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.CV2018★ 2 cited
Learning Segmentation Masks with the Independence Prior
Songmin Dai, Xiaoqiang Li, Lu Wang +3
An instance with a bad mask might make a composite image that uses it look fake. This encourages us to learn segmentation by generating realistic composite images. To achieve this,…