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Densely Connected Convolutional Networks
v1v2v3v4v5 (latest)

Densely Connected Convolutional Networks

25 August 2016
Gao Huang
Zhuang Liu
Laurens van der Maaten
Kilian Q. Weinberger
    PINN3DV
ArXiv (abs)PDFHTMLGithub (4813★)

Papers citing "Densely Connected Convolutional Networks"

50 / 7,872 papers shown
Title
The CoSTAR Block Stacking Dataset: Learning with Workspace Constraints
The CoSTAR Block Stacking Dataset: Learning with Workspace Constraints
Andrew Hundt
Varun Jain
Chia-Hung Lin
Chris Paxton
Gregory Hager
76
12
0
27 Oct 2018
3D MRI brain tumor segmentation using autoencoder regularization
3D MRI brain tumor segmentation using autoencoder regularization
Andriy Myronenko
106
1,055
0
27 Oct 2018
Fabrik: An Online Collaborative Neural Network Editor
Fabrik: An Online Collaborative Neural Network Editor
Utsav Garg
Viraj Prabhu
Deshraj Yadav
Ram Ramrakhya
Harsh Agrawal
Dhruv Batra
GNN
65
4
0
27 Oct 2018
Structure Learning of Deep Networks via DNA Computing Algorithm
Structure Learning of Deep Networks via DNA Computing Algorithm
G. Zhong
Tao Li
Wenxue Liu
Yang Chen
38
4
0
25 Oct 2018
Exploiting Deep Representations for Neural Machine Translation
Exploiting Deep Representations for Neural Machine Translation
Zi-Yi Dou
Zhaopeng Tu
Xing Wang
Shuming Shi
Tong Zhang
108
93
0
24 Oct 2018
End-to-End Diagnosis and Segmentation Learning from Cardiac Magnetic
  Resonance Imaging
End-to-End Diagnosis and Segmentation Learning from Cardiac Magnetic Resonance Imaging
G. Snaauw
Dong Gong
Gabriel Maicas
Anton Van Den Hengel
W. Niessen
Johan Verjans
G. Carneiro
37
24
0
23 Oct 2018
NestDNN: Resource-Aware Multi-Tenant On-Device Deep Learning for
  Continuous Mobile Vision
NestDNN: Resource-Aware Multi-Tenant On-Device Deep Learning for Continuous Mobile Vision
Biyi Fang
Xiao Zeng
Mi Zhang
3DH
96
269
0
23 Oct 2018
Deep Graph Convolutional Encoders for Structured Data to Text Generation
Deep Graph Convolutional Encoders for Structured Data to Text Generation
Diego Marcheggiani
Laura Perez-Beltrachini
GNN
57
122
0
23 Oct 2018
DropFilter: Dropout for Convolutions
DropFilter: Dropout for Convolutions
Zhengsu Chen
35
4
0
23 Oct 2018
How to train your MAML
How to train your MAML
Antreas Antoniou
Harrison Edwards
Amos Storkey
81
780
0
22 Oct 2018
Single Image Haze Removal using a Generative Adversarial Network
Single Image Haze Removal using a Generative Adversarial Network
N. BharathRaj
N. Venkateswaran
GAN
65
40
0
22 Oct 2018
Graph Convolutional Reinforcement Learning
Graph Convolutional Reinforcement Learning
Jiechuan Jiang
Chen Dun
Tiejun Huang
Zongqing Lu
GNN
82
339
0
22 Oct 2018
Dermatologist Level Dermoscopy Skin Cancer Classification Using
  Different Deep Learning Convolutional Neural Networks Algorithms
Dermatologist Level Dermoscopy Skin Cancer Classification Using Different Deep Learning Convolutional Neural Networks Algorithms
Amirreza Rezvantalab
H. Safigholi
Somayeh Karimijeshni
59
105
0
21 Oct 2018
Lightweight Convolutional Approaches to Reading Comprehension on SQuAD
Lightweight Convolutional Approaches to Reading Comprehension on SQuAD
T. Bell
Benjamin Penchas
24
3
0
19 Oct 2018
On Extensions of CLEVER: A Neural Network Robustness Evaluation
  Algorithm
On Extensions of CLEVER: A Neural Network Robustness Evaluation Algorithm
Tsui-Wei Weng
Huan Zhang
Pin-Yu Chen
A. Lozano
Cho-Jui Hsieh
Luca Daniel
51
10
0
19 Oct 2018
ScratchDet: Training Single-Shot Object Detectors from Scratch
ScratchDet: Training Single-Shot Object Detectors from Scratch
Rui Zhu
Shifeng Zhang
Xiaobo Wang
Longyin Wen
Hailin Shi
Liefeng Bo
Tao Mei
ObjD
115
125
0
19 Oct 2018
Transferrable Feature and Projection Learning with Class Hierarchy for
  Zero-Shot Learning
Transferrable Feature and Projection Learning with Class Hierarchy for Zero-Shot Learning
Aoxue Li
Zhiwu Lu
Jiechao Guan
Tao Xiang
Liwei Wang
Ji-Rong Wen
VLM
60
20
0
19 Oct 2018
Sequenced-Replacement Sampling for Deep Learning
Sequenced-Replacement Sampling for Deep Learning
C. Ho
Dae Hoon Park
Wei Yang
Yi Chang
35
0
0
19 Oct 2018
Deep Learning Methods for Reynolds-Averaged Navier-Stokes Simulations of
  Airfoil Flows
Deep Learning Methods for Reynolds-Averaged Navier-Stokes Simulations of Airfoil Flows
Nils Thuerey
Konstantin Weissenow
L. Prantl
Xiangyu Y. Hu
AI4CE
86
387
0
18 Oct 2018
Implicit Dual-domain Convolutional Network for Robust Color Image
  Compression Artifact Reduction
Implicit Dual-domain Convolutional Network for Robust Color Image Compression Artifact Reduction
Bolun Zheng
Yao-wu Chen
Xiang Tian
Fan Zhou
Xuesong Liu
90
79
0
18 Oct 2018
LeukoNet: DCT-based CNN architecture for the classification of normal
  versus Leukemic blasts in B-ALL Cancer
LeukoNet: DCT-based CNN architecture for the classification of normal versus Leukemic blasts in B-ALL Cancer
Simmi Mourya
Sonaal Kant
Pulkit Kumar
Anubha Gupta
Ritu Gupta
MedIm
56
29
0
18 Oct 2018
ReDMark: Framework for Residual Diffusion Watermarking on Deep Networks
ReDMark: Framework for Residual Diffusion Watermarking on Deep Networks
Mahdi Ahmadi
Alireza Norouzi
S. M. Reza Soroushmehr
N. Karimi
Kayvan Najarian
S. Samavi
Ali Emami
WIGM
58
224
0
16 Oct 2018
Dense Multi-path U-Net for Ischemic Stroke Lesion Segmentation in
  Multiple Image Modalities
Dense Multi-path U-Net for Ischemic Stroke Lesion Segmentation in Multiple Image Modalities
Jose Dolz
Ismail Ben Ayed
Christian Desrosiers
82
100
0
16 Oct 2018
Bottleneck Supervised U-Net for Pixel-wise Liver and Tumor Segmentation
Bottleneck Supervised U-Net for Pixel-wise Liver and Tumor Segmentation
Song Li
Geoffrey Tso
SSeg
30
17
0
16 Oct 2018
Collaborative Deep Learning Across Multiple Data Centers
Collaborative Deep Learning Across Multiple Data Centers
Kele Xu
Haibo Mi
Dawei Feng
Huaimin Wang
Chuan Chen
Zibin Zheng
Xu Lan
FedML
344
18
0
16 Oct 2018
Approximate Fisher Information Matrix to Characterise the Training of
  Deep Neural Networks
Approximate Fisher Information Matrix to Characterise the Training of Deep Neural Networks
Zhibin Liao
Tom Drummond
Ian Reid
G. Carneiro
80
23
0
16 Oct 2018
Learning to Segment Corneal Tissue Interfaces in OCT Images
Learning to Segment Corneal Tissue Interfaces in OCT Images
T. Mathai
K. Lathrop
J. Galeotti
64
20
0
15 Oct 2018
Channel Splitting Network for Single MR Image Super-Resolution
Channel Splitting Network for Single MR Image Super-Resolution
Xiaole Zhao
Yulun Zhang
Zhang Tao
Xueming Zou
SupR
88
138
0
15 Oct 2018
Revisit Batch Normalization: New Understanding from an Optimization View
  and a Refinement via Composition Optimization
Revisit Batch Normalization: New Understanding from an Optimization View and a Refinement via Composition Optimization
Xiangru Lian
Ji Liu
38
6
0
15 Oct 2018
Fine-Grained Classification of Cervical Cells Using Morphological and
  Appearance Based Convolutional Neural Networks
Fine-Grained Classification of Cervical Cells Using Morphological and Appearance Based Convolutional Neural Networks
Haoming Lin
Yuyang Hu
Siping Chen
Jianhua Yao
Ling Zhang
41
89
0
14 Oct 2018
Varifocal-Net: A Chromosome Classification Approach using Deep
  Convolutional Networks
Varifocal-Net: A Chromosome Classification Approach using Deep Convolutional Networks
Yulei Qin
Juan Wen
Hao Zheng
Xiaolin Huang
Jie Yang
Ning-jing Song
Y. Zhu
Lingqian Wu
Guang-Zhong Yang
39
73
0
13 Oct 2018
Graph HyperNetworks for Neural Architecture Search
Graph HyperNetworks for Neural Architecture Search
Chris Zhang
Mengye Ren
R. Urtasun
GNN
102
280
0
12 Oct 2018
U-Net: Machine Reading Comprehension with Unanswerable Questions
U-Net: Machine Reading Comprehension with Unanswerable Questions
Fu Sun
Linyang Li
Xipeng Qiu
Yang Liu
93
47
0
12 Oct 2018
Rethinking the Value of Network Pruning
Rethinking the Value of Network Pruning
Zhuang Liu
Mingjie Sun
Tinghui Zhou
Gao Huang
Trevor Darrell
44
1,480
0
11 Oct 2018
MeshAdv: Adversarial Meshes for Visual Recognition
MeshAdv: Adversarial Meshes for Visual Recognition
Chaowei Xiao
Dawei Yang
Yue Liu
Jia Deng
M. Liu
AAML
63
25
0
11 Oct 2018
Deep Bi-Dense Networks for Image Super-Resolution
Deep Bi-Dense Networks for Image Super-Resolution
Yucheng Wang
Jialiang Shen
Jian Zhang
SupR
35
9
0
11 Oct 2018
Complementary-Label Learning for Arbitrary Losses and Models
Complementary-Label Learning for Arbitrary Losses and Models
Takashi Ishida
Gang Niu
A. Menon
Masashi Sugiyama
VLM
102
113
0
10 Oct 2018
NSGA-Net: Neural Architecture Search using Multi-Objective Genetic
  Algorithm
NSGA-Net: Neural Architecture Search using Multi-Objective Genetic Algorithm
Zhichao Lu
Ian Whalen
Vishnu Boddeti
Yashesh D. Dhebar
Kalyanmoy Deb
E. Goodman
W. Banzhaf
87
81
0
08 Oct 2018
Security Analysis of Deep Neural Networks Operating in the Presence of
  Cache Side-Channel Attacks
Security Analysis of Deep Neural Networks Operating in the Presence of Cache Side-Channel Attacks
Sanghyun Hong
Michael Davinroy
Yigitcan Kaya
S. Locke
Ian Rackow
Kevin Kulda
Dana Dachman-Soled
Tudor Dumitras
MIACV
84
90
0
08 Oct 2018
Light-Weight RefineNet for Real-Time Semantic Segmentation
Light-Weight RefineNet for Real-Time Semantic Segmentation
Vladimir Nekrasov
Chunhua Shen
Ian Reid
SSegVLM
91
148
0
08 Oct 2018
Triple Attention Mixed Link Network for Single Image Super Resolution
Triple Attention Mixed Link Network for Single Image Super Resolution
Xi Cheng
Xiang Li
Jian Yang
SupR
21
9
0
08 Oct 2018
CSI-Net: Unified Human Body Characterization and Pose Recognition
CSI-Net: Unified Human Body Characterization and Pose Recognition
Fei Wang
Jinsong Han
Shiyuan Zhang
Xuming He
Dong Huang
CVBM
81
13
0
07 Oct 2018
Deep convolutional Gaussian processes
Deep convolutional Gaussian processes
Kenneth Blomqvist
Samuel Kaski
Markus Heinonen
BDL
91
61
0
06 Oct 2018
Deep Geodesic Learning for Segmentation and Anatomical Landmarking
Deep Geodesic Learning for Segmentation and Anatomical Landmarking
N. Torosdagli
D. Liberton
P. Verma
M. Sincan
Janice S. Lee
Ulas Bagci
62
108
0
06 Oct 2018
Co-Stack Residual Affinity Networks with Multi-level Attention
  Refinement for Matching Text Sequences
Co-Stack Residual Affinity Networks with Multi-level Attention Refinement for Matching Text Sequences
Yi Tay
Anh Tuan Luu
S. Hui
81
37
0
06 Oct 2018
Interpretable Convolutional Neural Networks via Feedforward Design
Interpretable Convolutional Neural Networks via Feedforward Design
C.-C. Jay Kuo
Min Zhang
Siyang Li
Jiali Duan
Yueru Chen
88
157
0
05 Oct 2018
Improving the Segmentation of Anatomical Structures in Chest Radiographs
  using U-Net with an ImageNet Pre-trained Encoder
Improving the Segmentation of Anatomical Structures in Chest Radiographs using U-Net with an ImageNet Pre-trained Encoder
Maayan Frid-Adar
Avi Ben-Cohen
Rula Amer
H. Greenspan
SSegAI4CE
84
63
0
04 Oct 2018
Optimization Algorithm Inspired Deep Neural Network Structure Design
Optimization Algorithm Inspired Deep Neural Network Structure Design
Huan Li
Yibo Yang
Dongmin Chen
Zhouchen Lin
60
37
0
03 Oct 2018
Relative Saliency and Ranking: Models, Metrics, Data, and Benchmarks
Relative Saliency and Ranking: Models, Metrics, Data, and Benchmarks
Mahmoud Kalash
Md. Amirul Islam
Neil D. B. Bruce
77
13
0
03 Oct 2018
Adversarial Examples - A Complete Characterisation of the Phenomenon
Adversarial Examples - A Complete Characterisation of the Phenomenon
A. Serban
E. Poll
Joost Visser
SILMAAML
102
49
0
02 Oct 2018
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