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Training Deeper Convolutional Networks with Deep Supervision

Training Deeper Convolutional Networks with Deep Supervision

11 May 2015
Liwei Wang
Chen-Yu Lee
Zhuowen Tu
Svetlana Lazebnik
ArXiv (abs)PDFHTML

Papers citing "Training Deeper Convolutional Networks with Deep Supervision"

28 / 28 papers shown
Title
Graph-Boosted Attentive Network for Semantic Body Parsing
Graph-Boosted Attentive Network for Semantic Body Parsing
T. Wang
Huiling Wang
3DH
99
6
0
08 Jul 2024
DIGEST: Deeply supervIsed knowledGE tranSfer neTwork learning for brain
  tumor segmentation with incomplete multi-modal MRI scans
DIGEST: Deeply supervIsed knowledGE tranSfer neTwork learning for brain tumor segmentation with incomplete multi-modal MRI scans
Haoran Li
Cheng Li
Weijian Huang
Xiawu Zheng
Yantao Xi
Shanshan Wang
MedIm
45
2
0
15 Nov 2022
A Comprehensive Review on Deep Supervision: Theories and Applications
A Comprehensive Review on Deep Supervision: Theories and Applications
Renjie Li
Xinyi Wang
Guangtai Huang
Wenli Yang
Kaining Zhang
Xiaodong Gu
Son N. Tran
Saurabh Garg
Jane Elizabeth Alty
Quan-wei Bai
CLIP
54
12
0
06 Jul 2022
Uncertainty, Edge, and Reverse-Attention Guided Generative Adversarial
  Network for Automatic Building Detection in Remotely Sensed Images
Uncertainty, Edge, and Reverse-Attention Guided Generative Adversarial Network for Automatic Building Detection in Remotely Sensed Images
Somrita Chattopadhyay
A. Kak
75
4
0
10 Dec 2021
Video-based Person Re-identification with Spatial and Temporal Memory
  Networks
Video-based Person Re-identification with Spatial and Temporal Memory Networks
Chanho Eom
Geon Lee
Junghyup Lee
Bumsub Ham
80
76
0
20 Aug 2021
Medical Image Segmentation with 3D Convolutional Neural Networks: A
  Survey
Medical Image Segmentation with 3D Convolutional Neural Networks: A Survey
S. Niyas
S. Pawan
Anand Kumar
Jeny Rajan
MedIm
94
89
0
19 Aug 2021
A Multiple Classifier Approach for Concatenate-Designed Neural Networks
A Multiple Classifier Approach for Concatenate-Designed Neural Networks
Ka‐Hou Chan
S. Im
Wei Ke
46
21
0
14 Jan 2021
Power Normalizations in Fine-grained Image, Few-shot Image and Graph
  Classification
Power Normalizations in Fine-grained Image, Few-shot Image and Graph Classification
Piotr Koniusz
Hongguang Zhang
91
56
0
27 Dec 2020
Brain tumor segmentation with self-ensembled, deeply-supervised 3D U-net
  neural networks: a BraTS 2020 challenge solution
Brain tumor segmentation with self-ensembled, deeply-supervised 3D U-net neural networks: a BraTS 2020 challenge solution
T. Henry
Alexandre Carré
Marvin Lerousseau
Théo Estienne
C. Robert
Nikos Paragios
Eric Deutsch
45
80
0
30 Oct 2020
Beyond Single Stage Encoder-Decoder Networks: Deep Decoders for Semantic
  Image Segmentation
Beyond Single Stage Encoder-Decoder Networks: Deep Decoders for Semantic Image Segmentation
Gabriel L. Oliveira
S. Yogamani
Wolfram Burgard
Thomas Brox
SSeg
42
1
0
19 Jul 2020
On uncertainty estimation in active learning for image segmentation
On uncertainty estimation in active learning for image segmentation
Bo Li
T. S. Alstrøm
UQCV
62
14
0
13 Jul 2020
Energy Predictive Models for Convolutional Neural Networks on Mobile
  Platforms
Energy Predictive Models for Convolutional Neural Networks on Mobile Platforms
Crefeda Faviola Rodrigues
Graham D. Riley
M. Luján
HAI
16
2
0
10 Apr 2020
Efficient 2.5D Hand Pose Estimation via Auxiliary Multi-Task Training
  for Embedded Devices
Efficient 2.5D Hand Pose Estimation via Auxiliary Multi-Task Training for Embedded Devices
Prajwal Chidananda
Ayan Sinha
Adithya Rao
Douglas Lee
Andrew Rabinovich
3DH
28
3
0
12 Sep 2019
Auxiliary Learning for Deep Multi-task Learning
Auxiliary Learning for Deep Multi-task Learning
Yifan Liu
Bohan Zhuang
Chunhua Shen
Hao Chen
Wei Yin
MoE
54
10
0
05 Sep 2019
Accurate Retinal Vessel Segmentation via Octave Convolution Neural
  Network
Accurate Retinal Vessel Segmentation via Octave Convolution Neural Network
Zhun Fan
Jiajie Mo
Benzhang Qiu
Wenji Li
Guijie Zhu
Chong Li
Jianye Hu
Yibiao Rong
Xinjian Chen
108
29
0
28 Jun 2019
Training Neural Networks with Local Error Signals
Training Neural Networks with Local Error Signals
Arild Nøkland
L. Eidnes
105
228
0
20 Jan 2019
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
A Deeper Look at Power Normalizations
A Deeper Look at Power Normalizations
Piotr Koniusz
Hongguang Zhang
Fatih Porikli
52
56
0
24 Jun 2018
Multilevel Wavelet Decomposition Network for Interpretable Time Series
  Analysis
Multilevel Wavelet Decomposition Network for Interpretable Time Series Analysis
Jingyuan Wang
Ze Wang
Jianfeng Li
Junjie Wu
AI4TS
48
194
0
23 Jun 2018
Abdominal multi-organ segmentation with organ-attention networks and
  statistical fusion
Abdominal multi-organ segmentation with organ-attention networks and statistical fusion
Yan Wang
Yuyin Zhou
Wei Shen
Seyoun Park
Elliot K. Fishman
Alan Yuille
62
219
0
23 Apr 2018
Residual Squeeze VGG16
Residual Squeeze VGG16
Hussam Qassim
David Feinzimer
Abhishek Verma
VLM
33
21
0
05 May 2017
Knowledge-Guided Deep Fractal Neural Networks for Human Pose Estimation
Knowledge-Guided Deep Fractal Neural Networks for Human Pose Estimation
G. Ning
Zhi Zhang
Zhiquan He
GAN
66
172
0
05 May 2017
Impatient DNNs - Deep Neural Networks with Dynamic Time Budgets
Impatient DNNs - Deep Neural Networks with Dynamic Time Budgets
Manuel Amthor
E. Rodner
Joachim Denzler
110
17
0
10 Oct 2016
Knowledge Guided Disambiguation for Large-Scale Scene Classification
  with Multi-Resolution CNNs
Knowledge Guided Disambiguation for Large-Scale Scene Classification with Multi-Resolution CNNs
Limin Wang
Sheng Guo
Weilin Huang
Yuanjun Xiong
Yu Qiao
111
144
0
04 Oct 2016
Augmenting Supervised Neural Networks with Unsupervised Objectives for
  Large-scale Image Classification
Augmenting Supervised Neural Networks with Unsupervised Objectives for Large-scale Image Classification
Y. Zhang
Kibok Lee
Honglak Lee
SSL
113
143
0
21 Jun 2016
Locally-Supervised Deep Hybrid Model for Scene Recognition
Locally-Supervised Deep Hybrid Model for Scene Recognition
Sheng Guo
Weilin Huang
Limin Wang
Yu Qiao
84
54
0
27 Jan 2016
Representational Distance Learning for Deep Neural Networks
Representational Distance Learning for Deep Neural Networks
Patrick McClure
N. Kriegeskorte
78
48
0
12 Nov 2015
Places205-VGGNet Models for Scene Recognition
Places205-VGGNet Models for Scene Recognition
Limin Wang
Sheng Guo
Weilin Huang
Yu Qiao
71
155
0
07 Aug 2015
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