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A Taxonomy of Deep Convolutional Neural Nets for Computer Vision

A Taxonomy of Deep Convolutional Neural Nets for Computer Vision

25 January 2016
Suraj Srinivas
Ravi Kiran Sarvadevabhatla
Konda Reddy Mopuri
N. Prabhu
S. Kruthiventi
R. Venkatesh Babu
    OOD
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Papers citing "A Taxonomy of Deep Convolutional Neural Nets for Computer Vision"

9 / 9 papers shown
Title
Machine Learning and Thermography Applied to the Detection and
  Classification of Cracks in Building
Machine Learning and Thermography Applied to the Detection and Classification of Cracks in Building
Angela Busheska
Nara Almeida
Nicholas Sabella
E. Rocha
AI4CE
14
2
0
30 Dec 2022
Relevance Prediction from Eye-movements Using Semi-interpretable
  Convolutional Neural Networks
Relevance Prediction from Eye-movements Using Semi-interpretable Convolutional Neural Networks
Nilavra Bhattacharya
Somnath Rakshit
J. Gwizdka
P. Kogut
6
25
0
15 Jan 2020
Evolution of Image Segmentation using Deep Convolutional Neural Network:
  A Survey
Evolution of Image Segmentation using Deep Convolutional Neural Network: A Survey
F. Sultana
Abu Sufian
P. Dutta
SSeg
24
249
0
13 Jan 2020
PI-Net: A Deep Learning Approach to Extract Topological Persistence
  Images
PI-Net: A Deep Learning Approach to Extract Topological Persistence Images
Anirudh Som
Hongjun Choi
K. Ramamurthy
M. Buman
P. Turaga
3DH
19
29
0
05 Jun 2019
A Survey on Deep Learning Methods for Robot Vision
A Survey on Deep Learning Methods for Robot Vision
Javier Ruiz-del-Solar
P. Loncomilla
Naiomi Soto
28
60
0
28 Mar 2018
Low Dose CT Image Denoising Using a Generative Adversarial Network with
  Wasserstein Distance and Perceptual Loss
Low Dose CT Image Denoising Using a Generative Adversarial Network with Wasserstein Distance and Perceptual Loss
Qingsong Yang
Pingkun Yan
Yanbo Zhang
Hengyong Yu
Yongyi Shi
X. Mou
M. Kalra
Ge Wang
GAN
MedIm
32
1,187
0
03 Aug 2017
CT Image Denoising with Perceptive Deep Neural Networks
CT Image Denoising with Perceptive Deep Neural Networks
Qingsong Yang
Pingkun Yan
M. Kalra
Ge Wang
MedIm
OOD
23
59
0
22 Feb 2017
Indoor Semantic Segmentation using depth information
Indoor Semantic Segmentation using depth information
Camille Couprie
C. Farabet
Laurent Najman
Yann LeCun
SSeg
MDE
78
473
0
16 Jan 2013
Improving neural networks by preventing co-adaptation of feature
  detectors
Improving neural networks by preventing co-adaptation of feature detectors
Geoffrey E. Hinton
Nitish Srivastava
A. Krizhevsky
Ilya Sutskever
Ruslan Salakhutdinov
VLM
266
7,634
0
03 Jul 2012
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