D-pruner: Filter-based pruning method for deep convolutional neural network
The emergence of augmented reality devices such as Google Glass and Microsoft Hololens has opened up a new class of vision sensing applications. Those applications often require the ability to continuously capture and analyze contextual information from video streams. They often adopt various deep l...
Saved in:
Main Authors: | HUYNH, Nguyen Loc, LEE, Youngki, BALAN, Rajesh Krishna |
---|---|
Format: | text |
Language: | English |
Published: |
Institutional Knowledge at Singapore Management University
2018
|
Subjects: | |
Online Access: | https://ink.library.smu.edu.sg/sis_research/4204 https://ink.library.smu.edu.sg/context/sis_research/article/5207/viewcontent/D_Pruner.pdf |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Singapore Management University |
Language: | English |
Similar Items
-
D-pruner: Filter-based pruning method for deep convolutional neural network
by: HUYNH, Nguyen Loc, et al.
Published: (2018) -
DEMO: DeepMon - Building mobile GPU Deep learning models for continuous vision applications
by: HUYNH, Loc Nguyen, et al.
Published: (2017) -
DeepMon: Mobile GPU-based deep learning framework for continuous vision applications
by: HUYNH, Nguyen Loc, et al.
Published: (2017) -
DeepSense: A GPU-based deep convolutional neural network framework on commodity mobile devices
by: HUYNH NGUYEN LOC,, et al.
Published: (2016) -
AutoPruner: transformer-based call graph pruning
by: LE, Cong Thanh, et al.
Published: (2022)