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DeepSquare: Boosting the Learning Power of Deep Convolutional Neural
  Networks with Elementwise Square Operators

DeepSquare: Boosting the Learning Power of Deep Convolutional Neural Networks with Elementwise Square Operators

12 June 2019
Sheng-Wei Chen
Xu Wang
Chao Chen
Yifan Lu
Xijin Zhang
Linfu Wen
ArXivPDFHTML

Papers citing "DeepSquare: Boosting the Learning Power of Deep Convolutional Neural Networks with Elementwise Square Operators"

5 / 5 papers shown
Title
Gather-Excite: Exploiting Feature Context in Convolutional Neural
  Networks
Gather-Excite: Exploiting Feature Context in Convolutional Neural Networks
Jie Hu
Li Shen
Samuel Albanie
Gang Sun
Andrea Vedaldi
61
573
0
29 Oct 2018
ShuffleNet V2: Practical Guidelines for Efficient CNN Architecture
  Design
ShuffleNet V2: Practical Guidelines for Efficient CNN Architecture Design
Ningning Ma
Xiangyu Zhang
Haitao Zheng
Jian Sun
130
4,957
0
30 Jul 2018
Fine-tuning CNN Image Retrieval with No Human Annotation
Fine-tuning CNN Image Retrieval with No Human Annotation
Filip Radenovic
Giorgos Tolias
Ondřej Chum
60
1,294
0
03 Nov 2017
Is Second-order Information Helpful for Large-scale Visual Recognition?
Is Second-order Information Helpful for Large-scale Visual Recognition?
P. Li
Jiangtao Xie
Qilong Wang
W. Zuo
FAtt
37
251
0
23 Mar 2017
The Power of Depth for Feedforward Neural Networks
The Power of Depth for Feedforward Neural Networks
Ronen Eldan
Ohad Shamir
145
731
0
12 Dec 2015
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