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Sculpting Efficiency: Pruning Medical Imaging Models for On-Device
  Inference
v1v2 (latest)

Sculpting Efficiency: Pruning Medical Imaging Models for On-Device Inference

10 September 2023
Sudarshan Sreeram
Bernhard Kainz
ArXiv (abs)PDFHTML

Papers citing "Sculpting Efficiency: Pruning Medical Imaging Models for On-Device Inference"

12 / 12 papers shown
Title
Efficient Medical Image Segmentation Based on Knowledge Distillation
Efficient Medical Image Segmentation Based on Knowledge Distillation
Dian Qin
Jiajun Bu
Zhe Liu
Xin Shen
Sheng Zhou
Jingjun Gu
Zhihong Wang
Lei Wu
Hui-Fen Dai
56
129
0
23 Aug 2021
Zero-Cost Proxies for Lightweight NAS
Zero-Cost Proxies for Lightweight NAS
Mohamed S. Abdelfattah
Abhinav Mehrotra
Łukasz Dudziak
Nicholas D. Lane
75
260
0
20 Jan 2021
Iteratively Pruned Deep Learning Ensembles for COVID-19 Detection in
  Chest X-rays
Iteratively Pruned Deep Learning Ensembles for COVID-19 Detection in Chest X-rays
S. Rajaraman
Jenifer Siegelman
P. Alderson
Lucas S. Folio
L. Folio
Sameer Kiran Antani
41
267
0
16 Apr 2020
What is the State of Neural Network Pruning?
What is the State of Neural Network Pruning?
Davis W. Blalock
Jose Javier Gonzalez Ortiz
Jonathan Frankle
John Guttag
275
1,053
0
06 Mar 2020
Rethinking the Value of Network Pruning
Rethinking the Value of Network Pruning
Zhuang Liu
Mingjie Sun
Tinghui Zhou
Gao Huang
Trevor Darrell
36
1,474
0
11 Oct 2018
SNIP: Single-shot Network Pruning based on Connection Sensitivity
SNIP: Single-shot Network Pruning based on Connection Sensitivity
Namhoon Lee
Thalaiyasingam Ajanthan
Philip Torr
VLM
266
1,207
0
04 Oct 2018
To prune, or not to prune: exploring the efficacy of pruning for model
  compression
To prune, or not to prune: exploring the efficacy of pruning for model compression
Michael Zhu
Suyog Gupta
197
1,281
0
05 Oct 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
232
8,488
0
17 Jun 2017
Exploring the Regularity of Sparse Structure in Convolutional Neural
  Networks
Exploring the Regularity of Sparse Structure in Convolutional Neural Networks
Huizi Mao
Song Han
Jeff Pool
Wenshuo Li
Xingyu Liu
Yu Wang
W. Dally
105
244
0
24 May 2017
Pruning Filters for Efficient ConvNets
Pruning Filters for Efficient ConvNets
Hao Li
Asim Kadav
Igor Durdanovic
H. Samet
H. Graf
3DPC
195
3,705
0
31 Aug 2016
DeepLab: Semantic Image Segmentation with Deep Convolutional Nets,
  Atrous Convolution, and Fully Connected CRFs
DeepLab: Semantic Image Segmentation with Deep Convolutional Nets, Atrous Convolution, and Fully Connected CRFs
Liang-Chieh Chen
George Papandreou
Iasonas Kokkinos
Kevin Patrick Murphy
Alan Yuille
SSeg
267
18,267
0
02 Jun 2016
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
6,700
0
08 Jun 2015
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