Towards Open Set Video Anomaly Detection

no code implementations • 23 Aug 2022 • Yuansheng Zhu, Wentao Bao, Qi Yu

We develop a novel weakly supervised method for the OpenVAD problem by integrating evidential deep learning (EDL) and normalizing flows (NFs) into a multiple instance learning (MIL) framework.

Anomaly Detection Multiple Instance Learning +1

Uncertainty-Aware Multiple Instance Learning from Large-Scale Long Time Series Data

no code implementations • 16 Nov 2021 • Yuansheng Zhu, Weishi Shi, Deep Shankar Pandey, Yang Liu, Xiaofan Que, Daniel E. Krutz, Qi Yu

We propose a novel framework to classify large-scale time series data with long duration.

Multiple Instance Learning Time Series +1