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CortexNet: a Generic Network Family for Robust Visual Temporal
  Representations
v1v2 (latest)

CortexNet: a Generic Network Family for Robust Visual Temporal Representations

8 June 2017
A. Canziani
Eugenio Culurciello
ArXiv (abs)PDFHTML

Papers citing "CortexNet: a Generic Network Family for Robust Visual Temporal Representations"

7 / 7 papers shown
Title
Explaining How a Deep Neural Network Trained with End-to-End Learning
  Steers a Car
Explaining How a Deep Neural Network Trained with End-to-End Learning Steers a Car
Mariusz Bojarski
Philip Yeres
A. Choromańska
K. Choromanski
Bernhard Firner
L. Jackel
Urs Muller
79
401
0
25 Apr 2017
Predicting Deeper into the Future of Semantic Segmentation
Predicting Deeper into the Future of Semantic Segmentation
Pauline Luc
Natalia Neverova
Camille Couprie
Jakob Verbeek
Yann LeCun
68
242
0
22 Mar 2017
An Analysis of Deep Neural Network Models for Practical Applications
An Analysis of Deep Neural Network Models for Practical Applications
A. Canziani
Adam Paszke
Eugenio Culurciello
88
1,168
0
24 May 2016
Identity Mappings in Deep Residual Networks
Identity Mappings in Deep Residual Networks
Kaiming He
Xinming Zhang
Shaoqing Ren
Jian Sun
354
10,184
0
16 Mar 2016
Spatio-temporal video autoencoder with differentiable memory
Spatio-temporal video autoencoder with differentiable memory
Viorica Patraucean
Ankur Handa
R. Cipolla
87
307
0
19 Nov 2015
Unsupervised Learning of Visual Representations using Videos
Unsupervised Learning of Visual Representations using Videos
Xinyu Wang
Abhinav Gupta
SSL
92
232
0
04 May 2015
Deep Neural Networks are Easily Fooled: High Confidence Predictions for
  Unrecognizable Images
Deep Neural Networks are Easily Fooled: High Confidence Predictions for Unrecognizable Images
Anh Totti Nguyen
J. Yosinski
Jeff Clune
AAML
169
3,271
0
05 Dec 2014
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