Mr. Wenhao Tang Profile

Wenhao Tang

at Huazhong Institute of Electro-Optics

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 | 12 March 2021 Paper

Facial expression recognition using switch instance-batch normalization

Wenhao Tang

Proceedings Volume 11763, 117631H (2021) https://doi.org/10.1117/12.2586281

Read Abstract +

Facial expression recognition is widely used in video surveillance, assisted driving, and distance education. With the application of deep learning technology in facial expression recognition, many previous studies have shown good performance, but they are mainly identified in small-scale datasets with limited samples, lacking generalization ability for a wide range of scenes, and can’t meet the practical application needs. Previous studies have shown that Instance Normalization (IN) exhibits strong performance in terms of appearance invariance. In this paper, the normalization layer of facial expression recognition network is studied extensively, and a Switchable Instance-Batch Normalization (SIBN) method is proposed to balance feature appearance variance and content semantic information. The method was verified in three commonly used expression datasets CK+, Oulu-CASIA, and MMI. The experimental results show that SIBN stability improves the recognition accuracy of the model on a single dataset, and greatly enhances the performance of network cross-domain identification. The experimental results demonstrate the superiority of the proposed method.

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