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1501.02876
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
Keenan I. Jones
Enes ALTUNCU
V. N. Franqueira
Yi-Chia Wang
Shujun Li
DeLMO
34
3
0
11 Aug 2022
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
14
10
0
07 Jan 2021
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
13
70
0
18 Sep 2019
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
Dogancan Temel
Jinsol Lee
G. Al-Regib
16
42
0
18 Oct 2018
Deep Neural Networks for Pattern Recognition
Kyongsik Yun
Alexander Huyen
Thomas Lu
13
30
0
25 Sep 2018
Targeted Nonlinear Adversarial Perturbations in Images and Videos
R. Rey-de-Castro
H. Rabitz
AAML
8
10
0
27 Aug 2018
Data augmentation instead of explicit regularization
Alex Hernández-García
Peter König
25
141
0
11 Jun 2018
A Scalable Near-Memory Architecture for Training Deep Neural Networks on Large In-Memory Datasets
Fabian Schuiki
Michael Schaffner
Frank K. Gürkaynak
Luca Benini
21
70
0
19 Feb 2018
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
Tayfun Gokmen
M. Onen
W. Haensch
24
139
0
22 May 2017
Deep Learning for Photoacoustic Tomography from Sparse Data
Stephan Antholzer
Markus Haltmeier
Johannes Schwab
13
246
0
15 Apr 2017
Encouraging LSTMs to Anticipate Actions Very Early
Mohammad Sadegh Ali Akbarian
F. Saleh
Mathieu Salzmann
Basura Fernando
L. Petersson
Lars Andersson
31
169
0
21 Mar 2017
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?
Pedro Herruzo
Marc Bolaños
P. Radeva
18
4
0
29 Jul 2016
YodaNN: An Architecture for Ultra-Low Power Binary-Weight CNN Acceleration
Renzo Andri
Lukas Cavigelli
D. Rossi
Luca Benini
13
196
0
17 Jun 2016
How useful is photo-realistic rendering for visual learning?
Yair Movshovitz-Attias
T. Kanade
Yaser Sheikh
3DH
3DV
19
152
0
26 Mar 2016
APAC: Augmented PAttern Classification with Neural Networks
Ikuro Sato
Hiroki Nishimura
Kensuke Yokoi
25
137
0
13 May 2015
Probabilistic Backpropagation for Scalable Learning of Bayesian Neural Networks
José Miguel Hernández-Lobato
Ryan P. Adams
UQCV
BDL
32
935
0
18 Feb 2015
Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift
Sergey Ioffe
Christian Szegedy
OOD
26
42,993
0
11 Feb 2015
Delving Deep into Rectifiers: Surpassing Human-Level Performance on ImageNet Classification
Kaiming He
X. Zhang
Shaoqing Ren
Jian-jun Sun
VLM
29
18,393
0
06 Feb 2015
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
Tianjun Xiao
Yichong Xu
Kuiyuan Yang
Jiaxing Zhang
Yuxin Peng
Zheng-Wei Zhang
153
788
0
24 Nov 2014
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