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  4. Cited By

Deep Image: Scaling up Image Recognition

13 January 2015
Ren Wu
Shengen Yan
Yi Shan
Qingqing Dang
Gang Sun
    VLM
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Papers citing "Deep Image: Scaling up Image Recognition"

23 / 23 papers shown
Title
A Comprehensive Survey of Natural Language Generation Advances from the
  Perspective of Digital Deception
A Comprehensive Survey of Natural Language Generation Advances from the Perspective of Digital Deception
Keenan I. Jones
Enes ALTUNCU
V. N. Franqueira
Yi-Chia Wang
Shujun Li
DeLMO
26
3
0
11 Aug 2022
Low-cost and high-performance data augmentation for deep-learning-based
  skin lesion classification
Low-cost and high-performance data augmentation for deep-learning-based skin lesion classification
Shuwei Shen
Mengjuan Xu
Fan Zhang
Pengfei Shao
Honghong Liu
...
Chi Zhang
Peng Liu
Zhihong Zhang
Peng Yao
Ronald X. Xu
9
10
0
07 Jan 2021
Automated detection of oral pre-cancerous tongue lesions using deep
  learning for early diagnosis of oral cavity cancer
Automated detection of oral pre-cancerous tongue lesions using deep learning for early diagnosis of oral cavity cancer
M. Z. Shamim
Sadatullah Syed
Mohammad Shiblee
Mohammed Usman
S. Ali
11
70
0
18 Sep 2019
Object Recognition under Multifarious Conditions: A Reliability Analysis
  and A Feature Similarity-based Performance Estimation
Object Recognition under Multifarious Conditions: A Reliability Analysis and A Feature Similarity-based Performance Estimation
Dogancan Temel
Jinsol Lee
G. Al-Regib
21
12
0
18 Feb 2019
CURE-OR: Challenging Unreal and Real Environments for Object Recognition
CURE-OR: Challenging Unreal and Real Environments for Object Recognition
Dogancan Temel
Jinsol Lee
G. Al-Regib
14
42
0
18 Oct 2018
Deep Neural Networks for Pattern Recognition
Deep Neural Networks for Pattern Recognition
Kyongsik Yun
Alexander Huyen
Thomas Lu
11
30
0
25 Sep 2018
Targeted Nonlinear Adversarial Perturbations in Images and Videos
Targeted Nonlinear Adversarial Perturbations in Images and Videos
R. Rey-de-Castro
H. Rabitz
AAML
6
10
0
27 Aug 2018
Data augmentation instead of explicit regularization
Data augmentation instead of explicit regularization
Alex Hernández-García
Peter König
11
141
0
11 Jun 2018
A Scalable Near-Memory Architecture for Training Deep Neural Networks on
  Large In-Memory Datasets
A Scalable Near-Memory Architecture for Training Deep Neural Networks on Large In-Memory Datasets
Fabian Schuiki
Michael Schaffner
Frank K. Gürkaynak
Luca Benini
19
70
0
19 Feb 2018
Improving Deep Learning using Generic Data Augmentation
Improving Deep Learning using Generic Data Augmentation
Luke Taylor
G. Nitschke
17
382
0
20 Aug 2017
Training Deep Convolutional Neural Networks with Resistive Cross-Point
  Devices
Training Deep Convolutional Neural Networks with Resistive Cross-Point Devices
Tayfun Gokmen
M. Onen
W. Haensch
22
139
0
22 May 2017
Deep Learning for Photoacoustic Tomography from Sparse Data
Deep Learning for Photoacoustic Tomography from Sparse Data
Stephan Antholzer
Markus Haltmeier
Johannes Schwab
11
245
0
15 Apr 2017
Encouraging LSTMs to Anticipate Actions Very Early
Encouraging LSTMs to Anticipate Actions Very Early
Mohammad Sadegh Ali Akbarian
F. Saleh
Mathieu Salzmann
Basura Fernando
L. Petersson
Lars Andersson
23
169
0
21 Mar 2017
How to scale distributed deep learning?
How to scale distributed deep learning?
Peter H. Jin
Qiaochu Yuan
F. Iandola
Kurt Keutzer
3DH
16
136
0
14 Nov 2016
Can a CNN Recognize Catalan Diet?
Can a CNN Recognize Catalan Diet?
Pedro Herruzo
Marc Bolaños
P. Radeva
18
4
0
29 Jul 2016
YodaNN: An Architecture for Ultra-Low Power Binary-Weight CNN
  Acceleration
YodaNN: An Architecture for Ultra-Low Power Binary-Weight CNN Acceleration
Renzo Andri
Lukas Cavigelli
D. Rossi
Luca Benini
11
196
0
17 Jun 2016
How useful is photo-realistic rendering for visual learning?
How useful is photo-realistic rendering for visual learning?
Yair Movshovitz-Attias
T. Kanade
Yaser Sheikh
3DH
3DV
14
151
0
26 Mar 2016
APAC: Augmented PAttern Classification with Neural Networks
APAC: Augmented PAttern Classification with Neural Networks
Ikuro Sato
Hiroki Nishimura
Kensuke Yokoi
23
137
0
13 May 2015
Probabilistic Backpropagation for Scalable Learning of Bayesian Neural
  Networks
Probabilistic Backpropagation for Scalable Learning of Bayesian Neural Networks
José Miguel Hernández-Lobato
Ryan P. Adams
UQCV
BDL
27
935
0
18 Feb 2015
Batch Normalization: Accelerating Deep Network Training by Reducing
  Internal Covariate Shift
Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift
Sergey Ioffe
Christian Szegedy
OOD
21
42,905
0
11 Feb 2015
Delving Deep into Rectifiers: Surpassing Human-Level Performance on
  ImageNet Classification
Delving Deep into Rectifiers: Surpassing Human-Level Performance on ImageNet Classification
Kaiming He
X. Zhang
Shaoqing Ren
Jian-jun Sun
VLM
27
18,393
0
06 Feb 2015
Deep convolutional filter banks for texture recognition and segmentation
Deep convolutional filter banks for texture recognition and segmentation
Mircea Cimpoi
Subhransu Maji
Andrea Vedaldi
3DV
34
53
0
25 Nov 2014
The Application of Two-level Attention Models in Deep Convolutional
  Neural Network for Fine-grained Image Classification
The Application of Two-level Attention Models in Deep Convolutional Neural Network for Fine-grained Image Classification
Tianjun Xiao
Yichong Xu
Kuiyuan Yang
Jiaxing Zhang
Yuxin Peng
Zheng-Wei Zhang
153
788
0
24 Nov 2014
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