Multi-scales feature integration single shot multi-box detector on small object detection

Jianbang Zhou; Bo Chen; Jiahao Zhang; Zhong Chen; Jian Yang

doi:10.1117/12.2538020

14 February 2020 Multi-scales feature integration single shot multi-box detector on small object detection

Jianbang Zhou, Bo Chen, Jiahao Zhang, Zhong Chen, Jian Yang

Proceedings Volume 11430, MIPPR 2019: Pattern Recognition and Computer Vision; 114300E (2020) https://doi.org/10.1117/12.2538020
Event: Eleventh International Symposium on Multispectral Image Processing and Pattern Recognition (MIPPR2019), 2019, Wuhan, China

Abstract

SSD (Single Shot Multi-box Detector) is one of the best object detection algorithms with both high accuracy and fast speed. However, SSD’s feature pyramid detection method only extracts the features from different scales without further procession, which leads to semantic information lost. In this paper, we proposed Multi-scales Feature Integration SSD, an enhanced SSD with feature integrated modules which can improve the performance significantly over SSD. In the feature integrated modules, features from different layers with different scales are concatenated together after some upsampling tricks, then we use the features as input of several convolutional modules, those modules will be fed to multibox detectors to predict the final results. We test our algorithm On the Pascal VOC 2007test with the input size 300×300 using a single Nvidia 1080Ti GPU. In addition, our network outperforms a lot of state-of-the-art object detection algorithms in both aspects of accuracy and speed.

Citation Download Citation

Jianbang Zhou, Bo Chen, Jiahao Zhang, Zhong Chen, and Jian Yang "Multi-scales feature integration single shot multi-box detector on small object detection", Proc. SPIE 11430, MIPPR 2019: Pattern Recognition and Computer Vision, 114300E (14 February 2020); https://doi.org/10.1117/12.2538020

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