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Learning with Rethinking: Recurrently Improving Convolutional Neural
  Networks through Feedback

Learning with Rethinking: Recurrently Improving Convolutional Neural Networks through Feedback

15 August 2017
X. Li
Zequn Jie
Jiashi Feng
Changsong Liu
Shuicheng Yan
    SSL
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Papers citing "Learning with Rethinking: Recurrently Improving Convolutional Neural Networks through Feedback"

3 / 3 papers shown
Title
Multi-Agent Feedback Enabled Neural Networks for Intelligent
  Communications
Multi-Agent Feedback Enabled Neural Networks for Intelligent Communications
Fanglei Sun
Yang Li
Ying Wen
Jin Hu
Jun Wang
Yang Yang
Kai Li
13
1
0
22 May 2022
Recurrent Feedback Improves Feedforward Representations in Deep Neural
  Networks
Recurrent Feedback Improves Feedforward Representations in Deep Neural Networks
Siming Yan
Xuyang Fang
Bowen Xiao
Harold Rockwell
Yimeng Zhang
T. Lee
SSL
11
7
0
22 Dec 2019
The Application of Two-level Attention Models in Deep Convolutional
  Neural Network for Fine-grained Image Classification
The Application of Two-level Attention Models in Deep Convolutional Neural Network for Fine-grained Image Classification
Tianjun Xiao
Yichong Xu
Kuiyuan Yang
Jiaxing Zhang
Yuxin Peng
Zheng-Wei Zhang
153
788
0
24 Nov 2014
1