8 citations · 11 across the 3 of their papers we have counts for
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cs.CV2019★ 8 cited
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…
cs.CV2017★ 2 cited
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…
cs.CV2017★ 1 cited
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…