Technical report on target classification in SAR track

no code implementations • 3 May 2024 • Haonan Xu, Han Yinan, Haotian Si, Yang Yang

This report proposes a robust method for classifying oceanic and atmospheric phenomena using synthetic aperture radar (SAR) imagery.

TimeSeriesBench: An Industrial-Grade Benchmark for Time Series Anomaly Detection Models

1 code implementation • 16 Feb 2024 • Haotian Si, Changhua Pei, Hang Cui, Jingwen Yang, Yongqian Sun, Shenglin Zhang, Jingjing Li, Haiming Zhang, Jing Han, Dan Pei, Jianhui Li, Gaogang Xie

The performance of testing newly incoming unseen time series on current TSAD algorithms remains unknown.

Anomaly Detection Time Series +1

Beyond Sharing: Conflict-Aware Multivariate Time Series Anomaly Detection

1 code implementation • 17 Aug 2023 • Haotian Si, Changhua Pei, Zhihan Li, Yadong Zhao, Jingjing Li, Haiming Zhang, Zulong Diao, Jianhui Li, Gaogang Xie, Dan Pei

Massive key performance indicators (KPIs) are monitored as multivariate time series data (MTS) to ensure the reliability of the software applications and service system.

Anomaly Detection Multi-Task Learning +3