2 citations · 2 across the 2 of their papers we have counts for
2 papers
cs.CV2021
Unsupervised Learning of Multi-level Structures for Anomaly Detection
Songmin Dai, Jide Li, Lu Wang +3
The main difficulty in high-dimensional anomaly detection tasks is the lack of anomalous data for training. And simply collecting anomalous data from the real world, common distrib…
cs.CV2019★ 2 cited
Towards Omni-Supervised Face Alignment for Large Scale Unlabeled Videos
Congcong Zhu, Hao Liu, Zhenhua Yu +1
In this paper, we propose a spatial-temporal relational reasoning networks (STRRN) approach to investigate the problem of omni-supervised face alignment in videos. Unlike existing…