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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"
32 / 32 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
17
10
0
07 Jan 2021
Truly shift-invariant convolutional neural networks
Anadi Chaman
Ivan Dokmanić
23
68
0
28 Nov 2020
A Survey on Large-scale Machine Learning
Meng Wang
Weijie Fu
Xiangnan He
Shijie Hao
Xindong Wu
14
109
0
10 Aug 2020
Stochastic Optimization of Plain Convolutional Neural Networks with Simple methods
Yahia Saeed Assiri
BDL
51
22
0
24 Jan 2020
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
16
71
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
26
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
18
30
0
25 Sep 2018
Targeted Nonlinear Adversarial Perturbations in Images and Videos
R. Rey-de-Castro
H. Rabitz
AAML
16
10
0
27 Aug 2018
Data augmentation instead of explicit regularization
Alex Hernández-García
Peter König
30
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
Towards Principled Design of Deep Convolutional Networks: Introducing SimpNet
S. H. HasanPour
Mohammad Rouhani
Mohsen Fayyaz
Mohammad Sabokrou
Ehsan Adeli
47
45
0
17 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
30
139
0
22 May 2017
Deep Learning in the Automotive Industry: Applications and Tools
André Luckow
M. Cook
Nathan Ashcraft
Edwin Weill
Emil Djerekarov
Bennie Vorster
12
116
0
30 Apr 2017
Deep Learning for Photoacoustic Tomography from Sparse Data
Stephan Antholzer
Markus Haltmeier
Johannes Schwab
18
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
34
169
0
21 Mar 2017
Exploring the Design Space of Deep Convolutional Neural Networks at Large Scale
F. Iandola
3DV
24
18
0
20 Dec 2016
How to scale distributed deep learning?
Peter H. Jin
Qiaochu Yuan
F. Iandola
Kurt Keutzer
3DH
16
136
0
14 Nov 2016
Lets keep it simple, Using simple architectures to outperform deeper and more complex architectures
S. H. HasanPour
Mohammad Rouhani
Mohsen Fayyaz
Mohammad Sabokrou
18
118
0
22 Aug 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
15
196
0
17 Jun 2016
How useful is photo-realistic rendering for visual learning?
Yair Movshovitz-Attias
T. Kanade
Yaser Sheikh
3DH
3DV
27
152
0
26 Mar 2016
Fine-grained Image Classification by Exploring Bipartite-Graph Labels
Feng Zhou
Yuanqing Lin
17
130
0
08 Dec 2015
FireCaffe: near-linear acceleration of deep neural network training on compute clusters
F. Iandola
Khalid Ashraf
Matthew W. Moskewicz
Kurt Keutzer
19
302
0
31 Oct 2015
APAC: Augmented PAttern Classification with Neural Networks
Ikuro Sato
Hiroki Nishimura
Kensuke Yokoi
30
137
0
13 May 2015
Probabilistic Backpropagation for Scalable Learning of Bayesian Neural Networks
José Miguel Hernández-Lobato
Ryan P. Adams
UQCV
BDL
43
935
0
18 Feb 2015
Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift
Sergey Ioffe
Christian Szegedy
OOD
31
43,009
0
11 Feb 2015
Delving Deep into Rectifiers: Surpassing Human-Level Performance on ImageNet Classification
Kaiming He
Xinming Zhang
Shaoqing Ren
Jian Sun
VLM
29
18,444
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
158
789
0
24 Nov 2014
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