Stripe pooling and densely connected DeepLabv3 plus efficient semantic segmentation

Jiafei Wang; Yanyan Liu; Guoning Li

doi:10.1117/12.2682538

20 June 2023 Stripe pooling and densely connected DeepLabv3 plus efficient semantic segmentation

Jiafei Wang, Yanyan Liu, Guoning Li

Proceedings Volume 12715, Eighth International Conference on Electronic Technology and Information Science (ICETIS 2023); 127152R (2023) https://doi.org/10.1117/12.2682538
Event: Eighth International Conference on Electronic Technology and Information Science (ICETIS 2023), 2023, Dalian, China

Abstract

Currently, DeepLab is unable to utilize multiscale feature information at multiple levels, and there are often problems such as blurred segmentation boundaries, unclear detail extraction, and incorrect segmentation.This article optimizes the DeepLabv3 plus model The backbone network has been converted to a lightweight MobileNetV2 network. In Atrous Spatial Pyramid Pooling (ASPP), stripe pooling has been used to replace global average pooling, and the original hole ratio combination of 6, 12, and 18 has been changed to 3, 7, 9, and 17. A branch with R=3 has been added, as well as the use of dense connections. The improved ASPP has the advantage of higher acceptability. The experiment shows that the average intersection ratio of the improved DeepLabv3 plus model on the dataset is 69.71%, and the average pixel accuracy is 79.45%. Compared with the original network model, the improved average intersection ratio is increased by 3.2%. Using the above improved methods has improved the performance of DeepLabv3 plus, enabling more detailed information to be obtained, and improving the resolution of the model.

Citation Download Citation

Jiafei Wang, Yanyan Liu, and Guoning Li "Stripe pooling and densely connected DeepLabv3 plus efficient semantic segmentation", Proc. SPIE 12715, Eighth International Conference on Electronic Technology and Information Science (ICETIS 2023), 127152R (20 June 2023); https://doi.org/10.1117/12.2682538

ACCESS THE FULL ARTICLE

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: $17.00

Non-members: $21.00 ADD TO CART

PROCEEDINGS
6 PAGES

DOWNLOAD PAPER SAVE TO MY LIBRARY

GET CITATION

RIGHTS & PERMISSIONS

Get copyright permission Get copyright permission on Copyright Marketplace

KEYWORDS

Image segmentation

Semantics

Education and training

Feature extraction

Data modeling

Performance modeling

Convolution

Show All Keywords

Keywords/Phrases

Search In:

Publication Years