Anomaly Detection Benchmark (NeurIPS 2022). Please star, watch, and fork ADBench for the active updates! Recent News: ADBench has received 600+⭐ in github and released an official Python package📦 for a better user experience! Thank you all...