Driver Anomaly Detection: A Dataset and Contrastive Learning Approach

1 code implementation • 30 Sep 2020 • Okan Köpüklü, Jiapeng Zheng, Hang Xu, Gerhard Rigoll

For this task, we introduce a new video-based benchmark, the Driver Anomaly Detection (DAD) dataset, which contains normal driving videos together with a set of anomalous actions in its training set.

Anomaly Detection Contrastive Learning +1