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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 / 7,873 papers shown
Title
IVD-Net: Intervertebral disc localization and segmentation in MRI with a
  multi-modal UNet
IVD-Net: Intervertebral disc localization and segmentation in MRI with a multi-modal UNet
Jose Dolz
Christian Desrosiers
Ismail Ben Ayed
93
113
0
19 Nov 2018
Self-Referenced Deep Learning
Self-Referenced Deep Learning
Xu Lan
Xiatian Zhu
S. Gong
123
24
0
19 Nov 2018
Deep Frank-Wolfe For Neural Network Optimization
Deep Frank-Wolfe For Neural Network Optimization
Leonard Berrada
Andrew Zisserman
M. P. Kumar
ODL
67
40
0
19 Nov 2018
Representation based and Attention augmented Meta learning
Representation based and Attention augmented Meta learning
Yunxiao Qin
Chenxu Zhao
Zezheng Wang
Junliang Xing
Jun Wan
Zhen Lei
34
1
0
19 Nov 2018
A Pretrained DenseNet Encoder for Brain Tumor Segmentation
A Pretrained DenseNet Encoder for Brain Tumor Segmentation
J. Stawiaski
3DV
71
21
0
19 Nov 2018
Variational Bayesian Dropout with a Hierarchical Prior
Variational Bayesian Dropout with a Hierarchical Prior
Yuhang Liu
Wenyong Dong
Lei Zhang
Dong Gong
Javen Qinfeng Shi
BDL
52
18
0
19 Nov 2018
Re-Identification with Consistent Attentive Siamese Networks
Re-Identification with Consistent Attentive Siamese Networks
Meng Zheng
Srikrishna Karanam
Ziyan Wu
Richard J. Radke
89
228
0
19 Nov 2018
Pixel-Anchor: A Fast Oriented Scene Text Detector with Combined Networks
Pixel-Anchor: A Fast Oriented Scene Text Detector with Combined Networks
Yuan Li
Yuanjie Yu
Zefeng Li
Yang-Tao Lin
Meifang Xu
Jiwei Li
Xi Zhou
ObjD
63
32
0
19 Nov 2018
Multimodal Densenet
Multimodal Densenet
Faisal Mahmood
Ziyun Yang
Thomas Ashley
Nicholas J. Durr
124
11
0
18 Nov 2018
Analyzing Machine Learning Workloads Using a Detailed GPU Simulator
Analyzing Machine Learning Workloads Using a Detailed GPU Simulator
Jonathan Lew
Deval Shah
Suchita Pati
Shaylin Cattell
Mengchi Zhang
...
Christopher Ng
Negar Goli
Matthew D. Sinclair
Timothy G. Rogers
Tor M. Aamodt
64
65
0
18 Nov 2018
RePr: Improved Training of Convolutional Filters
RePr: Improved Training of Convolutional Filters
Aaditya (Adi) Prakash
J. Storer
D. Florêncio
Cha Zhang
VLMCVBM
93
57
0
18 Nov 2018
A Statistical Approach to Assessing Neural Network Robustness
A Statistical Approach to Assessing Neural Network Robustness
Stefan Webb
Tom Rainforth
Yee Whye Teh
M. P. Kumar
AAML
80
83
0
17 Nov 2018
SCRDet: Towards More Robust Detection for Small, Cluttered and Rotated
  Objects
SCRDet: Towards More Robust Detection for Small, Cluttered and Rotated Objects
Xue Yang
Jirui Yang
Kun Fu
Yue Zhang
Tengfei Zhang
Zhi Guo
Ming Yan
Kun Fu
ObjD
84
44
0
17 Nov 2018
Assessing four Neural Networks on Handwritten Digit Recognition Dataset
  (MNIST)
Assessing four Neural Networks on Handwritten Digit Recognition Dataset (MNIST)
Feiyang Chen
Nan Chen
Hanyang Mao
Hanlin Hu
86
37
0
16 Nov 2018
Stochastic Adaptive Neural Architecture Search for Keyword Spotting
Stochastic Adaptive Neural Architecture Search for Keyword Spotting
Tom Véniat
Olivier Schwander
Ludovic Denoyer
AI4TS
62
25
0
16 Nov 2018
Composite Binary Decomposition Networks
Composite Binary Decomposition Networks
You Qiaoben
Ziyi Wang
Jianguo Li
Yinpeng Dong
Yu-Gang Jiang
Jun Zhu
MQ
16
0
0
16 Nov 2018
Learning to Predict the Cosmological Structure Formation
Learning to Predict the Cosmological Structure Formation
Siyu He
Yin Li
Yu Feng
S. Ho
Siamak Ravanbakhsh
Wei Chen
Barnabás Póczós
92
172
0
15 Nov 2018
Selective Feature Connection Mechanism: Concatenating Multi-layer CNN
  Features with a Feature Selector
Selective Feature Connection Mechanism: Concatenating Multi-layer CNN Features with a Feature Selector
Chen Du
Chunheng Wang
Yanna Wang
Cunzhao Shi
Baihua Xiao
51
43
0
15 Nov 2018
Deep Q learning for fooling neural networks
Deep Q learning for fooling neural networks
Mandar M. Kulkarni
39
0
0
13 Nov 2018
Gradient Harmonized Single-stage Detector
Gradient Harmonized Single-stage Detector
Buyu Li
Yu Liu
Xiaogang Wang
ObjD
68
532
0
13 Nov 2018
Focusing on the Big Picture: Insights into a Systems Approach to Deep
  Learning for Satellite Imagery
Focusing on the Big Picture: Insights into a Systems Approach to Deep Learning for Satellite Imagery
Ritwik Gupta
Carson D. Sestili
J. Vazquez-Trejo
Matthew E. Gaston
VLM
27
2
0
12 Nov 2018
Learning The Invisible: A Hybrid Deep Learning-Shearlet Framework for
  Limited Angle Computed Tomography
Learning The Invisible: A Hybrid Deep Learning-Shearlet Framework for Limited Angle Computed Tomography
T. Bubba
Gitta Kutyniok
Matti Lassas
M. März
Wojciech Samek
S. Siltanen
Vignesh Srinivasan
164
136
0
12 Nov 2018
M2Det: A Single-Shot Object Detector based on Multi-Level Feature
  Pyramid Network
M2Det: A Single-Shot Object Detector based on Multi-Level Feature Pyramid Network
Qijie Zhao
Tao Sheng
Yongtao Wang
Zhi Tang
Ying-Cong Chen
Lingyi Cai
Haibin Ling
ObjD
63
801
0
12 Nov 2018
Agent Embeddings: A Latent Representation for Pole-Balancing Networks
Agent Embeddings: A Latent Representation for Pole-Balancing Networks
Oscar Chang
Robert Kwiatkowski
Siyuan Chen
Hod Lipson
144
6
0
12 Nov 2018
ReSet: Learning Recurrent Dynamic Routing in ResNet-like Neural Networks
ReSet: Learning Recurrent Dynamic Routing in ResNet-like Neural Networks
Iurii Kemaev
Daniil Polykovskiy
Dmitry Vetrov
SSeg
42
3
0
11 Nov 2018
Scene Text Detection and Recognition: The Deep Learning Era
Scene Text Detection and Recognition: The Deep Learning Era
Shangbang Long
Xin He
Cong Yao
VLM
176
400
0
10 Nov 2018
Scene Parsing via Dense Recurrent Neural Networks with Attentional
  Selection
Scene Parsing via Dense Recurrent Neural Networks with Attentional Selection
Heng Fan
Peng Chu
Longin Jan Latecki
Haibin Ling
79
14
0
09 Nov 2018
Can Deep Learning Outperform Modern Commercial CT Image Reconstruction
  Methods?
Can Deep Learning Outperform Modern Commercial CT Image Reconstruction Methods?
Deepak Mishra
Atul Padole
AP Prathosh
Aravind Jayendran
R. Khera
Varun Srivastava
S. Chaudhury
Ge Wang
OOD3DV
95
327
0
08 Nov 2018
Activation Functions: Comparison of trends in Practice and Research for
  Deep Learning
Activation Functions: Comparison of trends in Practice and Research for Deep Learning
S. Bodenstedt
Dominik Rivoir
A. Gachagan
S. T. Mees
108
1,280
0
08 Nov 2018
Prototypical Clustering Networks for Dermatological Disease Diagnosis
Prototypical Clustering Networks for Dermatological Disease Diagnosis
Siyu Dai
Shawn Schaffert
Murali Ravuri
Manish Chablani
David Sontag
B. Williams
78
18
0
07 Nov 2018
PaDNet: Pan-Density Crowd Counting
PaDNet: Pan-Density Crowd Counting
Yukun Tian
Yiming Lei
Junping Zhang
Ming Wang
93
102
0
07 Nov 2018
Super-Identity Convolutional Neural Network for Face Hallucination
Super-Identity Convolutional Neural Network for Face Hallucination
Kaipeng Zhang
Zhanpeng Zhang
Chia-Wen Cheng
Winston H. Hsu
L. Burget
Wen Liu
Tong Zhang
SupR
81
131
0
06 Nov 2018
SparseFool: a few pixels make a big difference
SparseFool: a few pixels make a big difference
Apostolos Modas
Seyed-Mohsen Moosavi-Dezfooli
P. Frossard
AAML
72
199
0
06 Nov 2018
Continual Occlusions and Optical Flow Estimation
Continual Occlusions and Optical Flow Estimation
Michal Neoral
Jan Sochman
Jirí Matas
63
17
0
05 Nov 2018
Learning from Large-scale Noisy Web Data with Ubiquitous Reweighting for
  Image Classification
Learning from Large-scale Noisy Web Data with Ubiquitous Reweighting for Image Classification
Jia Li
Yafei Song
Jian-Qi Zhu
Lele Cheng
Ying Su
Lin Ye
P. Yuan
Shumin Han
NoLa
64
23
0
02 Nov 2018
Improving Adversarial Robustness by Encouraging Discriminative Features
Improving Adversarial Robustness by Encouraging Discriminative Features
Chirag Agarwal
Anh Totti Nguyen
Dan Schonfeld
OOD
59
5
0
01 Nov 2018
Hybrid Pruning: Thinner Sparse Networks for Fast Inference on Edge
  Devices
Hybrid Pruning: Thinner Sparse Networks for Fast Inference on Edge Devices
Xiaofang Xu
M. Park
C. Brick
62
26
0
01 Nov 2018
Bias Reduction via End-to-End Shift Learning: Application to Citizen
  Science
Bias Reduction via End-to-End Shift Learning: Application to Citizen Science
Di Chen
Carla P. Gomes
62
19
0
01 Nov 2018
Dial2Desc: End-to-end Dialogue Description Generation
Dial2Desc: End-to-end Dialogue Description Generation
Haojie Pan
Junpei Zhou
Zhou Zhao
Yan Liu
Deng Cai
Min Yang
VLM
50
14
0
01 Nov 2018
Performance assessment of the deep learning technologies in grading
  glaucoma severity
Performance assessment of the deep learning technologies in grading glaucoma severity
Yi Zhen
Lei Wang
Han Liu
Jian Zhang
J. Pu
40
13
0
31 Oct 2018
Multimodal Machine Learning for Automated ICD Coding
Multimodal Machine Learning for Automated ICD Coding
Keyang Xu
Mike Lam
Jingzhi Pang
Xin Gao
Charlotte Band
...
A. Khanna
J. Cywinski
K. Maheshwari
P. Xie
Eric Xing
77
109
0
31 Oct 2018
The Medico-Task 2018: Disease Detection in the Gastrointestinal Tract
  using Global Features and Deep Learning
The Medico-Task 2018: Disease Detection in the Gastrointestinal Tract using Global Features and Deep Learning
Vajira Thambawita
Debesh Jha
Michael Riegler
Pål Halvorsen
Hugo Lewi Hammer
H. Johansen
Dag Johansen
49
24
0
31 Oct 2018
Methods for Segmentation and Classification of Digital Microscopy Tissue
  Images
Methods for Segmentation and Classification of Digital Microscopy Tissue Images
Q. Vu
S. Graham
Minh-Son To
Muhammad Shaban
Talha Qaiser
...
Tianhao Zhao
Rajarsi R. Gupta
J. T. Kwak
Nasir M. Rajpoot
Joel H. Saltz
129
275
0
31 Oct 2018
Structure Learning of Deep Neural Networks with Q-Learning
Structure Learning of Deep Neural Networks with Q-Learning
G. Zhong
Wencong Jiao
Wei Gao
67
0
0
31 Oct 2018
SDFN: Segmentation-based Deep Fusion Network for Thoracic Disease
  Classification in Chest X-ray Images
SDFN: Segmentation-based Deep Fusion Network for Thoracic Disease Classification in Chest X-ray Images
Han Liu
Lei Wang
Y. Nan
F. Jin
Qi Wang
J. Pu
191
96
0
30 Oct 2018
DropBlock: A regularization method for convolutional networks
DropBlock: A regularization method for convolutional networks
Golnaz Ghiasi
Nayeon Lee
Quoc V. Le
124
917
0
30 Oct 2018
General audio tagging with ensembling convolutional neural network and
  statistical features
General audio tagging with ensembling convolutional neural network and statistical features
Kele Xu
Boqing Zhu
Qiuqiang Kong
Haibo Mi
Bo Ding
Dezhi Wang
Huaimin Wang
40
30
0
30 Oct 2018
SubSpectralNet - Using Sub-Spectrogram based Convolutional Neural
  Networks for Acoustic Scene Classification
SubSpectralNet - Using Sub-Spectrogram based Convolutional Neural Networks for Acoustic Scene Classification
Sai Samarth R. Phaye
Emmanouil Benetos
Ye Wang
85
72
0
30 Oct 2018
Shape and Margin-Aware Lung Nodule Classification in Low-dose CT Images
  via Soft Activation Mapping
Shape and Margin-Aware Lung Nodule Classification in Low-dose CT Images via Soft Activation Mapping
Yiming Lei
Yukun Tian
Hongming Shan
Junping Zhang
Ge Wang
Mannudeep K. Kalra
53
79
0
30 Oct 2018
Learning to Teach with Dynamic Loss Functions
Learning to Teach with Dynamic Loss Functions
Lijun Wu
Fei Tian
Yingce Xia
Yang Fan
Tao Qin
Jianhuang Lai
Tie-Yan Liu
78
112
0
29 Oct 2018
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