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Deeply-Supervised Nets

Deeply-Supervised Nets

18 September 2014
Chen-Yu Lee
Saining Xie
Patrick W. Gallagher
Zhengyou Zhang
Zhuowen Tu
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Papers citing "Deeply-Supervised Nets"

50 / 855 papers shown
Title
Siamese Labels Auxiliary Learning
Siamese Labels Auxiliary Learning
Wenrui Gan
Zhulin Liu
Chong Chen
Tong Zhang
22
1
0
27 Feb 2021
EDITH :ECG biometrics aided by Deep learning for reliable Individual
  auTHentication
EDITH :ECG biometrics aided by Deep learning for reliable Individual auTHentication
Nabil Ibtehaz
M. Chowdhury
Amith Khandakar
S. Kiranyaz
Mohammad Sohel Rahman
Anas Tahir
Yazan Qiblawey
Tawsifur Rahman
14
38
0
16 Feb 2021
Mediastinal lymph nodes segmentation using 3D convolutional neural
  network ensembles and anatomical priors guiding
Mediastinal lymph nodes segmentation using 3D convolutional neural network ensembles and anatomical priors guiding
D. Bouget
André Pedersen
J. Vanel
H. O. Leira
T. Langø
20
27
0
11 Feb 2021
More Is More -- Narrowing the Generalization Gap by Adding
  Classification Heads
More Is More -- Narrowing the Generalization Gap by Adding Classification Heads
Roee Cates
D. Weinshall
OOD
13
0
0
09 Feb 2021
Two-Step Image Dehazing with Intra-domain and Inter-domain Adaptation
Two-Step Image Dehazing with Intra-domain and Inter-domain Adaptation
Xin Yi
Bo Ma
Yulin Zhang
Longyao Liu
Jiahao Wu
23
3
0
06 Feb 2021
Revisiting Locally Supervised Learning: an Alternative to End-to-end
  Training
Revisiting Locally Supervised Learning: an Alternative to End-to-end Training
Yulin Wang
Zanlin Ni
Shiji Song
Le Yang
Gao Huang
19
83
0
26 Jan 2021
Deep Learning for Scene Classification: A Survey
Deep Learning for Scene Classification: A Survey
Delu Zeng
Minyu Liao
M. Tavakolian
Yulan Guo
Bolei Zhou
D. Hu
M. Pietikäinen
Li Liu
VLM
29
27
0
26 Jan 2021
Cell image segmentation by Feature Random Enhancement Module
Cell image segmentation by Feature Random Enhancement Module
Takamasa Ando
Kazuhiro Hotta
SSeg
11
4
0
20 Jan 2021
Meningioma segmentation in T1-weighted MRI leveraging global context and
  attention mechanisms
Meningioma segmentation in T1-weighted MRI leveraging global context and attention mechanisms
D. Bouget
André Pedersen
Sayied Abdol Mohieb Hosainey
O. Solheim
Ingerid Reinertsen
50
24
0
19 Jan 2021
LNSMM: Eye Gaze Estimation With Local Network Share Multiview Multitask
LNSMM: Eye Gaze Estimation With Local Network Share Multiview Multitask
Yong Huang
Benny Chen
Daiming Qu
19
3
0
18 Jan 2021
Boundary-Aware Segmentation Network for Mobile and Web Applications
Boundary-Aware Segmentation Network for Mobile and Web Applications
Xuebin Qin
Deng-Ping Fan
Chenyang Huang
Cyril Diagne
Zichen Zhang
Adria Cabeza SantÁnna
Albert Suàrez
Martin Jägersand
Ling Shao
SSeg
32
79
0
12 Jan 2021
PEng4NN: An Accurate Performance Estimation Engine for Efficient
  Automated Neural Network Architecture Search
PEng4NN: An Accurate Performance Estimation Engine for Efficient Automated Neural Network Architecture Search
A. Rorabaugh
Silvina Caíno-Lores
Michael R. Wyatt
Travis Johnston
M. Taufer
27
2
0
11 Jan 2021
Training Deep Architectures Without End-to-End Backpropagation: A Survey
  on the Provably Optimal Methods
Training Deep Architectures Without End-to-End Backpropagation: A Survey on the Provably Optimal Methods
Shiyu Duan
José C. Príncipe
MQ
38
3
0
09 Jan 2021
Contextual Classification Using Self-Supervised Auxiliary Models for
  Deep Neural Networks
Contextual Classification Using Self-Supervised Auxiliary Models for Deep Neural Networks
Sebastián M. Palacio
P. Engler
Jörn Hees
Andreas Dengel
17
1
0
07 Jan 2021
Line Segment Detection Using Transformers without Edges
Line Segment Detection Using Transformers without Edges
Yifan Xu
Weijian Xu
David Cheung
Zhuowen Tu
ViT
11
101
0
06 Jan 2021
MA-Unet: An improved version of Unet based on multi-scale and attention
  mechanism for medical image segmentation
MA-Unet: An improved version of Unet based on multi-scale and attention mechanism for medical image segmentation
Yutong Cai
Yong Wang
SSeg
39
68
0
20 Dec 2020
Group-Wise Semantic Mining for Weakly Supervised Semantic Segmentation
Group-Wise Semantic Mining for Weakly Supervised Semantic Segmentation
Xueyi Li
Tianfei Zhou
Jianwu Li
Yi Zhou
Zhaoxiang Zhang
22
122
0
09 Dec 2020
Seed the Views: Hierarchical Semantic Alignment for Contrastive
  Representation Learning
Seed the Views: Hierarchical Semantic Alignment for Contrastive Representation Learning
Haohang Xu
Xiaopeng Zhang
Hao Li
Lingxi Xie
H. Xiong
Qi Tian
SSL
16
12
0
04 Dec 2020
Uncertainty-Aware Physically-Guided Proxy Tasks for Unseen Domain Face
  Anti-spoofing
Uncertainty-Aware Physically-Guided Proxy Tasks for Unseen Domain Face Anti-spoofing
Junru Wu
Xiang Yu
Buyu Liu
Zhangyang Wang
Manmohan Chandraker
CVBM
21
2
0
28 Nov 2020
Dual Contradistinctive Generative Autoencoder
Dual Contradistinctive Generative Autoencoder
Gaurav Parmar
Dacheng Li
Kwonjoon Lee
Zhuowen Tu
GAN
30
81
0
19 Nov 2020
w-Net: Dual Supervised Medical Image Segmentation Model with
  Multi-Dimensional Attention and Cascade Multi-Scale Convolution
w-Net: Dual Supervised Medical Image Segmentation Model with Multi-Dimensional Attention and Cascade Multi-Scale Convolution
Bo Wang
Lei Wang
Junyang Chen
Zhenghua Xu
Thomas Lukasiewicz
Zhigang Fu
37
7
0
15 Nov 2020
Efficient Medical Image Segmentation with Intermediate Supervision
  Mechanism
Efficient Medical Image Segmentation with Intermediate Supervision Mechanism
Di Yuan
Junyang Chen
Zhenghua Xu
Thomas Lukasiewicz
Zhigang Fu
Guizhi Xu
13
0
0
15 Nov 2020
Towards Understanding the Regularization of Adversarial Robustness on
  Neural Networks
Towards Understanding the Regularization of Adversarial Robustness on Neural Networks
Yuxin Wen
Shuai Li
Kui Jia
AAML
15
24
0
15 Nov 2020
NightVision: Generating Nighttime Satellite Imagery from Infra-Red
  Observations
NightVision: Generating Nighttime Satellite Imagery from Infra-Red Observations
P. Harder
W. Jones
Redouane Lguensat
S. Bouabid
James Fulton
...
Aris Marcolongo
Sofija Stefanović
Y. Rao
P. Manshausen
D. Watson‐Parris
11
7
0
13 Nov 2020
Deeply-Supervised Density Regression for Automatic Cell Counting in
  Microscopy Images
Deeply-Supervised Density Regression for Automatic Cell Counting in Microscopy Images
Shenghua He
K. T. Minn
L. Solnica-Krezel
M. Anastasio
Hua Li
24
59
0
07 Nov 2020
Improving RNN Transducer Based ASR with Auxiliary Tasks
Improving RNN Transducer Based ASR with Auxiliary Tasks
Chunxi Liu
Frank Zhang
Duc Le
Suyoun Kim
Yatharth Saraf
Geoffrey Zweig
26
49
0
05 Nov 2020
Generalized Wasserstein Dice Score, Distributionally Robust Deep
  Learning, and Ranger for brain tumor segmentation: BraTS 2020 challenge
Generalized Wasserstein Dice Score, Distributionally Robust Deep Learning, and Ranger for brain tumor segmentation: BraTS 2020 challenge
Lucas Fidon
Sebastien Ourselin
Tom Kamiel Magda Vercauteren
OOD
MedIm
24
41
0
03 Nov 2020
Volumetric Medical Image Segmentation: A 3D Deep Coarse-to-fine
  Framework and Its Adversarial Examples
Volumetric Medical Image Segmentation: A 3D Deep Coarse-to-fine Framework and Its Adversarial Examples
Yingwei Li
Zhuotun Zhu
Yuyin Zhou
Yingda Xia
Wei Shen
Elliot K. Fishman
Alan Yuille
MedIm
33
23
0
29 Oct 2020
ResNet or DenseNet? Introducing Dense Shortcuts to ResNet
ResNet or DenseNet? Introducing Dense Shortcuts to ResNet
Chaoning Zhang
Philipp Benz
Dawit Mureja Argaw
Seokju Lee
Junsik Kim
François Rameau
Jean-Charles Bazin
In So Kweon
18
111
0
23 Oct 2020
Progressive Training of Multi-level Wavelet Residual Networks for Image
  Denoising
Progressive Training of Multi-level Wavelet Residual Networks for Image Denoising
Yali Peng
Yue Cao
Shigang Liu
Jian Yang
W. Zuo
27
11
0
23 Oct 2020
Overfitting or Underfitting? Understand Robustness Drop in Adversarial
  Training
Overfitting or Underfitting? Understand Robustness Drop in Adversarial Training
Zichao Li
Liyuan Liu
Chengyu Dong
Jingbo Shang
AAML
22
8
0
15 Oct 2020
Selective Information Passing for MR/CT Image Segmentation
Selective Information Passing for MR/CT Image Segmentation
Qikui Zhu
Liang Li
Jiangnan Hao
Y. Zha
Yan Zhang
Yanxiang Cheng
Fei Liao
Pingxiang Li
MedIm
25
5
0
10 Oct 2020
Be Your Own Best Competitor! Multi-Branched Adversarial Knowledge
  Transfer
Be Your Own Best Competitor! Multi-Branched Adversarial Knowledge Transfer
Mahdi Ghorbani
Fahimeh Fooladgar
S. Kasaei
AAML
39
0
0
09 Oct 2020
Lightweight, Dynamic Graph Convolutional Networks for AMR-to-Text
  Generation
Lightweight, Dynamic Graph Convolutional Networks for AMR-to-Text Generation
Yan Zhang
Zhijiang Guo
Zhiyang Teng
Wei Lu
Shay B. Cohen
Zuozhu Liu
Lidong Bing
GNN
24
18
0
09 Oct 2020
Deep Tiered Image Segmentation For Detecting Internal Ice Layers in
  Radar Imagery
Deep Tiered Image Segmentation For Detecting Internal Ice Layers in Radar Imagery
Yuchen Wang
Mingze Xu
John Paden
L. Koenig
Geoffrey C. Fox
David J. Crandall
18
8
0
08 Oct 2020
Photon-Driven Neural Path Guiding
Photon-Driven Neural Path Guiding
Shilin Zhu
Zexiang Xu
Tiancheng Sun
Alexandr Kuznetsov
Mark Meyer
H. Jensen
Hao Su
R. Ramamoorthi
6
0
0
05 Oct 2020
MDReg-Net: Multi-resolution diffeomorphic image registration using fully
  convolutional networks with deep self-supervision
MDReg-Net: Multi-resolution diffeomorphic image registration using fully convolutional networks with deep self-supervision
Hongming Li
Yong-Xian Fan
MedIm
27
16
0
04 Oct 2020
Stochastic Precision Ensemble: Self-Knowledge Distillation for Quantized
  Deep Neural Networks
Stochastic Precision Ensemble: Self-Knowledge Distillation for Quantized Deep Neural Networks
Yoonho Boo
Sungho Shin
Jungwook Choi
Wonyong Sung
MQ
30
29
0
30 Sep 2020
MPG-Net: Multi-Prediction Guided Network for Segmentation of Retinal
  Layers in OCT Images
MPG-Net: Multi-Prediction Guided Network for Segmentation of Retinal Layers in OCT Images
Zeyu Fu
Yang Sun
Xinming Zhang
Scott Stainton
Shaun Barney
J. Hogg
W. Innes
S. Dlay
16
3
0
28 Sep 2020
Medical Image Segmentation Using Deep Learning: A Survey
Medical Image Segmentation Using Deep Learning: A Survey
Risheng Wang
Tao Lei
Xiaogang Du
Yong Wan
Hongying Meng
A. Nandi
SSeg
OOD
33
544
0
28 Sep 2020
Variational Temporal Deep Generative Model for Radar HRRP Target
  Recognition
Variational Temporal Deep Generative Model for Radar HRRP Target Recognition
D. Guo
Bo Chen
Wenchao Chen
Changbo Wang
Hongwei Liu
Mingyuan Zhou
BDL
35
35
0
28 Sep 2020
Enhancing MRI Brain Tumor Segmentation with an Additional Classification
  Network
Enhancing MRI Brain Tumor Segmentation with an Additional Classification Network
Hieu T. Nguyen
T. Le
T. Nguyen
N. T. Nguyen
15
20
0
25 Sep 2020
DPN: Detail-Preserving Network with High Resolution Representation for
  Efficient Segmentation of Retinal Vessels
DPN: Detail-Preserving Network with High Resolution Representation for Efficient Segmentation of Retinal Vessels
Song Guo
13
31
0
25 Sep 2020
Dual Encoder Fusion U-Net (DEFU-Net) for Cross-manufacturer Chest X-ray
  Segmentation
Dual Encoder Fusion U-Net (DEFU-Net) for Cross-manufacturer Chest X-ray Segmentation
Lipei Zhang
Aozhi Liu
Jing Xiao
P. Taylor
18
22
0
11 Sep 2020
SoFAr: Shortcut-based Fractal Architectures for Binary Convolutional
  Neural Networks
SoFAr: Shortcut-based Fractal Architectures for Binary Convolutional Neural Networks
Baozhou Zhu
P. Hofstee
Jinho Lee
Zaid Al-Ars
MQ
17
2
0
11 Sep 2020
S-SGD: Symmetrical Stochastic Gradient Descent with Weight Noise
  Injection for Reaching Flat Minima
S-SGD: Symmetrical Stochastic Gradient Descent with Weight Noise Injection for Reaching Flat Minima
Wonyong Sung
Iksoo Choi
Jinhwan Park
Seokhyun Choi
Sungho Shin
ODL
24
7
0
05 Sep 2020
Heightmap Reconstruction of Macula on Color Fundus Images Using
  Conditional Generative Adversarial Networks
Heightmap Reconstruction of Macula on Color Fundus Images Using Conditional Generative Adversarial Networks
Peyman Tahghighi
R. Zoroofi
Sareh Saffi
Alireza Ramezani
GAN
MedIm
13
1
0
03 Sep 2020
Deep Ice Layer Tracking and Thickness Estimation using Fully
  Convolutional Networks
Deep Ice Layer Tracking and Thickness Estimation using Fully Convolutional Networks
D. Varshney
Maryam Rahnemoonfar
M. Yari
John Paden
8
23
0
01 Sep 2020
MetaDistiller: Network Self-Boosting via Meta-Learned Top-Down
  Distillation
MetaDistiller: Network Self-Boosting via Meta-Learned Top-Down Distillation
Benlin Liu
Yongming Rao
Jiwen Lu
Jie Zhou
Cho-Jui Hsieh
6
37
0
27 Aug 2020
ATM Cash demand forecasting in an Indian Bank with chaos and deep
  learning
ATM Cash demand forecasting in an Indian Bank with chaos and deep learning
Sarveswararao Vangala
V. Ravi
BDL
19
18
0
24 Aug 2020
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