149 citations · 174 across the 3 of their papers we have counts for
3 papers
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★ 149 cited
Auto-DeepLab: Hierarchical Neural Architecture Search for Semantic Image Segmentation
Chenxi Liu, Liang-Chieh Chen, Florian Schroff +4
Recently, Neural Architecture Search (NAS) has successfully identified neural network architectures that exceed human designed ones on large-scale image classification. In this pap…
cs.CV2019★ 21 cited
CLEVR-Ref+: Diagnosing Visual Reasoning with Referring Expressions
Runtao Liu, Chenxi Liu, Yutong Bai +1
Referring object detection and referring image segmentation are important tasks that require joint understanding of visual information and natural language. Yet there has been evid…