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Convolutional Neural Networks at Constrained Time Cost

Convolutional Neural Networks at Constrained Time Cost

Computer Vision and Pattern Recognition (CVPR), 2014
4 December 2014
Kaiming He
Jian Sun
    3DV
ArXiv (abs)PDFHTML

Papers citing "Convolutional Neural Networks at Constrained Time Cost"

50 / 218 papers shown
Title
DyNet: Dynamic Convolution for Accelerating Convolutional Neural
  Networks
DyNet: Dynamic Convolution for Accelerating Convolutional Neural Networks
Yikang Zhang
Jian Zhang
Qiang-qiang Wang
Zhaobai Zhong
104
100
0
22 Apr 2020
Residual Attention U-Net for Automated Multi-Class Segmentation of
  COVID-19 Chest CT Images
Residual Attention U-Net for Automated Multi-Class Segmentation of COVID-19 Chest CT Images
Xiaocong Chen
Lina Yao
Yu Zhang
110
207
0
12 Apr 2020
Learning Deep Graph Representations via Convolutional Neural Networks
Learning Deep Graph Representations via Convolutional Neural NetworksIEEE Transactions on Knowledge and Data Engineering (TKDE), 2020
Wei Ye
Omid Askarisichani
Alex T. Jones
Ambuj K. Singh
SSLGNN
89
13
0
05 Apr 2020
DeepFLASH: An Efficient Network for Learning-based Medical Image
  Registration
DeepFLASH: An Efficient Network for Learning-based Medical Image RegistrationComputer Vision and Pattern Recognition (CVPR), 2020
Jian Wang
Miaomiao Zhang
FedMLMedIm
139
72
0
05 Apr 2020
Adversarial Learning for Personalized Tag Recommendation
Adversarial Learning for Personalized Tag RecommendationIEEE transactions on multimedia (TMM), 2020
Erik Quintanilla
Yogesh S Rawat
Andrey Sakryukin
M. Shah
Mohan Kankanhalli
VLM
115
25
0
01 Apr 2020
Rethinking Depthwise Separable Convolutions: How Intra-Kernel
  Correlations Lead to Improved MobileNets
Rethinking Depthwise Separable Convolutions: How Intra-Kernel Correlations Lead to Improved MobileNetsComputer Vision and Pattern Recognition (CVPR), 2020
D. Haase
Manuel Amthor
138
169
0
30 Mar 2020
SuperNet -- An efficient method of neural networks ensembling
SuperNet -- An efficient method of neural networks ensembling
Ludwik Bukowski
W. Dzwinel
54
2
0
29 Mar 2020
Learning the mapping $\mathbf{x}\mapsto \sum_{i=1}^d x_i^2$: the cost of
  finding the needle in a haystack
Learning the mapping x↦∑i=1dxi2\mathbf{x}\mapsto \sum_{i=1}^d x_i^2x↦∑i=1d​xi2​: the cost of finding the needle in a haystack
Jiefu Zhang
Leonardo Zepeda-Núnez
Xingtai Lv
Lin Lin
47
0
0
24 Feb 2020
RIS Enhanced Massive Non-orthogonal Multiple Access Networks: Deployment
  and Passive Beamforming Design
RIS Enhanced Massive Non-orthogonal Multiple Access Networks: Deployment and Passive Beamforming DesignIEEE Journal on Selected Areas in Communications (JSAC), 2020
Xinyu Liu
Yuanwei Liu
Yue Chen
H. Vincent Poor
72
166
0
28 Jan 2020
Pelican: A Deep Residual Network for Network Intrusion Detection
Pelican: A Deep Residual Network for Network Intrusion Detection
Peilun Wu
Hui Guo
Nour Moustafa
87
41
0
19 Jan 2020
Hyperparameters optimization for Deep Learning based emotion prediction
  for Human Robot Interaction
Hyperparameters optimization for Deep Learning based emotion prediction for Human Robot Interaction
S. Jaiswal
G. C. Nandi
46
2
0
12 Jan 2020
Convolutional Neural Networks based Focal Loss for Class Imbalance
  Problem: A Case Study of Canine Red Blood Cells Morphology Classification
Convolutional Neural Networks based Focal Loss for Class Imbalance Problem: A Case Study of Canine Red Blood Cells Morphology ClassificationJournal of Ambient Intelligence and Humanized Computing (JAIHC), 2020
Kitsuchart Pasupa
Supawit Vatathanavaro
Suchat Tungjitnob
68
63
0
10 Jan 2020
Water Supply Prediction Based on Initialized Attention Residual Network
Water Supply Prediction Based on Initialized Attention Residual NetworkCybersecurity and Cyberforensics Conference (CC), 2019
Yu Long
Jingcheng Wang
Jingyi Wang
51
2
0
17 Dec 2019
IC-Network: Efficient Structure for Convolutional Neural Networks
IC-Network: Efficient Structure for Convolutional Neural Networks
Junyi An
Fengshan Liu
Jian Zhao
S. Furao
95
0
0
19 Nov 2019
A Spectral Nonlocal Block for Neural Networks
A Spectral Nonlocal Block for Neural Networks
Lei Zhu
Qi She
Lidan Zhang
Ping Guo
139
2
0
04 Nov 2019
Vanishing Nodes: Another Phenomenon That Makes Training Deep Neural
  Networks Difficult
Vanishing Nodes: Another Phenomenon That Makes Training Deep Neural Networks Difficult
Wen-Yu Chang
Tsung-Nan Lin
GNN
95
0
0
22 Oct 2019
Drivers Drowsiness Detection using Condition-Adaptive Representation
  Learning Framework
Drivers Drowsiness Detection using Condition-Adaptive Representation Learning Framework
Jongmin Yu
Sangwook Park
Sangwook Lee
M. Jeon
MedIm
128
92
0
22 Oct 2019
Image Restoration Using Deep Regulated Convolutional Networks
Image Restoration Using Deep Regulated Convolutional Networks
Peng Liu
Xiaoxiao Zhou
Junyi Yang
Mohammad D. El Basha
R. Fang
48
2
0
19 Oct 2019
Offline handwritten mathematical symbol recognition utilising deep
  learning
Offline handwritten mathematical symbol recognition utilising deep learning
A. Nazemi
Niloofar Tavakolian
Donal Fitzpatrick
Chandrika Fernando
C. Suen
45
12
0
16 Oct 2019
Generative Neural Network based Spectrum Sharing using Linear Sum
  Assignment Problems
Generative Neural Network based Spectrum Sharing using Linear Sum Assignment ProblemsChina Communications (CC), 2019
A. B. Zaki
J. Huang
Kaishun Wu
B. Elhalawany
58
15
0
12 Oct 2019
SNDCNN: Self-normalizing deep CNNs with scaled exponential linear units
  for speech recognition
SNDCNN: Self-normalizing deep CNNs with scaled exponential linear units for speech recognitionIEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2019
Atanas G. Atanasov
Tim Ng
Leo Liu
Henry Mason
Xiaodan Zhuang
Daben Liu
110
41
0
04 Oct 2019
On Defending Against Label Flipping Attacks on Malware Detection Systems
On Defending Against Label Flipping Attacks on Malware Detection Systems
R. Taheri
R. Javidan
Mohammad Shojafar
Zahra Pooranian
A. Miri
Mauro Conti
AAML
168
97
0
13 Aug 2019
EdgeNet: Semantic Scene Completion from a Single RGB-D Image
EdgeNet: Semantic Scene Completion from a Single RGB-D ImageInternational Conference on Pattern Recognition (ICPR), 2019
Aloisio Dourado
Teofilo de Campos
Hansung Kim
A. Hilton
3DV3DPC
153
22
0
08 Aug 2019
Distributed Deep Convolutional Neural Networks for the
  Internet-of-Things
Distributed Deep Convolutional Neural Networks for the Internet-of-ThingsIEEE transactions on computers (IEEE Trans. Comput.), 2019
Simone Disabato
M. Roveri
Cesare Alippi
110
57
0
02 Aug 2019
A Deep Learning Approach for Real-Time 3D Human Action Recognition from
  Skeletal Data
A Deep Learning Approach for Real-Time 3D Human Action Recognition from Skeletal DataInternational Conference on Image Analysis and Recognition (ICIAR), 2019
H. Pham
H. Salmane
L. Khoudour
Alain Crouzil
Pablo Zegers
S. Velastín
3DH
94
7
0
08 Jul 2019
Deep Learning-Based Decoding of Constrained Sequence Codes
Deep Learning-Based Decoding of Constrained Sequence CodesIEEE Journal on Selected Areas in Communications (JSAC), 2019
Congzhe Cao
Duanshun Li
Ivan J. Fair
3DVAI4TS
110
19
0
13 Jun 2019
On Network Design Spaces for Visual Recognition
On Network Design Spaces for Visual RecognitionIEEE International Conference on Computer Vision (ICCV), 2019
Ilija Radosavovic
Justin Johnson
Saining Xie
Wan-Yen Lo
Piotr Dollár
161
145
0
30 May 2019
Object Detection in 20 Years: A Survey
Object Detection in 20 Years: A SurveyProceedings of the IEEE (Proc. IEEE), 2019
Zhengxia Zou
Keyan Chen
Zhenwei Shi
Yuhong Guo
Jieping Ye
VLMObjDAI4TS
307
2,904
0
13 May 2019
Ensemble Convolutional Neural Networks for Mode Inference in Smartphone
  Travel Survey
Ensemble Convolutional Neural Networks for Mode Inference in Smartphone Travel Survey
A. Yazdizadeh
Zachary Patterson
Bilal Farooq
AI4TS
60
56
0
18 Apr 2019
ThumbNet: One Thumbnail Image Contains All You Need for Recognition
ThumbNet: One Thumbnail Image Contains All You Need for Recognition
Chen Zhao
Guohao Li
160
12
0
10 Apr 2019
ANTNets: Mobile Convolutional Neural Networks for Resource Efficient
  Image Classification
ANTNets: Mobile Convolutional Neural Networks for Resource Efficient Image Classification
Yunyang Xiong
Hyunwoo Kim
Varsha Hedau
137
19
0
07 Apr 2019
Deep Octonion Networks
Deep Octonion Networks
Jiasong Wu
Ling Xu
Youyong Kong
L. Senhadji
H. Shu
129
47
0
20 Mar 2019
Convolution with even-sized kernels and symmetric padding
Convolution with even-sized kernels and symmetric paddingNeural Information Processing Systems (NeurIPS), 2019
Shuang Wu
Guanrui Wang
Pei Tang
F. Chen
Luping Shi
164
77
0
20 Mar 2019
HetConv: Heterogeneous Kernel-Based Convolutions for Deep CNNs
HetConv: Heterogeneous Kernel-Based Convolutions for Deep CNNs
Pravendra Singh
Vinay Kumar Verma
Piyush Rai
Vinay P. Namboodiri
180
112
0
11 Mar 2019
MFQE 2.0: A New Approach for Multi-frame Quality Enhancement on
  Compressed Video
MFQE 2.0: A New Approach for Multi-frame Quality Enhancement on Compressed Video
Qunliang Xing
Zhenyu Guan
Mai Xu
Ren Yang
Tie Liu
Zulin Wang
173
218
0
26 Feb 2019
Deep Learning on Attributed Graphs: A Journey from Graphs to Their
  Embeddings and Back
Deep Learning on Attributed Graphs: A Journey from Graphs to Their Embeddings and Back
M. Simonovsky
BDLGNN
125
1
0
24 Jan 2019
Semantic Image Networks for Human Action Recognition
Semantic Image Networks for Human Action Recognition
Sunder Ali Khowaja
Seok-Lyong Lee
81
34
0
21 Jan 2019
Residual-CNDS for Grand Challenge Scene Dataset
Residual-CNDS for Grand Challenge Scene Dataset
Hussein A. Al-Barazanchi
Hussam Qassim
David Feinzimer
Abhishek Verma
3DV
43
0
0
13 Jan 2019
Learning to Recognize 3D Human Action from A New Skeleton-based
  Representation Using Deep Convolutional Neural Networks
Learning to Recognize 3D Human Action from A New Skeleton-based Representation Using Deep Convolutional Neural Networks
H. Pham
L. Khoudour
Alain Crouzil
Pablo Zegers
S. Velastín
3DH
65
27
0
26 Dec 2018
Winter Road Surface Condition Recognition Using A Pretrained Deep
  Convolutional Network
Winter Road Surface Condition Recognition Using A Pretrained Deep Convolutional Network
Guangyuan Pan
L. Fu
Ruifan Yu
Matthew Muresan
60
16
0
17 Dec 2018
Automatic quantification of the LV function and mass: a deep learning
  approach for cardiovascular MRI
Automatic quantification of the LV function and mass: a deep learning approach for cardiovascular MRI
A. Curiale
F. D. Colavecchia
G. Mato
73
33
0
14 Dec 2018
Analysis on Gradient Propagation in Batch Normalized Residual Networks
Analysis on Gradient Propagation in Batch Normalized Residual Networks
A. Panigrahi
Yueru Chen
C.-C. Jay Kuo
FAtt
25
8
0
02 Dec 2018
Assessing four Neural Networks on Handwritten Digit Recognition Dataset
  (MNIST)
Assessing four Neural Networks on Handwritten Digit Recognition Dataset (MNIST)Journal of Computer Science Research (JCSR), 2018
Feiyang Chen
Nan Chen
Hanyang Mao
Hanlin Hu
122
42
0
16 Nov 2018
Building Footprint Generation Using Improved Generative Adversarial
  Networks
Building Footprint Generation Using Improved Generative Adversarial Networks
Yilei Shi
Qingyu Li
Xiaoxiang Zhu
GAN
96
51
0
26 Oct 2018
Using Neural Networks to Generate Information Maps for Mobile Sensors
Using Neural Networks to Generate Information Maps for Mobile SensorsIEEE Conference on Decision and Control (CDC), 2018
L. Dressel
Mykel J. Kochenderfer
HAI
94
3
0
26 Sep 2018
Deep Learning-Based Decoding for Constrained Sequence Codes
Deep Learning-Based Decoding for Constrained Sequence Codes
Congzhe Cao
Duanshun Li
Ivan J. Fair
74
3
0
06 Sep 2018
Total Recall: Understanding Traffic Signs using Deep Hierarchical
  Convolutional Neural Networks
Total Recall: Understanding Traffic Signs using Deep Hierarchical Convolutional Neural Networks
Sourajit Saha
Sharif Amit Kamran
A. Sabbir
60
11
0
30 Aug 2018
BlockQNN: Efficient Block-wise Neural Network Architecture Generation
BlockQNN: Efficient Block-wise Neural Network Architecture Generation
Zhaobai Zhong
Zichen Yang
Boyang Deng
Junjie Yan
Wei Wu
Jing Shao
Cheng-Lin Liu
157
127
0
16 Aug 2018
A Survey on Methods and Theories of Quantized Neural Networks
A Survey on Methods and Theories of Quantized Neural Networks
Yunhui Guo
MQ
230
254
0
13 Aug 2018
CT Super-resolution GAN Constrained by the Identical, Residual, and
  Cycle Learning Ensemble(GAN-CIRCLE)
CT Super-resolution GAN Constrained by the Identical, Residual, and Cycle Learning Ensemble(GAN-CIRCLE)
Chenyu You
Guang Li
Yi Zhang
Xiaoliu Zhang
Hongming Shan
...
Zhuiyang Zhang
W. Cong
Michael W. Vannier
P. Saha
Ge Wang
MedImGANSupR
133
449
0
10 Aug 2018
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