13 citations · 13 across the 2 of their papers we have counts for
3 papers
cs.LG2020★ 13 cited
How to fine-tune deep neural networks in few-shot learning?
Peng Peng, Jiugen Wang
Deep learning has been widely used in data-intensive applications. However, training a deep neural network often requires a large data set. When there is not enough data available…
cs.CV2020
Segmentation overlapping wear particles with few labelled data and imbalance sample
Peng Peng, Jiugen Wang
Ferrograph image segmentation is of significance for obtaining features of wear particles. However, wear particles are usually overlapped in the form of debris chains, which makes…
cs.CV2020
Ferrograph image classification
Peng Peng, Jiugen Wang
It has been challenging to identify ferrograph images with a small dataset and various scales of wear particle. A novel model is proposed in this study to cope with these challengi…