Mr. Zerui Yang Profile

Zerui Yang

at Shanghai Jiao Tong Univ

SPIE Involvement:

Author

Publications (1)

This will count as one of your downloads.

You will have access to both the presentation and article (if available).

DOWNLOAD NOW

This content is available for download via your institution's subscription. To access this item, please sign in to your personal account.

Email or Username Forgot your username?

Password Forgot your password?

Show

Keep me signed in

No SPIE account? Create an account

Proceedings Article | 18 November 2019 Paper

Dynamic-stride-net: deep convolutional neural network with dynamic stride

Zerui Yang, Yuhui Xu, Wenrui Dai, Hongkai Xiong

Proceedings Volume 11187, 1118707 (2019) https://doi.org/10.1117/12.2537799

KEYWORDS: Convolutional neural networks, Convolution, Visualization, Data modeling

Read Abstract +

It is crucial to reduce the cost of deep convolutional neural networks while preserving their accuracy. Existing methods adaptively prune DNNs in a layer-wise or channel-wise manner based on the input image. In this paper, we develop a novel dynamic network, namely Dynamic-Stride-Net, to improve residual network with layer-wise adaptive strides in the convolution operations. Dynamic-Stride-Net leverages a gating network to adaptively select the strides of convolutional blocks based on the outputs of the previous layer. To optimize the selection of strides, the gating network is trained by reinforcement learning. The floating point operations per second (FLOPS) is significantly reduced by adapting the strides to convolutional layers without loss of accuracy. Dynamic-Stride-Net reduces the computational cost by 35%-50% with equivalent accuracy of the original model on CIFAR-10 and CIFAR-100 datasets. It outperforms the state-of-the-art dynamic networks and static compression methods.

My Library

You currently do not have any folders to save your paper to! Create a new folder below.

Folder Name

Folder Description

View contact details

UPDATE YOUR PROFILE

Is this your profile? Update it now.

Sign into your SPIE.org account

Don’t have a profile and want one?

Create an account on SPIE.org

Access to the requested content is limited to institutions that have purchased or subscribe to SPIE eBooks. You are receiving this notice because your organization may not have SPIE eBooks access.*

*Shibboleth/Open Athens users─please sign in to access your institution's subscriptions.

To obtain this item, you may purchase the complete book in print or electronic format on SPIE.org.

ORGANIZATIONAL
Sign in with credentials provided by your organization.

Organizational Username

Organizational Password

Show/Hide Password

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available

Members:

Non-members: ADD TO CART

Keywords/Phrases

Search In:

Publication Years