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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 / 7,886 papers shown
Title
Deep CNN-based Multi-task Learning for Open-Set Recognition
Deep CNN-based Multi-task Learning for Open-Set Recognition
Poojan Oza
Vishal M. Patel
79
35
0
07 Mar 2019
A Learnable ScatterNet: Locally Invariant Convolutional Layers
A Learnable ScatterNet: Locally Invariant Convolutional Layers
Fergal Cotter
N. Kingsbury
51
22
0
07 Mar 2019
Robust and Communication-Efficient Federated Learning from Non-IID Data
Robust and Communication-Efficient Federated Learning from Non-IID Data
Felix Sattler
Simon Wiedemann
K. Müller
Wojciech Samek
FedML
79
1,368
0
07 Mar 2019
CE-Net: Context Encoder Network for 2D Medical Image Segmentation
CE-Net: Context Encoder Network for 2D Medical Image Segmentation
Zaiwang Gu
Jun Cheng
Huazhu Fu
Kang Zhou
Huaying Hao
Yitian Zhao
Tianyang Zhang
Shenghua Gao
Jiang-Dong Liu
SSeg
90
1,651
0
07 Mar 2019
Positively Scale-Invariant Flatness of ReLU Neural Networks
Positively Scale-Invariant Flatness of ReLU Neural Networks
Mingyang Yi
Qi Meng
Wei-neng Chen
Zhi-Ming Ma
Tie-Yan Liu
76
18
0
06 Mar 2019
Deep Transfer Learning for Multiple Class Novelty Detection
Deep Transfer Learning for Multiple Class Novelty Detection
Pramuditha Perera
Vishal M. Patel
113
99
0
06 Mar 2019
Decoders Matter for Semantic Segmentation: Data-Dependent Decoding
  Enables Flexible Feature Aggregation
Decoders Matter for Semantic Segmentation: Data-Dependent Decoding Enables Flexible Feature Aggregation
Zhi Tian
Tong He
Chunhua Shen
Youliang Yan
88
216
0
05 Mar 2019
Revisiting the Evaluation of Uncertainty Estimation and Its Application
  to Explore Model Complexity-Uncertainty Trade-Off
Revisiting the Evaluation of Uncertainty Estimation and Its Application to Explore Model Complexity-Uncertainty Trade-Off
Yukun Ding
Jinglan Liu
Jinjun Xiong
Yiyu Shi
61
13
0
05 Mar 2019
Deep Learning in Medical Image Registration: A Survey
Deep Learning in Medical Image Registration: A Survey
Grant Haskins
Uwe Krüger
Pingkun Yan
MedIm
115
598
0
05 Mar 2019
Copying Machine Learning Classifiers
Copying Machine Learning Classifiers
Irene Unceta
Jordi Nin
O. Pujol
96
18
0
05 Mar 2019
Deep Active Localization
Deep Active Localization
S. Gottipati
K. Seo
Dhaivat Bhatt
Vincent Mai
Krishna Murthy Jatavallabhula
Liam Paull
89
38
0
05 Mar 2019
A DenseNet Based Approach for Multi-Frame In-Loop Filter in HEVC
A DenseNet Based Approach for Multi-Frame In-Loop Filter in HEVC
Tianyi Li
Mai Xu
Ren Yang
Zulin Wang
44
148
0
05 Mar 2019
The H3D Dataset for Full-Surround 3D Multi-Object Detection and Tracking
  in Crowded Urban Scenes
The H3D Dataset for Full-Surround 3D Multi-Object Detection and Tracking in Crowded Urban Scenes
Abhishek Patil
Srikanth Malla
Haiming Gang
Yi-Ting Chen
3DPC3DV
89
224
0
04 Mar 2019
Complement Objective Training
Complement Objective Training
Hao-Yun Chen
Pei-Hsin Wang
Chun-Hao Liu
Shih-Chieh Chang
Jia Pan
Yutian Chen
Wei Wei
Da-Cheng Juan
AAML
71
49
0
04 Mar 2019
Analysing Deep Learning-Spectral Envelope Prediction Methods for Singing
  Synthesis
Analysing Deep Learning-Spectral Envelope Prediction Methods for Singing Synthesis
F. Bous
A. Röbel
13
3
0
04 Mar 2019
Quaternion Convolutional Neural Networks
Quaternion Convolutional Neural Networks
Xuanyu Zhu
Yi Tian Xu
Hongteng Xu
Changjian Chen
73
153
0
02 Mar 2019
Making Sense of Audio Vibration for Liquid Height Estimation in Robotic
  Pouring
Making Sense of Audio Vibration for Liquid Height Estimation in Robotic Pouring
Hongzhuo Liang
Shuang Li
Xiaojian Ma
Norman Hendrich
Timo Gerkmann
Gang Hua
Jianwei Zhang
63
41
0
02 Mar 2019
Unsupervised Tracklet Person Re-Identification
Unsupervised Tracklet Person Re-Identification
Minxian Li
Xiatian Zhu
S. Gong
85
172
0
01 Mar 2019
PEA265: Perceptual Assessment of Video Compression Artifacts
PEA265: Perceptual Assessment of Video Compression Artifacts
Liqun Lin
Shiqi Yu
Tiesong Zhao
Zhou Wang
60
28
0
01 Mar 2019
1D Convolutional Neural Network Models for Sleep Arousal Detection
1D Convolutional Neural Network Models for Sleep Arousal Detection
M. Zabihi
Ali Bahrami Rad
S. Kiranyaz
Simo Särkkä
Moncef Gabbouj
47
14
0
01 Mar 2019
Image-Based Geo-Localization Using Satellite Imagery
Image-Based Geo-Localization Using Satellite Imagery
Sixing Hu
Gim Hee Lee
87
64
0
01 Mar 2019
Deep learning in bioinformatics: introduction, application, and
  perspective in big data era
Deep learning in bioinformatics: introduction, application, and perspective in big data era
Yu Li
Chao Huang
Lizhong Ding
Zhongxiao Li
Yijie Pan
Xin Gao
AI4CE
99
302
0
28 Feb 2019
Towards Robust ResNet: A Small Step but A Giant Leap
Towards Robust ResNet: A Small Step but A Giant Leap
Jingfeng Zhang
Bo Han
L. Wynter
K. H. Low
Mohan Kankanhalli
117
41
0
28 Feb 2019
Transformation Consistent Self-ensembling Model for Semi-supervised
  Medical Image Segmentation
Transformation Consistent Self-ensembling Model for Semi-supervised Medical Image Segmentation
Xuelong Li
Lequan Yu
Hao Chen
Chi-Wing Fu
Lei Xing
Pheng-Ann Heng
MedIm
92
390
0
28 Feb 2019
Customizing Object Detectors for Indoor Robots
Customizing Object Detectors for Indoor Robots
Saif Alabachi
G. Sukthankar
Rahul Sukthankar
37
17
0
27 Feb 2019
Fix Your Features: Stationary and Maximally Discriminative Embeddings
  using Regular Polytope (Fixed Classifier) Networks
Fix Your Features: Stationary and Maximally Discriminative Embeddings using Regular Polytope (Fixed Classifier) Networks
F. Pernici
Matteo Bruni
C. Baecchi
A. Bimbo
90
11
0
27 Feb 2019
Nonlinear Approximation via Compositions
Nonlinear Approximation via Compositions
Zuowei Shen
Haizhao Yang
Shijun Zhang
88
91
0
26 Feb 2019
Assume, Augment and Learn: Unsupervised Few-Shot Meta-Learning via
  Random Labels and Data Augmentation
Assume, Augment and Learn: Unsupervised Few-Shot Meta-Learning via Random Labels and Data Augmentation
Antreas Antoniou
Amos Storkey
SSL
106
75
0
26 Feb 2019
Adaptive Gradient Methods with Dynamic Bound of Learning Rate
Adaptive Gradient Methods with Dynamic Bound of Learning Rate
Liangchen Luo
Yuanhao Xiong
Yan Liu
Xu Sun
ODL
91
603
0
26 Feb 2019
LaSO: Label-Set Operations networks for multi-label few-shot learning
LaSO: Label-Set Operations networks for multi-label few-shot learning
Amit Alfassy
Leonid Karlinsky
Amit Aides
J. Shtok
Sivan Harary
Rogerio Feris
Raja Giryes
A. Bronstein
129
119
0
26 Feb 2019
Functional Transparency for Structured Data: a Game-Theoretic Approach
Functional Transparency for Structured Data: a Game-Theoretic Approach
Guang-He Lee
Wengong Jin
David Alvarez-Melis
Tommi Jaakkola
70
19
0
26 Feb 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
108
202
0
26 Feb 2019
Learning Implicitly Recurrent CNNs Through Parameter Sharing
Learning Implicitly Recurrent CNNs Through Parameter Sharing
Pedro H. P. Savarese
Michael Maire
94
70
0
26 Feb 2019
NAS-Bench-101: Towards Reproducible Neural Architecture Search
NAS-Bench-101: Towards Reproducible Neural Architecture Search
Chris Ying
Aaron Klein
Esteban Real
Eric Christiansen
Kevin Patrick Murphy
Frank Hutter
103
688
0
25 Feb 2019
Deep Learning for Low-Dose CT Denoising
Deep Learning for Low-Dose CT Denoising
Maryam Gholizadeh-Ansari
J. Alirezaie
P. Babyn
MedIm
69
115
0
25 Feb 2019
Data augmentation using learned transformations for one-shot medical
  image segmentation
Data augmentation using learned transformations for one-shot medical image segmentation
Amy Zhao
Guha Balakrishnan
F. Durand
John Guttag
Adrian Dalca
OODMedIm
81
399
0
25 Feb 2019
Medical Multimodal Classifiers Under Scarce Data Condition
Medical Multimodal Classifiers Under Scarce Data Condition
Faik Aydin
Maggie Zhang
M. Ananda-Rajah
Gholamreza Haffari
48
8
0
24 Feb 2019
An Effective Hit-or-Miss Layer Favoring Feature Interpretation as
  Learned Prototypes Deformations
An Effective Hit-or-Miss Layer Favoring Feature Interpretation as Learned Prototypes Deformations
Adrien Deliège
A. Cioppa
Marc Van Droogenbroeck
58
3
0
23 Feb 2019
Similarity Learning Networks for Animal Individual Re-Identification --
  Beyond the Capabilities of a Human Observer
Similarity Learning Networks for Animal Individual Re-Identification -- Beyond the Capabilities of a Human Observer
Stefan Schneider
Graham W. Taylor
Stefan S. Linquist
Stefan C. Kremer
51
64
0
21 Feb 2019
Boundary-weighted Domain Adaptive Neural Network for Prostate MR Image
  Segmentation
Boundary-weighted Domain Adaptive Neural Network for Prostate MR Image Segmentation
Qikui Zhu
Bo Du
Pingkun Yan
83
160
0
21 Feb 2019
Cross-Sensor Periocular Biometrics in a Global Pandemic: Comparative
  Benchmark and Novel Multialgorithmic Approach
Cross-Sensor Periocular Biometrics in a Global Pandemic: Comparative Benchmark and Novel Multialgorithmic Approach
F. Alonso-Fernandez
Kiran B. Raja
Ramachandra Raghavendra
C. Busch
J. Bigün
R. Vera-Rodríguez
Julian Fierrez
CVBM
88
18
0
21 Feb 2019
Deep Learning Multidimensional Projections
Deep Learning Multidimensional Projections
M. Espadoto
N. Hirata
A. Telea
47
63
0
21 Feb 2019
Error bounds for approximations with deep ReLU neural networks in
  $W^{s,p}$ norms
Error bounds for approximations with deep ReLU neural networks in Ws,pW^{s,p}Ws,p norms
Ingo Gühring
Gitta Kutyniok
P. Petersen
96
200
0
21 Feb 2019
TomoGAN: Low-Dose Synchrotron X-Ray Tomography with Generative
  Adversarial Networks
TomoGAN: Low-Dose Synchrotron X-Ray Tomography with Generative Adversarial Networks
Zhengchun Liu
Tekin Bicer
R. Kettimuthu
D. Gursoy
F. Carlo
Ian Foster
MedImGAN
135
96
0
20 Feb 2019
LipschitzLR: Using theoretically computed adaptive learning rates for
  fast convergence
LipschitzLR: Using theoretically computed adaptive learning rates for fast convergence
Rahul Yedida
Snehanshu Saha
Tejas Prashanth
ODL
53
12
0
20 Feb 2019
Evaluating model calibration in classification
Evaluating model calibration in classification
Juozas Vaicenavicius
David Widmann
Carl R. Andersson
Fredrik Lindsten
Jacob Roll
Thomas B. Schon
UQCV
182
200
0
19 Feb 2019
Reconstruction of 3-D Atomic Distortions from Electron Microscopy with
  Deep Learning
Reconstruction of 3-D Atomic Distortions from Electron Microscopy with Deep Learning
N. Laanait
Qian He
A. Borisevich
46
8
0
19 Feb 2019
WIDER Face and Pedestrian Challenge 2018: Methods and Results
WIDER Face and Pedestrian Challenge 2018: Methods and Results
Chen Change Loy
Dahua Lin
Wanli Ouyang
Yuanjun Xiong
Shuo Yang
...
Qiaokang Xie
Ziyang Wu
Lei Lu
Yiheng Liu
Wen-gang Zhou
CVBM
69
38
0
19 Feb 2019
Evolutionary Neural AutoML for Deep Learning
Evolutionary Neural AutoML for Deep Learning
J. Liang
Elliot Meyerson
Babak Hodjat
Daniel Fink
Karl Mutch
Risto Miikkulainen
55
108
0
18 Feb 2019
Low-bit Quantization of Neural Networks for Efficient Inference
Low-bit Quantization of Neural Networks for Efficient Inference
Yoni Choukroun
Eli Kravchik
Fan Yang
P. Kisilev
MQ
86
366
0
18 Feb 2019
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