48 citations · 78 across the 6 of their papers we have counts for
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cs.CV2019★ 4 cited
Identifying Model Weakness with Adversarial Examiner
Michelle Shu, Chenxi Liu, Weichao Qiu +1
Machine learning models are usually evaluated according to the average case performance on the test set. However, this is not always ideal, because in some sensitive domains (e.g.…
cs.CV2019
Region Refinement Network for Salient Object Detection
Zhuotao Tian, Hengshuang Zhao, Michelle Shu +4
Albeit intensively studied, false prediction and unclear boundaries are still major issues of salient object detection. In this paper, we propose a Region Refinement Network (RRN),…