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Understanding and Improving CNNs with Complex Structure Tensor: A Biometrics Study

Understanding and Improving CNNs with Complex Structure Tensor: A Biometrics Study

Kevin Hernandez Diaz
J. Bigün
F. Alonso-Fernandez
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Papers citing "Understanding and Improving CNNs with Complex Structure Tensor: A Biometrics Study"

4 / 4 papers shown
Title
MobileNetV2: Inverted Residuals and Linear Bottlenecks
MobileNetV2: Inverted Residuals and Linear Bottlenecks
Mark Sandler
Andrew G. Howard
Menglong Zhu
A. Zhmoginov
Liang-Chieh Chen
171
19,204
0
13 Jan 2018
Xception: Deep Learning with Depthwise Separable Convolutions
Xception: Deep Learning with Depthwise Separable Convolutions
François Chollet
MDE
BDL
PINN
1.3K
14,543
0
07 Oct 2016
Densely Connected Convolutional Networks
Densely Connected Convolutional Networks
Gao Huang
Zhuang Liu
Laurens van der Maaten
Kilian Q. Weinberger
PINN
3DV
725
36,708
0
25 Aug 2016
Rethinking the Inception Architecture for Computer Vision
Rethinking the Inception Architecture for Computer Vision
Christian Szegedy
Vincent Vanhoucke
Sergey Ioffe
Jonathon Shlens
Z. Wojna
3DV
BDL
804
27,303
0
02 Dec 2015

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