8 citations · 13 across the 5 of their papers we have counts for
5 papers
Learning from Adversarial Features for Few-Shot Classification
Wei Shen, Ziqiang Shi, Jun Sun
Many recent few-shot learning methods concentrate on designing novel model architectures. In this paper, we instead show that with a simple backbone convolutional network we can ev…
On Study of the Reliable Fully Convolutional Networks with Tree Arranged Outputs (TAO-FCN) for Handwritten String Recognition
Song Wang, Jun Sun, Satoshi Naoi
The handwritten string recognition is still a challengeable task, though the powerful deep learning tools were introduced. In this paper, based on TAO-FCN, we proposed an end-to-en…
Building Fast and Compact Convolutional Neural Networks for Offline Handwritten Chinese Character Recognition
Xuefeng Xiao, Lianwen Jin, Yafeng Yang +3
Like other problems in computer vision, offline handwritten Chinese character recognition (HCCR) has achieved impressive results using convolutional neural network (CNN)-based meth…
An Automated CNN Recommendation System for Image Classification Tasks
Song Wang, Li Sun, Wei Fan +6
Nowadays the CNN is widely used in practical applications for image classification task. However the design of the CNN model is very professional work and which is very difficult f…
On Study of the Binarized Deep Neural Network for Image Classification
Song Wang, Dongchun Ren, Li Chen +3
Recently, the deep neural network (derived from the artificial neural network) has attracted many researchers' attention by its outstanding performance. However, since this network…