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Design of Efficient Convolutional Layers using Single Intra-channel
  Convolution, Topological Subdivisioning and Spatial "Bottleneck" Structure

Design of Efficient Convolutional Layers using Single Intra-channel Convolution, Topological Subdivisioning and Spatial "Bottleneck" Structure

15 August 2016
Min Wang
Baoyuan Liu
H. Foroosh
ArXivPDFHTML

Papers citing "Design of Efficient Convolutional Layers using Single Intra-channel Convolution, Topological Subdivisioning and Spatial "Bottleneck" Structure"

5 / 5 papers shown
Title
Butterfly-Net2: Simplified Butterfly-Net and Fourier Transform
  Initialization
Butterfly-Net2: Simplified Butterfly-Net and Fourier Transform Initialization
Zhongshu Xu
Yingzhou Li
Xiuyuan Cheng
19
7
0
09 Dec 2019
Loss Rank Mining: A General Hard Example Mining Method for Real-time
  Detectors
Loss Rank Mining: A General Hard Example Mining Method for Real-time Detectors
Hao Yu
Zhaoning Zhang
Zheng Qin
Hao Wu
Dongsheng Li
Jun Zhao
Xicheng Lu
ObjD
17
25
0
10 Apr 2018
Encoder-Decoder with Atrous Separable Convolution for Semantic Image
  Segmentation
Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation
Liang-Chieh Chen
Yukun Zhu
George Papandreou
Florian Schroff
Hartwig Adam
SSeg
32
12,895
0
07 Feb 2018
Ultimate tensorization: compressing convolutional and FC layers alike
Ultimate tensorization: compressing convolutional and FC layers alike
T. Garipov
D. Podoprikhin
Alexander Novikov
Dmitry Vetrov
37
190
0
10 Nov 2016
Xception: Deep Learning with Depthwise Separable Convolutions
Xception: Deep Learning with Depthwise Separable Convolutions
François Chollet
MDE
BDL
PINN
206
14,367
0
07 Oct 2016
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