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CondenseNet: An Efficient DenseNet using Learned Group Convolutions

CondenseNet: An Efficient DenseNet using Learned Group Convolutions

25 November 2017
Gao Huang
Shichen Liu
L. V. D. van der Maaten
Kilian Q. Weinberger
ArXivPDFHTML

Papers citing "CondenseNet: An Efficient DenseNet using Learned Group Convolutions"

50 / 86 papers shown
Title
Multi-Scale Fusion for Object Representation
Multi-Scale Fusion for Object Representation
Rongzhen Zhao
V. Wang
Juho Kannala
J. Pajarinen
OCL
VOS
68
1
0
02 Oct 2024
Predicting Probabilities of Error to Combine Quantization and Early
  Exiting: QuEE
Predicting Probabilities of Error to Combine Quantization and Early Exiting: QuEE
Florence Regol
Joud Chataoui
Bertrand Charpentier
Mark J. Coates
Pablo Piantanida
Stephan Gunnemann
37
0
0
20 Jun 2024
CSCO: Connectivity Search of Convolutional Operators
CSCO: Connectivity Search of Convolutional Operators
Tunhou Zhang
Shiyu Li
Hsin-Pai Cheng
Feng Yan
Hai Helen Li
Yiran Chen
34
0
0
26 Apr 2024
The Unreasonable Ineffectiveness of the Deeper Layers
The Unreasonable Ineffectiveness of the Deeper Layers
Andrey Gromov
Kushal Tirumala
Hassan Shapourian
Paolo Glorioso
Daniel A. Roberts
41
79
0
26 Mar 2024
Digital Modeling on Large Kernel Metamaterial Neural Network
Digital Modeling on Large Kernel Metamaterial Neural Network
Quan Liu
Hanyu Zheng
Brandon T. Swartz
Ho Hin Lee
Zuhayr Asad
I. Kravchenko
Jason G Valentine
Yuankai Huo
8
4
0
21 Jul 2023
Spatial-Spectral Hyperspectral Classification based on Learnable 3D
  Group Convolution
Spatial-Spectral Hyperspectral Classification based on Learnable 3D Group Convolution
Guandong Li
M. Ye
25
6
0
15 Jul 2023
Boosting Convolutional Neural Networks with Middle Spectrum Grouped
  Convolution
Boosting Convolutional Neural Networks with Middle Spectrum Grouped Convolution
Z. Su
Jiehua Zhang
Tianpeng Liu
Zhen Liu
Shuanghui Zhang
M. Pietikäinen
Li Liu
24
2
0
13 Apr 2023
Multi-class Skin Cancer Classification Architecture Based on Deep
  Convolutional Neural Network
Multi-class Skin Cancer Classification Architecture Based on Deep Convolutional Neural Network
Mst. Shapna Akter
Hossain Shahriar
S. Sneha
A. Cuzzocrea
13
24
0
13 Mar 2023
Learnable Heterogeneous Convolution: Learning both topology and strength
Learnable Heterogeneous Convolution: Learning both topology and strength
Rongzhen Zhao
Zhenzhi Wu
Qikun Zhang
19
6
0
13 Jan 2023
RepGhost: A Hardware-Efficient Ghost Module via Re-parameterization
RepGhost: A Hardware-Efficient Ghost Module via Re-parameterization
Chengpeng Chen
Zichao Guo
Haien Zeng
Pengfei Xiong
Jian Dong
26
37
0
11 Nov 2022
Latency-aware Spatial-wise Dynamic Networks
Latency-aware Spatial-wise Dynamic Networks
Yizeng Han
Zhihang Yuan
Yifan Pu
Chenhao Xue
S. Song
Guangyu Sun
Gao Huang
39
25
0
12 Oct 2022
Design Automation for Fast, Lightweight, and Effective Deep Learning
  Models: A Survey
Design Automation for Fast, Lightweight, and Effective Deep Learning Models: A Survey
Dalin Zhang
Kaixuan Chen
Yan Zhao
B. Yang
Li-Ping Yao
Christian S. Jensen
40
3
0
22 Aug 2022
EMC2A-Net: An Efficient Multibranch Cross-channel Attention Network for
  SAR Target Classification
EMC2A-Net: An Efficient Multibranch Cross-channel Attention Network for SAR Target Classification
Xiang Yu
Zhe Geng
Xiaohua Huang
Qinglu Wang
Daiyin Zhu
30
5
0
03 Aug 2022
Neural Contourlet Network for Monocular 360 Depth Estimation
Neural Contourlet Network for Monocular 360 Depth Estimation
Zhijie Shen
Chunyu Lin
Lang Nie
K. Liao
Yao Zhao
MDE
47
10
0
03 Aug 2022
Eye Gaze Estimation Model Analysis
Eye Gaze Estimation Model Analysis
Aveena Kottwani
Ayush Kumar
11
2
0
28 Jul 2022
Switchable Representation Learning Framework with Self-compatibility
Switchable Representation Learning Framework with Self-compatibility
Shengsen Wu
Yan Bai
Yihang Lou
Xiongkun Linghu
Jianzhong He
Ling-yu Duan
22
1
0
16 Jun 2022
A review of machine learning approaches, challenges and prospects for
  computational tumor pathology
A review of machine learning approaches, challenges and prospects for computational tumor pathology
Liangrui Pan
Zhichao Feng
Shaoliang Peng
AI4CE
19
7
0
31 May 2022
An Examination of Bias of Facial Analysis based BMI Prediction Models
An Examination of Bias of Facial Analysis based BMI Prediction Models
Hera Siddiqui
A. Rattani
K. Ricanek
Twyla J. Hill
CVBM
31
12
0
21 Apr 2022
The Effects of Regularization and Data Augmentation are Class Dependent
The Effects of Regularization and Data Augmentation are Class Dependent
Randall Balestriero
Léon Bottou
Yann LeCun
28
94
0
07 Apr 2022
Dynamic Multimodal Fusion
Dynamic Multimodal Fusion
Zihui Xue
R. Marculescu
34
47
0
31 Mar 2022
Selective Residual M-Net for Real Image Denoising
Selective Residual M-Net for Real Image Denoising
Chi-Mao Fan
Tsung-Jung Liu
Kuan-Hsien Liu
26
20
0
03 Mar 2022
Extracting Effective Subnetworks with Gumbel-Softmax
Extracting Effective Subnetworks with Gumbel-Softmax
Robin Dupont
M. Alaoui
H. Sahbi
A. Lebois
14
6
0
25 Feb 2022
Glance and Focus Networks for Dynamic Visual Recognition
Glance and Focus Networks for Dynamic Visual Recognition
Gao Huang
Yulin Wang
Kangchen Lv
Haojun Jiang
Wenhui Huang
Pengfei Qi
S. Song
3DH
68
49
0
09 Jan 2022
Learning Robust and Lightweight Model through Separable Structured
  Transformations
Learning Robust and Lightweight Model through Separable Structured Transformations
Xian Wei
Yanhui Huang
Yang Xu
Mingsong Chen
Hai Lan
Yuanxiang Li
Zhongfeng Wang
Xuan Tang
OOD
18
0
0
27 Dec 2021
MOSAIC: Mobile Segmentation via decoding Aggregated Information and
  encoded Context
MOSAIC: Mobile Segmentation via decoding Aggregated Information and encoded Context
Weijun Wang
Andrew G. Howard
Mamba
29
4
0
22 Dec 2021
Batch Normalization Tells You Which Filter is Important
Batch Normalization Tells You Which Filter is Important
Junghun Oh
Heewon Kim
Sungyong Baik
Chee Hong
Kyoung Mu Lee
CVBM
18
8
0
02 Dec 2021
CondenseNeXt: An Ultra-Efficient Deep Neural Network for Embedded
  Systems
CondenseNeXt: An Ultra-Efficient Deep Neural Network for Embedded Systems
Priyank Kalgaonkar
M. El-Sharkawy
3DH
17
5
0
01 Dec 2021
Generalized Depthwise-Separable Convolutions for Adversarially Robust
  and Efficient Neural Networks
Generalized Depthwise-Separable Convolutions for Adversarially Robust and Efficient Neural Networks
Hassan Dbouk
Naresh R Shanbhag
AAML
19
7
0
28 Oct 2021
Self-Supervised Visual Representation Learning Using Lightweight
  Architectures
Self-Supervised Visual Representation Learning Using Lightweight Architectures
Prathamesh Sonawane
Sparsh Drolia
Saqib Nizam Shamsi
Bhargav Jain
SSL
17
1
0
21 Oct 2021
Semi-tensor Product-based TensorDecomposition for Neural Network
  Compression
Semi-tensor Product-based TensorDecomposition for Neural Network Compression
Hengling Zhao
Yipeng Liu
Xiaolin Huang
Ce Zhu
31
6
0
30 Sep 2021
PDFNet: Pointwise Dense Flow Network for Urban-Scene Segmentation
PDFNet: Pointwise Dense Flow Network for Urban-Scene Segmentation
Venkata Satya Sai Ajay Daliparthi
3DPC
19
0
0
21 Sep 2021
RADARS: Memory Efficient Reinforcement Learning Aided Differentiable
  Neural Architecture Search
RADARS: Memory Efficient Reinforcement Learning Aided Differentiable Neural Architecture Search
Zheyu Yan
Weiwen Jiang
X. S. Hu
Yiyu Shi
45
10
0
13 Sep 2021
Bias Loss for Mobile Neural Networks
Bias Loss for Mobile Neural Networks
L. Abrahamyan
Valentin Ziatchin
Yiming Chen
Nikos Deligiannis
11
14
0
23 Jul 2021
A Feature Fusion-Net Using Deep Spatial Context Encoder and
  Nonstationary Joint Statistical Model for High Resolution SAR Image
  Classification
A Feature Fusion-Net Using Deep Spatial Context Encoder and Nonstationary Joint Statistical Model for High Resolution SAR Image Classification
Wenkai Liang
Yan Wu
Ming Li
Peng Zhang
Yi Cao
Xin Hu
21
6
0
11 May 2021
CondenseNet V2: Sparse Feature Reactivation for Deep Networks
CondenseNet V2: Sparse Feature Reactivation for Deep Networks
Le Yang
Haojun Jiang
Ruojin Cai
Yulin Wang
Shiji Song
Gao Huang
Qi Tian
DD
20
64
0
09 Apr 2021
Compacting Deep Neural Networks for Internet of Things: Methods and
  Applications
Compacting Deep Neural Networks for Internet of Things: Methods and Applications
Ke Zhang
Hanbo Ying
Hongning Dai
Lin Li
Yuangyuang Peng
Keyi Guo
Hongfang Yu
16
38
0
20 Mar 2021
Knowledge Evolution in Neural Networks
Knowledge Evolution in Neural Networks
Ahmed Taha
Abhinav Shrivastava
L. Davis
45
21
0
09 Mar 2021
DeepReDuce: ReLU Reduction for Fast Private Inference
DeepReDuce: ReLU Reduction for Fast Private Inference
N. Jha
Zahra Ghodsi
S. Garg
Brandon Reagen
39
90
0
02 Mar 2021
Auto Graph Encoder-Decoder for Neural Network Pruning
Auto Graph Encoder-Decoder for Neural Network Pruning
Sixing Yu
Arya Mazaheri
Ali Jannesari
GNN
16
38
0
25 Nov 2020
Larq Compute Engine: Design, Benchmark, and Deploy State-of-the-Art
  Binarized Neural Networks
Larq Compute Engine: Design, Benchmark, and Deploy State-of-the-Art Binarized Neural Networks
T. Bannink
Arash Bakhtiari
Adam Hillier
Lukas Geiger
T. D. Bruin
Leon Overweel
J. Neeven
K. Helwegen
3DV
MQ
13
36
0
18 Nov 2020
Brain-Inspired Learning on Neuromorphic Substrates
Brain-Inspired Learning on Neuromorphic Substrates
Friedemann Zenke
Emre Neftci
31
87
0
22 Oct 2020
Dense Dual-Path Network for Real-time Semantic Segmentation
Dense Dual-Path Network for Real-time Semantic Segmentation
Xinneng Yang
Yan Wu
Junqiao Zhao
Feilin Liu
SSeg
37
12
0
21 Oct 2020
Self-grouping Convolutional Neural Networks
Self-grouping Convolutional Neural Networks
Qingbei Guo
Xiaojun Wu
J. Kittler
Zhiquan Feng
19
22
0
29 Sep 2020
NASB: Neural Architecture Search for Binary Convolutional Neural
  Networks
NASB: Neural Architecture Search for Binary Convolutional Neural Networks
Baozhou Zhu
Zaid Al-Ars
P. Hofstee
MQ
15
23
0
08 Aug 2020
A Preliminary Exploration into an Alternative CellLineNet: An
  Evolutionary Approach
A Preliminary Exploration into an Alternative CellLineNet: An Evolutionary Approach
A. Nwachuku
X. Palmer
D. Akogo
36
0
0
26 Jul 2020
Graph Structure of Neural Networks
Graph Structure of Neural Networks
Jiaxuan You
J. Leskovec
Kaiming He
Saining Xie
GNN
19
136
0
13 Jul 2020
S2RMs: Spatially Structured Recurrent Modules
S2RMs: Spatially Structured Recurrent Modules
Nasim Rahaman
Anirudh Goyal
Muhammad Waleed Gondal
M. Wuthrich
Stefan Bauer
Yash Sharma
Yoshua Bengio
Bernhard Schölkopf
21
14
0
13 Jul 2020
Term Revealing: Furthering Quantization at Run Time on Quantized DNNs
Term Revealing: Furthering Quantization at Run Time on Quantized DNNs
H. T. Kung
Bradley McDanel
S. Zhang
MQ
13
9
0
13 Jul 2020
Estimation with Uncertainty via Conditional Generative Adversarial
  Networks
Estimation with Uncertainty via Conditional Generative Adversarial Networks
Minhyeok Lee
Junhee Seok
MedIm
22
14
0
01 Jul 2020
SEFR: A Fast Linear-Time Classifier for Ultra-Low Power Devices
SEFR: A Fast Linear-Time Classifier for Ultra-Low Power Devices
Hamidreza Keshavarz
M. S. Abadeh
Reza Rawassizadeh
11
15
0
08 Jun 2020
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