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PSE-Net: Channel Pruning for Convolutional Neural Networks with
  Parallel-subnets Estimator

PSE-Net: Channel Pruning for Convolutional Neural Networks with Parallel-subnets Estimator

29 August 2024
Shiguang Wang
Tao Xie
Haijun Liu
Xingcheng Zhang
Jian Cheng
ArXiv (abs)PDFHTML

Papers citing "PSE-Net: Channel Pruning for Convolutional Neural Networks with Parallel-subnets Estimator"

41 / 41 papers shown
Title
Progressive Channel-Shrinking Network
Progressive Channel-Shrinking Network
Jianhong Pan
Siyuan Yang
Lin Geng Foo
Qiuhong Ke
Hossein Rahmani
Zhipeng Fan
Jing Liu
27
1
0
01 Apr 2023
Pruning Neural Networks via Coresets and Convex Geometry: Towards No
  Assumptions
Pruning Neural Networks via Coresets and Convex Geometry: Towards No Assumptions
M. Tukan
Loay Mualem
Alaa Maalouf
3DPC
61
23
0
18 Sep 2022
Revisiting Random Channel Pruning for Neural Network Compression
Revisiting Random Channel Pruning for Neural Network Compression
Yawei Li
Kamil Adamczewski
Wen Li
Shuhang Gu
Radu Timofte
Luc Van Gool
88
86
0
11 May 2022
BCNet: Searching for Network Width with Bilaterally Coupled Network
BCNet: Searching for Network Width with Bilaterally Coupled Network
Xiu Su
Shan You
Fei Wang
Chao Qian
Changshui Zhang
Chang Xu
104
35
0
21 May 2021
Network Pruning via Resource Reallocation
Network Pruning via Resource Reallocation
Yuenan Hou
Zheng Ma
Chunxiao Liu
Zhe Wang
Chen Change Loy
40
19
0
02 Mar 2021
AttentiveNAS: Improving Neural Architecture Search via Attentive
  Sampling
AttentiveNAS: Improving Neural Architecture Search via Attentive Sampling
Dilin Wang
Meng Li
Chengyue Gong
Vikas Chandra
69
103
0
18 Nov 2020
Cream of the Crop: Distilling Prioritized Paths For One-Shot Neural
  Architecture Search
Cream of the Crop: Distilling Prioritized Paths For One-Shot Neural Architecture Search
Houwen Peng
Hao Du
Hongyuan Yu
Qi Li
Jing Liao
Jianlong Fu
71
67
0
29 Oct 2020
DMCP: Differentiable Markov Channel Pruning for Neural Networks
DMCP: Differentiable Markov Channel Pruning for Neural Networks
Shaopeng Guo
Yujie Wang
Quanquan Li
Junjie Yan
50
165
0
07 May 2020
BigNAS: Scaling Up Neural Architecture Search with Big Single-Stage
  Models
BigNAS: Scaling Up Neural Architecture Search with Big Single-Stage Models
Jiahui Yu
Pengchong Jin
Hanxiao Liu
Gabriel Bender
Pieter-Jan Kindermans
Mingxing Tan
Thomas Huang
Xiaodan Song
Ruoming Pang
Quoc V. Le
80
304
0
24 Mar 2020
HRank: Filter Pruning using High-Rank Feature Map
HRank: Filter Pruning using High-Rank Feature Map
Mingbao Lin
Rongrong Ji
Yan Wang
Yichen Zhang
Baochang Zhang
Yonghong Tian
Ling Shao
71
725
0
24 Feb 2020
Channel Pruning via Automatic Structure Search
Channel Pruning via Automatic Structure Search
Mingbao Lin
Rongrong Ji
Yuxin Zhang
Baochang Zhang
Yongjian Wu
Yonghong Tian
91
243
0
23 Jan 2020
Gate Decorator: Global Filter Pruning Method for Accelerating Deep
  Convolutional Neural Networks
Gate Decorator: Global Filter Pruning Method for Accelerating Deep Convolutional Neural Networks
Zhonghui You
Kun Yan
Jinmian Ye
Meng Ma
Ping Wang
3DPC
61
251
0
18 Sep 2019
FairNAS: Rethinking Evaluation Fairness of Weight Sharing Neural
  Architecture Search
FairNAS: Rethinking Evaluation Fairness of Weight Sharing Neural Architecture Search
Xiangxiang Chu
Bo Zhang
Ruijun Xu
69
332
0
03 Jul 2019
MMDetection: Open MMLab Detection Toolbox and Benchmark
MMDetection: Open MMLab Detection Toolbox and Benchmark
Kai-xiang Chen
Jiaqi Wang
Jiangmiao Pang
Yuhang Cao
Yu Xiong
...
Jingdong Wang
Jianping Shi
Wanli Ouyang
Chen Change Loy
Dahua Lin
VOS
153
2,868
0
17 Jun 2019
Network Pruning via Transformable Architecture Search
Network Pruning via Transformable Architecture Search
Xuanyi Dong
Yi Yang
3DPC
72
242
0
23 May 2019
Single Path One-Shot Neural Architecture Search with Uniform Sampling
Single Path One-Shot Neural Architecture Search with Uniform Sampling
Zichao Guo
Xiangyu Zhang
Haoyuan Mu
Wen Heng
Zechun Liu
Yichen Wei
Jian Sun
85
938
0
31 Mar 2019
Universally Slimmable Networks and Improved Training Techniques
Universally Slimmable Networks and Improved Training Techniques
Jiahui Yu
Thomas Huang
74
386
0
12 Mar 2019
Slimmable Neural Networks
Slimmable Neural Networks
Jiahui Yu
L. Yang
N. Xu
Jianchao Yang
Thomas Huang
85
553
0
21 Dec 2018
Filter Pruning via Geometric Median for Deep Convolutional Neural
  Networks Acceleration
Filter Pruning via Geometric Median for Deep Convolutional Neural Networks Acceleration
Yang He
Ping Liu
Ziwei Wang
Zhilan Hu
Yi Yang
AAML3DPC
92
1,049
0
01 Nov 2018
Rethinking the Value of Network Pruning
Rethinking the Value of Network Pruning
Zhuang Liu
Mingjie Sun
Tinghui Zhou
Gao Huang
Trevor Darrell
36
1,470
0
11 Oct 2018
Soft Filter Pruning for Accelerating Deep Convolutional Neural Networks
Soft Filter Pruning for Accelerating Deep Convolutional Neural Networks
Yang He
Guoliang Kang
Xuanyi Dong
Yanwei Fu
Yi Yang
AAMLVLM
66
964
0
21 Aug 2018
AutoPruner: An End-to-End Trainable Filter Pruning Method for Efficient
  Deep Model Inference
AutoPruner: An End-to-End Trainable Filter Pruning Method for Efficient Deep Model Inference
Jian-Hao Luo
Jianxin Wu
51
210
0
23 May 2018
Accelerator-Aware Pruning for Convolutional Neural Networks
Accelerator-Aware Pruning for Convolutional Neural Networks
Hyeong-Ju Kang
72
90
0
26 Apr 2018
AMC: AutoML for Model Compression and Acceleration on Mobile Devices
AMC: AutoML for Model Compression and Acceleration on Mobile Devices
Yihui He
Ji Lin
Zhijian Liu
Hanrui Wang
Li Li
Song Han
95
1,347
0
10 Feb 2018
MobileNetV2: Inverted Residuals and Linear Bottlenecks
MobileNetV2: Inverted Residuals and Linear Bottlenecks
Mark Sandler
Andrew G. Howard
Menglong Zhu
A. Zhmoginov
Liang-Chieh Chen
184
19,284
0
13 Jan 2018
ThiNet: A Filter Level Pruning Method for Deep Neural Network
  Compression
ThiNet: A Filter Level Pruning Method for Deep Neural Network Compression
Jian-Hao Luo
Jianxin Wu
Weiyao Lin
58
1,760
0
20 Jul 2017
Data-Driven Sparse Structure Selection for Deep Neural Networks
Data-Driven Sparse Structure Selection for Deep Neural Networks
Zehao Huang
Naiyan Wang
83
563
0
05 Jul 2017
Rethinking Atrous Convolution for Semantic Image Segmentation
Rethinking Atrous Convolution for Semantic Image Segmentation
Liang-Chieh Chen
George Papandreou
Florian Schroff
Hartwig Adam
SSeg
230
8,473
0
17 Jun 2017
RefineNet: Multi-Path Refinement Networks for High-Resolution Semantic
  Segmentation
RefineNet: Multi-Path Refinement Networks for High-Resolution Semantic Segmentation
Guosheng Lin
Anton Milan
Chunhua Shen
Ian Reid
AI4TSSSeg
258
2,848
0
20 Nov 2016
Pruning Filters for Efficient ConvNets
Pruning Filters for Efficient ConvNets
Hao Li
Asim Kadav
Igor Durdanovic
H. Samet
H. Graf
3DPC
193
3,697
0
31 Aug 2016
Network Trimming: A Data-Driven Neuron Pruning Approach towards
  Efficient Deep Architectures
Network Trimming: A Data-Driven Neuron Pruning Approach towards Efficient Deep Architectures
Hengyuan Hu
Rui Peng
Yu-Wing Tai
Chi-Keung Tang
69
891
0
12 Jul 2016
Fully Convolutional Networks for Semantic Segmentation
Fully Convolutional Networks for Semantic Segmentation
Evan Shelhamer
Jonathan Long
Trevor Darrell
VOSSSeg
741
37,862
0
20 May 2016
Going Deeper into Action Recognition: A Survey
Going Deeper into Action Recognition: A Survey
Samitha Herath
Mehrtash Harandi
Fatih Porikli
96
616
0
16 May 2016
XNOR-Net: ImageNet Classification Using Binary Convolutional Neural
  Networks
XNOR-Net: ImageNet Classification Using Binary Convolutional Neural Networks
Mohammad Rastegari
Vicente Ordonez
Joseph Redmon
Ali Farhadi
MQ
170
4,357
0
16 Mar 2016
Deep Residual Learning for Image Recognition
Deep Residual Learning for Image Recognition
Kaiming He
Xinming Zhang
Shaoqing Ren
Jian Sun
MedIm
2.2K
194,020
0
10 Dec 2015
You Only Look Once: Unified, Real-Time Object Detection
You Only Look Once: Unified, Real-Time Object Detection
Joseph Redmon
S. Divvala
Ross B. Girshick
Ali Farhadi
ObjD
705
36,958
0
08 Jun 2015
Learning both Weights and Connections for Efficient Neural Networks
Learning both Weights and Connections for Efficient Neural Networks
Song Han
Jeff Pool
J. Tran
W. Dally
CVBM
313
6,681
0
08 Jun 2015
Faster R-CNN: Towards Real-Time Object Detection with Region Proposal
  Networks
Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks
Shaoqing Ren
Kaiming He
Ross B. Girshick
Jian Sun
AIMatObjD
520
62,294
0
04 Jun 2015
Fast R-CNN
Fast R-CNN
Ross B. Girshick
ObjD
306
25,059
0
30 Apr 2015
Distilling the Knowledge in a Neural Network
Distilling the Knowledge in a Neural Network
Geoffrey E. Hinton
Oriol Vinyals
J. Dean
FedML
362
19,660
0
09 Mar 2015
Very Deep Convolutional Networks for Large-Scale Image Recognition
Very Deep Convolutional Networks for Large-Scale Image Recognition
Karen Simonyan
Andrew Zisserman
FAttMDE
1.6K
100,386
0
04 Sep 2014
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