1 citations · 2 across the 2 of their papers we have counts for
2 papers
cs.CV2021★ 1 cited
Progressive Multi-stage Interactive Training in Mobile Network for Fine-grained Recognition
Zhenxin Wu, Qingliang Chen, Yifeng Liu +3
Fine-grained Visual Classification (FGVC) aims to identify objects from subcategories. It is a very challenging task because of the subtle inter-class differences. Existing researc…
cs.LG2021★ 1 cited
A Uniform Framework for Anomaly Detection in Deep Neural Networks
Fangzhen Zhao, Chenyi Zhang, Naipeng Dong +2
Deep neural networks (DNN) can achieve high performance when applied to In-Distribution (ID) data which come from the same distribution as the training set. When presented with ano…